Hammerspace

#TeamHammerspace is killing it at Bio-IT World 2026! We have been having an awesome time connecting with everyone at this year's show and sharing Hammerspace solutions. Don't miss Adam Marko in his featured presentation, "From Cloud to Data-First: Building an AI Ready Data Factory for Life Sciences," alongside Dia Ali, TOMORROW, June 21st at 1:20pm. Swing by booth #203 and say hello to our team! There's still time to book a meeting with us and get a closer look at what Hammerspace can do: https://okt.to/qcSIrh Hitachi Vantara Mike Taylor Brian Woznik James Priest

Cloud Bursting vs. Extending to the Cloud - What's The Difference? Dan Reger, Sr. Director of Product Marketing at Hammerspace, explores these two approaches and the different goals and demands they serve in his recent blog, "Hybrid Cloud Starts with Data, Not Compute." Dan details why a powerful data platform that optimizes data access across both cloud and on-premises environments is not just useful, it’s essential for success. A unified data platform truly excels with an extend-to-cloud strategy. Learn more: https://okt.to/d1s8yg

What makes AI readiness harder for life sciences? Adam Marko, Life Sciences Field CTO at Hammerspace, joins Trends from the Trenches with host Jessica StLouis to unpack the problem almost every biotech, pharma, and biomedical research group runs into: unstructured data that is siloed, fragmented, and scattered across storage systems, sites, and clouds. Plus, catch a preview of Marko’s presentation at Bio-IT World Conference & Expo in Boston. Listen and weigh in with your thoughts on what’s blocking life sciences: https://okt.to/sgvXO1 #LifeSciences #Hammerspace

From Pilot to Production. Accelerate Industrialized AI with Hammerspace AIDP. As Indian enterprises scale AI from pilot to production, data fragmentation across edge, on-prem, and cloud remains the primary hurdle. Deepak Varma , Regional Director of India, will be presenting his featured session, "Industrializing AI in India: A Unified Data Platform for Sovereign, Hybrid, GPU-Ready AI," at Gartner IOCS on June 2nd at 11:45am. This session explores how @Hammerspace's AI Data Platform (AIDP) unifies disparate data in place to fuel GPU resources without silos or lock-in. Learn to build sovereign, hybrid architectures that respect residency and governance while automating data orchestration to accelerate industrialized AI. This session is a can't-miss! Mark your calendars - we'll see you there! https://okt.to/og8ZPU

Accelerating The Era of Industrialized AI in India! #TeamHammerspace brought our AI Anywhere solutions to India for some awesome roadshow sessions in Mumbai and Bengaluru. This event explored solving the "Data Gravity" challenge and equipping our partners with the high-performance orchestration tools needed to build a Global Data Environment that powers AI workloads—wherever the compute lives. Thank you to our co-sponsors Savex Technologies Pvt. Ltd, Secuvy AI, and Hitachi Vantara for helping us to put on such great events! We can't wait for more! Gregg Machon Deepak Varma Miguel Castro Sunil Kumar Vajanapalli Prashant Sharma Matthew Hardman @Amit deshmukh Darsshan Somaiya Alina Alex Fonseca

Reinventing the Data Platform for AI Anywhere with Hammerspace. With the continuous rise of AI comes a multitude of fundamental changes that add complexity to the journey of achieving AI-readiness for many organizations. Floyd Christofferson explores these complexities in his recent blog, and shares how Hammerspace was purpose-built to enable AI anywhere. AI isn’t a storage problem—it’s an operational data problem. Here’s how to solve it.

@[Bio-IT World](urn:li:organization:67248) 2026 is here! Catch {hashtag|\#|TeamHammerspace} in booth \#203 learn how to accelerate research and discovery with a High-Performance Data Platform built for scalable research workflows. Don't miss the featured session ,"From Cloud-First to Data-First: Building an AI-Ready Data Factory for Life Sciences," with @[Adam Marko](urn:li:person:JYrublYDki) & @[Hitachi Vantara](urn:li:organization:11257500)'s @[Dia Ali](urn:li:person:PD0EVFgwn3). You’ll learn practical ways to keep research pipelines and AI training moving across HPC, on-prem, and cloud environments. Check it out on Thursday, May 21st at 1:20pm! See you there! https://lnkd.in/dGvmfwKY

"In the age of AI-driven science, success belongs to those who can turn data chaos into discovery." On the cusp of Bio-IT World 2026 in Boston, @[Adam Marko](urn:li:person:JYrublYDki), Life Sciences Field CTO at @[Hammerspace](urn:li:organization:18568362), shared his new blog "From Data Chaos to Discovery: Building the Data Foundation for AI-Ready Scientific Research," with the @[Bio-IT World](urn:li:organization:67248) team. Adam dives into the importance of life sciences organizations embracing a unified, AI-ready data architecture that can fully utilize their data as the scale and speed grows with modern discovery demands. Be sure to catch Adam's featured session at Bio-IT World & book a time to meet with our team! https://lnkd.in/dzJiCWsR

What Practical Moves Should You Prioritize To Make Existing Infrastructure AI-Ready? Molly Presley chatted with BetaNews, Inc. to break down her five practical moves for organizations to focus on to achieve AI-readiness with their infrastructure. "AI-readiness isn’t buying more storage -- it’s removing the boundaries that make your existing storage unusable for AI at scale." Explore Molly's moves to learn more: https://lnkd.in/gaqFxcq7

AI Infrastructure Has a Data Problem AI is pushing organizations to rethink how data, compute, software, and infrastructure work together. In this episode of Data Unchained, Hammerspace’s Molly Presley speaks with Michael Heroux, Senior Research Scientist at ParaTools, Inc. and Scientist in Residence at St. John's University, about what decades of high performance computing can teach today’s AI leaders. The conversation explores open source scientific software, the Exascale Computing Project, AI for science, world models, national lab and industry collaboration, and the infrastructure needed to make advanced computing useful in the real world. For enterprises building AI strategies, the lesson is clear: models alone are not enough. Real progress depends on giving teams access to the right data, across the right systems, at the right time, with the software and infrastructure needed to turn compute into capability. Be sure to check out this episode of Data Unchained and more on all your favorite podcast platforms! YouTube - https://lnkd.in/e35qEFA5 Apple Podcasts - https://apple.co/3yTKqxe Spotify - https://spoti.fi/3s9IVHs Amazon Music - https://amzn.to/3VAyIkZ #Hammerspace #DataUnchained #AIInfrastructure #DataInfrastructure #HighPerformