[{"data":1,"prerenderedAt":1099},["ShallowReactive",2],{"news-list":3},[4,130,335,365,485,553,704,826,943],{"id":5,"title":6,"author":7,"authorPhoto":8,"body":9,"date":120,"description":121,"extension":122,"leadImage":123,"logoMark":8,"meta":124,"navigation":125,"path":126,"seo":127,"stem":128,"__hash__":129},"news\u002Fnews\u002Fonebucket-ai-data-lab-new-york.md","OneBucket™ AI Data Lab Comes to New York on October 6","Attimis News",null,{"type":10,"value":11,"toc":112},"minimark",[12,19,22,27,30,33,37,40,56,59,63,66,70,97,106],[13,14,15],"p",{},[16,17,18],"strong",{},"AI reaches less than 10% of your data. Connect the rest, safely.",[13,20,21],{},"Attimis is bringing the OneBucket™ AI Data Lab to New York, NY on October 6, 2026. It is a hands-on working session, not a slideshow, for data and infrastructure teams who are tired of watching AI projects stall at the same wall: the data the models need is spread across clouds, on-prem arrays, and legacy buckets that no agent can safely reach.",[23,24,26],"h2",{"id":25},"the-problem-we-are-solving-in-the-room","The Problem We Are Solving in the Room",[13,28,29],{},"Most enterprises have spent years accumulating object storage across AWS, Google Cloud, Oracle Cloud, Wasabi, Seagate Lyve Cloud, and on-prem systems. Each silo works fine on its own. Together they are invisible to the AI stack. Moving everything into one place means egress bills, months of migration, and a new lock-in. Leaving it where it is means AI gets a sliver of the picture.",[13,31,32],{},"The AI Data Lab is built to show a third option: leave the data where it lives, put a single governed access layer in front of it, and let AI agents work with all of it through one endpoint.",[23,34,36],{"id":35},"what-you-will-actually-do","What You Will Actually Do",[13,38,39],{},"Bring your own storage patterns and your own security requirements. Over the course of the lab, participants will:",[41,42,43,47,50,53],"ul",{},[44,45,46],"li",{},"Connect existing S3-compatible buckets across multiple providers to a single OneBucket™ endpoint, with no data copied and no application rewrites.",[44,48,49],{},"Expose that data to AI agents through OneBucket's native MCP server, with OAuth 2.1 authorization scoped to exactly what each agent is allowed to see.",[44,51,52],{},"Run a LiveBucket™ Migration between backends with zero downtime, and watch reads and writes continue while objects move.",[44,54,55],{},"Set per-object routing, tiering, and replication policies, and trace every request through Synapse, OneBucket's observability layer.",[13,57,58],{},"You will leave with a working configuration mapped to your own environment and a clear view of what it would take to put it into production.",[23,60,62],{"id":61},"who-should-attend","Who Should Attend",[13,64,65],{},"CTOs, heads of data platform, storage architects, and AI engineering leads at organizations with data in more than one cloud or a mix of cloud and on-prem. Seats are limited to keep the session hands-on.",[23,67,69],{"id":68},"details","Details",[41,71,72,78,84],{},[44,73,74,77],{},[16,75,76],{},"When:"," October 6, 2026 · 2:00–4:00 PM EDT",[44,79,80,83],{},[16,81,82],{},"Where:"," Manhattan, New York, NY",[44,85,86,89,90],{},[16,87,88],{},"Register:"," ",[91,92,96],"a",{"href":93,"rel":94},"https:\u002F\u002Fwww.gomry.com\u002Fevent\u002FOneBucket-AI-data-lab-WFWi4MgpGQa5Z3Go1Yoo",[95],"nofollow","gomry.com\u002Fevent\u002FOneBucket-AI-data-lab",[13,98,99,100,105],{},"Questions about the event or interested in bringing a team? Reach us at ",[91,101,104],{"href":102,"rel":103},"https:\u002F\u002Fwww.onebucket.io",[95],"onebucket.io",".",[13,107,108],{},[109,110,111],"em",{},"Attimis Corporation is a Sunnyvale, California based enterprise software company and the creator of OneBucket™, an S3-compatible multi-cloud object storage gateway and control plane. OneBucket™ lets organizations tier, migrate, replicate, federate, and serve data across any backend from a single endpoint, making it available to applications and AI systems without lock-in or migration risk.",{"title":113,"searchDepth":114,"depth":114,"links":115},"",2,[116,117,118,119],{"id":25,"depth":114,"text":26},{"id":35,"depth":114,"text":36},{"id":61,"depth":114,"text":62},{"id":68,"depth":114,"text":69},"2026-09-23","AI reaches less than 10% of your data. On October 6 in New York, Attimis is hosting a hands-on lab on how to connect the rest, safely.","md","\u002Fnews\u002Fonebucket-ai-data-lab-new-york\u002Flead.png",{},true,"\u002Fnews\u002Fonebucket-ai-data-lab-new-york",{"title":6,"description":121},"news\u002Fonebucket-ai-data-lab-new-york","8jhFku4LRy28lVclXJPniwcHevQV4ot8Y11I0D8nzlQ",{"id":131,"title":132,"author":133,"authorPhoto":8,"body":134,"date":327,"description":328,"extension":122,"leadImage":329,"logoMark":8,"meta":330,"navigation":125,"path":331,"seo":332,"stem":333,"__hash__":334},"news\u002Fnews\u002Frun-ai-on-data-that-cant-move.md","How to Run AI on Data That Isn't Allowed to Move","Shayne Stubbs",{"type":10,"value":135,"toc":318},[136,139,142,145,148,151,162,177,181,189,192,196,204,207,211,217,220,224,227,238,241,245,248,256,260,263,266,270,273],[13,137,138],{},"The data that would make AI useful is almost always the data you can't move.",[13,140,141],{},"I've seen this play out enough times that I can predict the meeting. The AI team has a model, a budget, and a use case. The data team knows exactly which dataset would make it work. Then someone from risk points out that the dataset sits under a residency rule, or inside a security boundary, or at a scale where copying it costs more than the whole project. Everyone nods, and the project shrinks to whatever data happens to be convenient.",[13,143,144],{},"IDC's Data Age 2025 puts a number on it: less than 10% of enterprise data is reachable by AI today. That's not a model problem. Models are fine. It's an access problem.",[13,146,147],{},"The default fix is a copy. Pull the data into a lakehouse, a vector store, or a cloud region next to the GPUs. I understand why. It's the path of least resistance, and it works for a demo. But every copy you make brings three new problems with it: one more thing to secure, one more residency question to answer, and one more pipeline that breaks the next time your systems change. A year in, teams are spending more time maintaining copies than doing anything with them.",[13,149,150],{},"So before an AI project touches sensitive data, the risk team asks three questions. They're the right questions:",[41,152,153,156,159],{},[44,154,155],{},"Where does the data live?",[44,157,158],{},"How does AI reach it without copying it?",[44,160,161],{},"Who changed what, and can we undo it?",[13,163,164,165,170,171,176],{},"Together with ",[91,166,169],{"href":167,"rel":168},"https:\u002F\u002Flakefs.io",[95],"lakeFS"," and ",[91,172,175],{"href":173,"rel":174},"https:\u002F\u002Fwww.seagate.com\u002Fproducts\u002Fdata-storage-systems\u002F",[95],"Seagate",", we built and validated an architecture that gives each question its own layer. Here's how it fits together.",[23,178,180],{"id":179},"where-the-data-lives-seagate-exos","Where the Data Lives: Seagate Exos",[13,182,183,184,188],{},"The foundation is durable storage inside your boundary. ",[91,185,187],{"href":173,"rel":186},[95],"Seagate Exos"," holds petabytes on-premises, in the facility and jurisdiction your rules require. At the edge, Exos FUSE puts compute right next to storage, so data gets processed where it's created instead of shipped somewhere else first.",[13,190,191],{},"The data stays where the rules say it must. That sounds obvious, but it's the part most architectures quietly give up on.",[23,193,195],{"id":194},"how-ai-reaches-it-onebucket","How AI Reaches It: OneBucket™",[13,197,198,199,203],{},"This is the layer we built, so I'll be direct about what it does. ",[91,200,202],{"href":102,"rel":201},[95],"OneBucket"," presents one namespace across on-prem, cloud, and edge storage. Applications and agents make standard S3 or MCP calls. OneBucket figures out where each request should be served from, with caching near compute, so there's no copy to make and no migration to plan.",[13,205,206],{},"It runs where you need it: on-premises, in your VPC, or fully air-gapped. It's built on the Adaptive Data Fabric™, which keeps the data in place and lets policy decide how it's reached. The point is that your application code stops caring where the bytes physically sit.",[23,208,210],{"id":209},"who-changed-what-lakefs","Who Changed What: lakeFS",[13,212,213,216],{},[91,214,169],{"href":167,"rel":215},[95]," gives data the discipline code has had for decades. Teams branch a dataset, test changes in isolation, commit them atomically, and roll back instantly when something breaks. Write-Audit-Publish gates stop bad data before it ever reaches a model. Anyone who has debugged a model that was trained on a silently corrupted dataset knows why that matters.",[13,218,219],{},"lakeFS Enterprise adds lineage, role-based access, and an audit trail. The Summer 2026 release goes further, with object-level access control based on metadata and an audit trail stored as a queryable Iceberg table, so your compliance team can actually query it instead of grepping logs.",[23,221,223],{"id":222},"why-three-layers-not-one","Why Three Layers, Not One",[13,225,226],{},"I've watched vendors try to collapse all of this into a single product, and it never holds up. Each concern belongs to one layer:",[41,228,229,232,235],{},[44,230,231],{},"Seagate Exos owns where data sits.",[44,233,234],{},"OneBucket™ owns placement and access.",[44,236,237],{},"lakeFS owns what changed and who changed it.",[13,239,240],{},"The detail I'd underline: lakeFS reaches storage through OneBucket. So the same control plane works whether the bytes are on Exos in your data center or in AWS S3, Google Cloud Storage, or Azure. You can change where data lives, and your governance doesn't change with it. In my experience that's the thing that makes an architecture survive contact with a reorg or a cloud contract renegotiation.",[23,242,244],{"id":243},"proven-not-a-diagram","Proven, Not a Diagram",[13,246,247],{},"We didn't stop at a whiteboard. We ran it end to end. The proof of concept validated branching and zero-copy commits against OneBucket-backed storage: branch, commit, roll back, with the data never moving.",[13,249,250,251,105],{},"The sample is public and runs in Docker. Run it yourself: ",[91,252,255],{"href":253,"rel":254},"https:\u002F\u002Fgithub.com\u002Ftreeverse\u002FlakeFS-samples\u002Ftree\u002Fmain\u002F01_standalone_examples\u002Flakefs-onebucket",[95],"lakefs-onebucket in lakeFS-samples",[23,257,259],{"id":258},"why-this-matters-now","Why This Matters Now",[13,261,262],{},"Agents changed the math. A human analyst reads a dataset once and moves on. An agent reads continuously, at machine speed, across every source it can reach. That makes the copy-first pattern worse every month: more copies, more pipelines, more questions from security, and more surface area for something to go wrong.",[13,264,265],{},"The alternative is simple to say and, it turns out, practical to do. Leave the data where it is. Reach it through one access layer. Keep one record of what changed.",[23,267,269],{"id":268},"where-to-start","Where to Start",[13,271,272],{},"Pick one dataset your AI team wants and your risk team says can't move. That one. Then:",[274,275,276,287,298,309],"ol",{},[44,277,278,281,282,286],{},[16,279,280],{},"Run the sample."," The ",[91,283,285],{"href":253,"rel":284},[95],"lakeFS + OneBucket POC"," is end-to-end runnable in Docker. Point it at your dataset and watch branch, commit, and rollback happen without a single byte moving.",[44,288,289,89,292,297],{},[16,290,291],{},"Get a OneBucket account.",[91,293,296],{"href":294,"rel":295},"https:\u002F\u002Fapp.onebucket.io\u002Fsign-up",[95],"Request one here",". You'll get the S3 endpoint the sample expects.",[44,299,300,281,303,308],{},[16,301,302],{},"Read the full architecture.",[91,304,307],{"href":305,"rel":306},"https:\u002F\u002Flakefs.io\u002Fblog\u002Flakefs-onebucket-exos-solution\u002F",[95],"lakeFS write-up"," covers the validation in detail, including the interoperability notes you'll want before you start.",[44,310,311,314,315,105],{},[16,312,313],{},"Talk to us."," If you want help mapping this onto your environment, I'd rather spend an hour on a real dataset than a week on slides. Reach us at ",[91,316,104],{"href":102,"rel":317},[95],{"title":113,"searchDepth":114,"depth":114,"links":319},[320,321,322,323,324,325,326],{"id":179,"depth":114,"text":180},{"id":194,"depth":114,"text":195},{"id":209,"depth":114,"text":210},{"id":222,"depth":114,"text":223},{"id":243,"depth":114,"text":244},{"id":258,"depth":114,"text":259},{"id":268,"depth":114,"text":269},"2026-09-21","The data that would make AI useful is almost always the data you can't move. Here's a three-layer architecture with Seagate Exos, OneBucket™, and lakeFS that leaves it in place.","\u002Fnews\u002Frun-ai-on-data-that-cant-move\u002Flead.png",{},"\u002Fnews\u002Frun-ai-on-data-that-cant-move",{"title":132,"description":328},"news\u002Frun-ai-on-data-that-cant-move","DjbLwdIluI_eKGB6BQbM1gBk0YwUEr2DkB03WLdRP2Y",{"id":336,"title":337,"author":7,"authorPhoto":8,"body":338,"date":357,"description":358,"extension":122,"leadImage":359,"logoMark":8,"meta":360,"navigation":125,"path":361,"seo":362,"stem":363,"__hash__":364},"news\u002Fnews\u002Fattimis-seagate-collaboration.md","Attimis & Seagate Collaboration: A New Chapter in Data Mobility",{"type":10,"value":339,"toc":355},[340,343],[13,341,342],{},"We’re excited to announce our collaboration with Seagate Technology, integrating Attimis OneBucket™ with Seagate’s Lyve™ Cloud to deliver a seamless, high-performance data mobility fabric for the AI era. Together, we’re eliminating data gravity and giving enterprises instant access to elastic, globally distributed storage capacity, with no egress fees, no migration headaches, and no vendor lock-in.",[13,344,345,346,349,350,105],{},"This is what happens when stateless orchestration meets purpose-built cloud storage. Enterprises and NeoClouds can now move from contract to live workloads instantly, with predictable economics and built-in sovereignty. It’s the infrastructure shift the industry has been waiting for.",[347,348],"br",{},"\nRead the full press release ",[91,351,354],{"href":352,"rel":353},"https:\u002F\u002Fwww.attimis.co\u002Fpublic\u002Fpress-releases\u002F2026-03-26-Attimis-Seagate.pdf",[95],"here",{"title":113,"searchDepth":114,"depth":114,"links":356},[],"2026-03-10","We’re excited to announce our collaboration with Seagate Technology, integrating Attimis OneBucket™ with Seagate’s Lyve™ Cloud to deliver a seamless, high-performance data mobility fabric for the…","\u002Fnews\u002Fattimis-seagate-collaboration\u002Flead.jpeg",{},"\u002Fnews\u002Fattimis-seagate-collaboration",{"title":337,"description":358},"news\u002Fattimis-seagate-collaboration","n9vCzAWRRQbG_r_HknpMuFiIdzLwOLvclwAG4dDBw6s",{"id":366,"title":367,"author":368,"authorPhoto":8,"body":369,"date":357,"description":373,"extension":122,"leadImage":479,"logoMark":8,"meta":480,"navigation":125,"path":481,"seo":482,"stem":483,"__hash__":484},"news\u002Fnews\u002Fattimis-seagate-killing-data-gravity.md","Attimis + Seagate: Killing Data Gravity for the AI Era","Damian Kowalewski",{"type":10,"value":370,"toc":473},[371,374,377,380,384,393,396,399,403,406,409,412,418,424,430,436,440,443,446,449,453,456,459],[13,372,373],{},"Data gravity is the silent killer of AI ambition.",[13,375,376],{},"You’ve got the models. You’ve got the compute. But your data is pinned to a rack in a specific datacenter, and moving it takes months, costs a fortune, and breaks things. Every enterprise scaling AI, ML, or analytics eventually hits this wall. Most just live with it.",[13,378,379],{},"We decided to fix it.",[23,381,383],{"id":382},"the-collaboration","The Collaboration",[13,385,386,387,392],{},"Today, ",[91,388,391],{"href":389,"rel":390},"https:\u002F\u002Fdrive.google.com\u002Fuc?export=download&id=1w8IwAfvKHzUTuiO8fUti42UuAqm1nnGz",[95],"we’re announcing our integration with Seagate’s Lyve™ Cloud",", a purpose-built, S3-compatible object storage platform designed for mass-scale data with no egress or API fees.",[13,394,395],{},"Combined with Attimis OneBucket™, this creates something the industry hasn’t had before: a seamless data mobility fabric that spans on-prem, edge, and multi-cloud environments through a single, unified namespace.",[13,397,398],{},"No migrations. No re-architecture. No vendor lock-in.",[23,400,402],{"id":401},"why-thismatters","Why This Matters",[13,404,405],{},"The traditional infrastructure playbook says: put your compute next to your storage. That worked when data was measured in terabytes and lived in one place. It doesn’t work when you’re running AI pipelines across globally distributed datasets at petabyte scale.",[13,407,408],{},"The Attimis + Seagate integration breaks this model. OneBucket acts as the intelligent orchestration engine — a stateless proxy that makes data location irrelevant. Seagate Lyve Cloud provides elastic, globally distributed capacity. Together, they eliminate the “migration and capacity wall” that stalls large-scale AI and analytics deployments.",[13,410,411],{},"Here’s what that looks like in practice:",[13,413,414,417],{},[16,415,416],{},"From contract to revenue, fast."," Traditional data onboarding takes weeks of migration planning. With OneBucket orchestrating across Lyve Cloud, organizations move from signed contracts to live workloads almost instantly.",[13,419,420,423],{},[16,421,422],{},"Precision data movement."," AI pipelines don’t need all your data — they need the right data, at the right time, in the right place. This integration enables surgical data placement, resulting in lower latency, lower cost, and dramatically improved operational efficiency.",[13,425,426,429],{},[16,427,428],{},"Predictable economics."," Lyve Cloud’s no-egress-fee model, combined with OneBucket’s intelligent tiering, eliminates the cost surprises that keep CFOs up at night. Global data movement becomes financially viable, not a budget crisis.",[13,431,432,435],{},[16,433,434],{},"Sovereignty built in."," End-to-end encryption and policy-driven placement mean compliance isn’t an afterthought. Data stays where regulations say it should, automatically.",[23,437,439],{"id":438},"the-biggerpicture","The Bigger Picture",[13,441,442],{},"This isn’t just a technology partnership. It’s a fundamental shift in how enterprises and NeoClouds think about storage infrastructure.",[13,444,445],{},"The old model was CapEx-heavy, rigid, and siloed. You bought storage, bolted it to compute, and prayed your capacity planning was right. When it wasn’t — and it never was — you either over-provisioned (waste) or hit a wall (downtime).",[13,447,448],{},"The new model is OpEx-flexible, edge-ready, and elastic. Data flows where it’s needed. Capacity scales on demand. And the infrastructure layer disappears — which is exactly what it should do.",[23,450,452],{"id":451},"whats-next","What’s Next",[13,454,455],{},"We’re already seeing demand from enterprises and NeoClouds that need to scale AI workloads without re-architecting their entire storage stack. The Attimis + Seagate integration gives them a path to do that — starting today.",[13,457,458],{},"If your data infrastructure is holding you hostage, it’s time to break free.",[13,460,461,89,464,471],{},[109,462,463],{},"Attimis provides OneBucket™ and its Adaptive Data Fabric™ to unify siloed data sources into a single, logical namespace. Designed for hyperscale unstructured data, Attimis enables instant, local-speed access to data across hybrid cloud environments without re-architecting workflows. Learn more at",[91,465,468],{"href":466,"rel":467},"https:\u002F\u002Fwww.attimis.co",[95],[109,469,470],{},"attimis.co",[109,472,105],{},{"title":113,"searchDepth":114,"depth":114,"links":474},[475,476,477,478],{"id":382,"depth":114,"text":383},{"id":401,"depth":114,"text":402},{"id":438,"depth":114,"text":439},{"id":451,"depth":114,"text":452},"\u002Fnews\u002Fattimis-seagate-killing-data-gravity\u002Flead.jpeg",{},"\u002Fnews\u002Fattimis-seagate-killing-data-gravity",{"title":367,"description":373},"news\u002Fattimis-seagate-killing-data-gravity","Jau2TTsk6C-pCb3_-qdAchxuRS5fcKVd60TKwgzZ7Gc",{"id":486,"title":487,"author":7,"authorPhoto":8,"body":488,"date":545,"description":546,"extension":122,"leadImage":547,"logoMark":8,"meta":548,"navigation":125,"path":549,"seo":550,"stem":551,"__hash__":552},"news\u002Fnews\u002Fattimis-leading-company-to-watch.md","Attimis Named a Leading Company to Watch",{"type":10,"value":489,"toc":541},[490,496,507,510,514,517,520,523,527,530,533],[13,491,492,493,105],{},"We’re excited to share that Attimis has been featured in Futuriom’s March 2026 Cloud Market Trend Report: ",[109,494,495],{},"Data Management in the Age of AI",[13,497,498,499,502,503,506],{},"The report covers the full landscape of how enterprises are managing data for AI , and Attimis is highlighted in the ",[16,500,501],{},"Data Management Platforms"," section and named a ",[16,504,505],{},"Leading Company to Watch"," alongside names like Databricks, Snowflake, VAST Data, and DDN.",[13,508,509],{},"This is a big moment for us.",[23,511,513],{"id":512},"validation-thatmatters","Validation That Matters",[13,515,516],{},"We’ve been building OneBucket™ around a simple thesis: enterprises need unified data access across fragmented storage without lock-in, without migrations, without proprietary formats. Seeing an independent analyst report arrive at the same conclusion is incredibly encouraging.",[13,518,519],{},"Futuriom’s central finding? No single product solves AI data management. The winners will be the ones who unify access without adding complexity.",[13,521,522],{},"That’s OneBucket™.",[23,524,526],{"id":525},"just-gettingstarted","Just Getting Started",[13,528,529],{},"Being recognized in a report like this, alongside some of the biggest names in data infrastructure, confirms we’re on the right track. But we’re far from done.",[13,531,532],{},"The AI data problem is only getting bigger. And we’re building the layer that makes it manageable for enterprises and NeoClouds as they scale their AI.",[13,534,535,536,105],{},"Thanks to the Futuriom team for the thorough work, and to our fellow sponsors F5 and Vultr. The full report is free to download ",[91,537,354],{"href":538,"rel":539,"target":540},"https:\u002F\u002Fcontent.attimis.co\u002Freports\u002F2026-03-futuriom-data-management-in-the-age-of-ai.pdf",[95],"_blank",{"title":113,"searchDepth":114,"depth":114,"links":542},[543,544],{"id":512,"depth":114,"text":513},{"id":525,"depth":114,"text":526},"2026-03-05","We’re excited to share that Attimis has been featured in Futuriom’s March 2026 Cloud Market Trend Report: Data Management in the Age of AI .","\u002Fnews\u002Fattimis-leading-company-to-watch\u002Flead.png",{},"\u002Fnews\u002Fattimis-leading-company-to-watch",{"title":487,"description":546},"news\u002Fattimis-leading-company-to-watch","L89pe0Efro06Fg7koNcfUzrfoPCVJJidPaGL7JSp0PU",{"id":554,"title":555,"author":133,"authorPhoto":8,"body":556,"date":696,"description":697,"extension":122,"leadImage":698,"logoMark":8,"meta":699,"navigation":125,"path":700,"seo":701,"stem":702,"__hash__":703},"news\u002Fnews\u002Fattimis-aquila-clouds-partner.md","Attimis and Aquila Clouds Partner to Uncover Hidden Costs of Hybrid Data and Solve the Pain",{"type":10,"value":557,"toc":691},[558,561,568,575,579,586,593,597,608,628,635,638,642,648,651,665,675,677],[13,559,560],{},"Hybrid cloud has become one of the most expensive IT decisions enterprises never intended to make. As compute and data spread across public clouds, Neo Clouds, private data centers, and the edge, most organizations have gained some flexibility but lost control. Data is fragmented across environments, duplicated, often up to five times, and rarely located where it’s needed most. Operations teams struggle with limited visibility, while costs continue to climb.",[13,562,563,564,567],{},"The result is a growing and often invisible tax: ",[16,565,566],{},"ballooning storage spend, unpredictable cloud egress fees, and escalating operational complexity","—all with little improvement in performance or business outcomes.",[13,569,570,571,574],{},"This lack of insight is exactly why ",[16,572,573],{},"Attimis is partnering with Aquila Clouds",", a leading FinOps platform, to help enterprises understand where their money is really going and eliminate unnecessary spend. Aquila Clouds delivers real-time observability and governance across multi- and hybrid cloud environments, including budget controls, precise cost allocation to cost centers, intelligent infrastructure and workload cost optimization, and proactive commitment management.",[23,576,578],{"id":577},"from-cost-visibility-to-cost-elimination","From Cost Visibility to Cost Elimination",[13,580,581,582,585],{},"Aquila Clouds provides deep visibility into enterprise cloud and infrastructure spend, revealing where costs are incurred and where inefficiencies exist. Attimis complements this insight with ",[16,583,584],{},"OneBucket™",", which removes data duplication by providing secure, high-performance access to data anywhere without migrations or replication.",[13,587,588,589,592],{},"Together, Attimis and Aquila Clouds help enterprises move beyond reporting and dashboards to ",[16,590,591],{},"structural cost optimization"," by fixing the problems at the source.",[23,594,596],{"id":595},"data-driven-optimization-not-assumptions","Data-Driven Optimization, Not Assumptions",[13,598,599,600,603,604,607],{},"These outcomes aren’t theoretical—they’re repeatable. But they start with ",[16,601,602],{},"real, company-specific data",", not assumptions or generic benchmarks. This is exactly why we have partnered with ",[16,605,606],{},"Aquila Clouds",". By combining Aquila Clouds’ financial insights with Attimis’s orchestration muscle, we provide:",[274,609,610,616,622],{},[44,611,612,615],{},[16,613,614],{},"Deep Insights:"," A granular look at exactly where your IT spend is leaking.",[44,617,618,621],{},[16,619,620],{},"Optimization:"," Eliminate siloed and duplicated data with data mobility.",[44,623,624,627],{},[16,625,626],{},"Measurable Outcomes:"," High-performance local access to data anywhere, without the cloud tax.",[13,629,630,631,634],{},"\"Visibility without action is just an expensive bill,\" says ",[16,632,633],{},"Damian Kowalewski, CEO of Attimis",". \"By partnering with Aquila Clouds, we are giving customers the 'Brain' to see the waste and the 'Muscle' to fix it.\"",[13,636,637],{},"A FinOps assessment quickly exposes where hybrid data is silently inflating your cloud bill—and what can be fixed immediately.",[23,639,641],{"id":640},"real-world-examples","Real-World Examples",[13,643,644,647],{},[16,645,646],{},"AI Inference Company"," For a fast-growing AI inference company, time to market was critical. Development teams operated out of Seattle, Palo Alto, and Washington, DC, while AI training ran on a Neo Cloud and software builds were stored in AWS. Centralized builds slowed developer productivity, AWS egress costs climbed into the thousands, and GPUs sat idle nearly 30% of the time waiting for data.",[13,649,650],{},"With Attimis OneBucket™:",[41,652,653,656,659,662],{},[44,654,655],{},"Time to market was accelerated by months",[44,657,658],{},"Engineer productivity increased with access to local, “hot” data",[44,660,661],{},"GPU utilization improved by 30%",[44,663,664],{},"AWS egress fees eliminated",[13,666,667,670,671,674],{},[16,668,669],{},"Online Travel Company"," A large online travel company stored hundreds of petabytes of customer data in AWS, while AI and GPU infrastructure was deployed in a private data center to meet compliance and security requirements. As AI experimentation increased, AWS egress costs skyrocketed to ",[16,672,673],{},"$250K per month",", and training performance suffered due to network latency. When the storage team attempted to intervene, they lacked visibility into which data was being accessed, how often, and at what cost.",[13,676,650],{},[41,678,679,682,688],{},[44,680,681],{},"Full visibility and control over data usage",[44,683,684,685],{},"AWS egress costs were reduced from ",[16,686,687],{},"$250K per month to $5K per month",[44,689,690],{},"AI training performance improved significantly",{"title":113,"searchDepth":114,"depth":114,"links":692},[693,694,695],{"id":577,"depth":114,"text":578},{"id":595,"depth":114,"text":596},{"id":640,"depth":114,"text":641},"2026-02-09","Hybrid cloud has become one of the most expensive IT decisions enterprises never intended to make. As compute and data spread across public clouds, Neo Clouds, private data centers, and the edge,…","\u002Fnews\u002Fattimis-aquila-clouds-partner\u002Flead.png",{},"\u002Fnews\u002Fattimis-aquila-clouds-partner",{"title":555,"description":697},"news\u002Fattimis-aquila-clouds-partner","kQ9pRDBNtQ6YGAq5ug8HUPOGavUDtztYP7lN8EioVh8",{"id":705,"title":706,"author":707,"authorPhoto":8,"body":708,"date":696,"description":819,"extension":122,"leadImage":820,"logoMark":8,"meta":821,"navigation":125,"path":822,"seo":823,"stem":824,"__hash__":825},"news\u002Fnews\u002Fdata-therapy-layer.md","Healing Data Access Headaches With Attimis OneBucket™: Your Data Therapy Layer","Hanna Mehraby",{"type":10,"value":709,"toc":814},[710,713,719,723,726,737,741,744,760,766,770,773,776,802,807],[13,711,712],{},"You have data, and you want to use it to generate insights, make decisions, and drive outcomes. But too often, accessing that data across multiple data sources slows you down. Queries fail, pipelines break, and you spend more time and money managing infrastructure rather than actually analyzing data.",[13,714,715,716],{},"Attimis OneBucket changes that. Think of it as therapy for your data: calm, reliable, and always ready when you need it. One unified namespace, one S3-compatible endpoint, and all your data accessible without extra configuration. ",[16,717,718],{},"With Attimis OneBucket, your data finally gets the therapy it deserves",[23,720,722],{"id":721},"the-problem","The Problem",[13,724,725],{},"On most analytics platforms, accessing multiple data sources is unnecessarily complicated:",[41,727,728,731,734],{},[44,729,730],{},"Every storage system comes with its own endpoint, credentials, and configuration.",[44,732,733],{},"Queries and pipelines break when endpoints change or credentials aren’t synced.",[44,735,736],{},"Teams spend hours debugging “errors” that aren’t even real problems.",[23,738,740],{"id":739},"see-our-solution-in-action-on-databricks","See Our Solution in Action on Databricks",[13,742,743],{},"We’ve tested Attimis OneBucket in Databricks and saw firsthand how much friction multiple S3-compatible storage endpoints create. With Attimis OneBucket, all of that disappears. Once you configure the single endpoint at the cluster level, every notebook and job can access all datasets, no matter where they live, without extra credentials or reconfiguration.",[13,745,746,747,89,750,89,757],{},"Unity Catalog governs what you can access from the cloud, but it doesn’t solve how Databricks can connect to S3-compatible systems. ",[16,748,749],{},"This is where Attimis OneBucket fits naturally and you can see what a typical setup looks like on our",[91,751,754],{"href":752,"rel":753},"https:\u002F\u002Fattimis.co\u002Fsolutions",[95],[16,755,756],{},"Solutions",[16,758,759],{},"page!",[13,761,762,765],{},[16,763,764],{},"Attimis OneBucket is your data therapy layer."," It unifies access across all your storage systems through a single S3-compatible endpoint: s3.attimis.cloud. From Databricks, Snowflake, or any other platform, you can read, write, join, or transform datasets exactly as expected, without worrying about where the data physically lives. All the complexity stays behind the scenes so your team can focus on insights and not infrastructure.",[23,767,769],{"id":768},"benefit-from-theoutcomes","Benefit From the Outcomes",[13,771,772],{},"At the end of the day, working with data shouldn’t be a headache. It should be simple, reliable, and performant, no matter where your data lives or which platform you’re using.",[13,774,775],{},"Attimis OneBucket changes the game with:",[41,777,778,784,790,796],{},[44,779,780,783],{},[16,781,782],{},"Unified Data Access:"," One endpoint, one configuration, one namespace. Add new data sources behind the scenes with zero reconfiguration.",[44,785,786,789],{},[16,787,788],{},"Simpler Multi-Source Queries:"," Run queries across any dataset, anywhere, without juggling credentials or endpoints.",[44,791,792,795],{},[16,793,794],{},"Avoiding Silent Failures:"," Jobs never hang due to misconfigured endpoints; OneBucket handles backend routing automatically.",[44,797,798,801],{},[16,799,800],{},"Faster Performance:"," Single S3 endpoint reduces connection overhead, delivering faster and more consistent query execution.",[13,803,804],{},[16,805,806],{},"Ready to give your data a little therapy? Book a free demo today!",[13,808,809],{},[91,810,813],{"href":811,"rel":812},"https:\u002F\u002Fattimis.co\u002Fdemo\u002F",[95],"[Request OneBucket Access Today]",{"title":113,"searchDepth":114,"depth":114,"links":815},[816,817,818],{"id":721,"depth":114,"text":722},{"id":739,"depth":114,"text":740},{"id":768,"depth":114,"text":769},"You have data, and you want to use it to generate insights, make decisions, and drive outcomes. But too often, accessing that data across multiple data sources slows you down. Queries fail,…","\u002Fnews\u002Fdata-therapy-layer\u002Flead.png",{},"\u002Fnews\u002Fdata-therapy-layer",{"title":706,"description":819},"news\u002Fdata-therapy-layer","ufrc6Wx_K8FrybiNJFS-U6qGVHFKPjK_W68mkl2QzOk",{"id":827,"title":828,"author":368,"authorPhoto":8,"body":829,"date":696,"description":836,"extension":122,"leadImage":937,"logoMark":8,"meta":938,"navigation":125,"path":939,"seo":940,"stem":941,"__hash__":942},"news\u002Fnews\u002Fonebucket-quickstart-first-policy.md","OneBucket™ Quickstart: From Account to First Working Policy",{"type":10,"value":830,"toc":931},[831,834,837,840,847,851,854,871,875,878,881,892,895,899,902,916,919,923,928],[13,832,833],{},"by Damian Kowalewski",[13,835,836],{},"Most teams do not struggle because they lack storage. They struggle because onboarding and control are messy.",[13,838,839],{},"Credentials get copied around. Endpoints multiply. Config becomes tribal knowledge. Then the first evaluation stalls before anyone sees real value.",[13,841,842,843,105],{},"So we made a short video that stays practical and gets you up and running fast ",[91,844,845],{"href":845,"rel":846},"https:\u002F\u002Fyoutu.be\u002FAocfeAiL-gQ?si=dcNd2oMKx6SoUn5G",[95],[23,848,850],{"id":849},"what-this-videoshows","What this video shows",[13,852,853],{},"In a few minutes, you will see how to:",[41,855,856,859,862,865,868],{},[44,857,858],{},"Create a OneBucket™ account",[44,860,861],{},"Log in to the console",[44,863,864],{},"Create your first access key",[44,866,867],{},"Confirm your endpoint",[44,869,870],{},"Create and apply your first working OneBucket™ policy",[23,872,874],{"id":873},"why-do-we-start-withpolicy","Why do we start with policy",[13,876,877],{},"A unified S3-compatible endpoint is useful. Policy is where OneBucket™ becomes a control layer.",[13,879,880],{},"Policy is how you move from:",[41,882,883,886,889],{},[44,884,885],{},"one-off setup to repeatable environments",[44,887,888],{},"manual tuning to consistent behavior",[44,890,891],{},"unclear ownership to clear control and visibility",[13,893,894],{},"Your first working policy is the moment OneBucket™ stops being a concept and becomes something you can validate end-to-end.",[23,896,898],{"id":897},"what-to-do-after-the-quickstart","What to do after the quickstart",[13,900,901],{},"Once you have it running, the next step is to try it where friction is highest:",[41,903,904,907,910,913],{},[44,905,906],{},"Dev\u002FTest that keeps drifting",[44,908,909],{},"workflows that duplicate the same data across locations",[44,911,912],{},"pipelines that slow down because data is not where the compute is",[44,914,915],{},"teams that need stronger visibility, auditability, and control",[13,917,918],{},"If you tell us your environment, we can point you to a starter policy pattern that fits.",[23,920,922],{"id":921},"watch-the-walkthrough","Watch the walkthrough",[13,924,925],{},[91,926,845],{"href":845,"rel":927},[95],[13,929,930],{},"If you want the next video to be more hands-on, reply with what you want to see: caching patterns, replication, governance controls, or a concrete workflow (Databricks, Kubernetes, Snowflake).",{"title":113,"searchDepth":114,"depth":114,"links":932},[933,934,935,936],{"id":849,"depth":114,"text":850},{"id":873,"depth":114,"text":874},{"id":897,"depth":114,"text":898},{"id":921,"depth":114,"text":922},"\u002Fnews\u002Fonebucket-quickstart-first-policy\u002Flead.png",{},"\u002Fnews\u002Fonebucket-quickstart-first-policy",{"title":828,"description":836},"news\u002Fonebucket-quickstart-first-policy","Znv33kPEPmFPFT2f0sFKH_5lvBegeqdvyqMs58vU-sY",{"id":944,"title":945,"author":133,"authorPhoto":8,"body":946,"date":1092,"description":952,"extension":122,"leadImage":1093,"logoMark":8,"meta":1094,"navigation":125,"path":1095,"seo":1096,"stem":1097,"__hash__":1098},"news\u002Fnews\u002Fscaling-past-cpu-memory-constraints.md","Scaling Past the CPU and Memory Constraints with OneBucket™",{"type":10,"value":947,"toc":1085},[948,953,960,965,968,974,978,981,986,990,993,1019,1023,1029,1055,1060,1063,1075],[13,949,950],{},[16,951,952],{},"OneBucket for Dev\u002FTest and the first two months are Free!",[13,954,955,956,959],{},"Attimis OneBucket now offers ",[16,957,958],{},"Dev\u002FTest solutions"," designed to make your infrastructure feel local, even when your data is thousands of miles away. We bridge the gap between data and compute, letting you test across multiple sources without the crushing weight of egress costs.",[961,962,964],"h3",{"id":963},"the-great-resourcewall","The Great Resource Wall",[13,966,967],{},"Headlines today are extreme. On one hand, we see Nvidia’s performance exploding at 10x per generation. On the other hand, we are hitting a resource wall.",[13,969,970,971],{},"In a world where specialized hardware is scarce, the giants are cornering the supply chain. When players like OpenAI secure massive portions of the world’s DRAM wafers for “Stargate” infrastructure, the “trickle-down” effect for the rest of us isn’t faster tech — it’s ",[16,972,973],{},"rising costs and limited access.",[961,975,977],{"id":976},"from-new-york-to-the-globalgrid","From New York to the Global Grid",[13,979,980],{},"I live in New York. It’s expensive here, but this isn’t just an NYC story — it’s a global challenge. Whether you’re in Manhattan, London, or Tokyo, we are all milking the same shrinking pool of resources. As the “digital rent” for compute and memory rises, the barrier to entry for a meaningful Dev\u002FTest environment grows higher.",[13,982,983],{},[16,984,985],{},"The challenge for a developer isn’t just the price of a compute and memory; it’s the proximity of data sources.",[961,987,989],{"id":988},"the-developers-dilemma-data-silos-gravity-and-complexity","The Developer’s Dilemma: Data Silos, Gravity and Complexity",[13,991,992],{},"In the real world, your compute is rarely sitting right next to your data. This creates four major hurdles:",[41,994,995,1001,1007,1013],{},[44,996,997,1000],{},[16,998,999],{},"Siloed Environments:"," Data lives across DCs, multiple clouds, and the edge.",[44,1002,1003,1006],{},[16,1004,1005],{},"Multi-Source Data:"," Connectivity, switching and aggregating data sources is horribly painful and delays engineering results.",[44,1008,1009,1012],{},[16,1010,1011],{},"Cloud Egress “Tax”:"," Moving data out of the cloud for testing is notoriously expensive.",[44,1014,1015,1018],{},[16,1016,1017],{},"Infrastructure Bloat:"," Duplicating data across regions kills IT budgets.",[961,1020,1022],{"id":1021},"introducing-onebucket-fordevtest","Introducing OneBucket™ for Dev\u002FTest",[13,1024,1025,1028],{},[16,1026,1027],{},"OneBucket reduces costs and eliminates complexity."," We’ve built an “Adaptive Data Fabric” that lets you innovate without the “Stargate” budget.",[41,1030,1031,1037,1043,1049],{},[44,1032,1033,1036],{},[16,1034,1035],{},"Regional Accessibility:"," Dedicated instances on both the East and West Coast for a high-performance landing zone.",[44,1038,1039,1042],{},[16,1040,1041],{},"Simple Unified Access:"," Connect multiple data sources (Snowflake, Databricks, S3) and access them in parallel via one simple endpoint.",[44,1044,1045,1048],{},[16,1046,1047],{},"Local S3 Caching:"," We bring the data to you once, cache it intelligently, and eliminate recurring egress fees.",[44,1050,1051,1054],{},[16,1052,1053],{},"No Re-architecting:"," Keep your data where it lives. OneBucket presents a unified namespace so you can test on prod-sized datasets without the migration headache.",[13,1056,1057],{},[16,1058,1059],{},"Get Started: OneBucket for Dev\u002FTest as-a-Service",[13,1061,1062],{},"Innovation shouldn’t be reserved for companies with a ‘Stargate’ budget. We’re tearing down the resource wall so you can build, test, and scale today.",[13,1064,1065],{},[91,1066,1069],{"href":1067,"rel":1068},"https:\u002F\u002Fattimis.co\u002Fdemo",[95],[16,1070,1071],{},[1072,1073,1074],"span",{},"Request OneBucket Access Today",[13,1076,1077,89,1082],{},[109,1078,1079],{},[16,1080,1081],{},"Your first 2 months are on us.",[109,1083,1084],{},"No commitments, no migration headaches — just seamless data access. Cancel anytime or transition to a plan that fits your scale and budget.",{"title":113,"searchDepth":114,"depth":114,"links":1086},[1087,1089,1090,1091],{"id":963,"depth":1088,"text":964},3,{"id":976,"depth":1088,"text":977},{"id":988,"depth":1088,"text":989},{"id":1021,"depth":1088,"text":1022},"2026-01-09","\u002Fnews\u002Fscaling-past-cpu-memory-constraints\u002Flead.png",{},"\u002Fnews\u002Fscaling-past-cpu-memory-constraints",{"title":945,"description":952},"news\u002Fscaling-past-cpu-memory-constraints","esNIQQwzeNR3NiPSlN-igkr4Z3Pj84g6OE9IFgFGZXg",1790192705816]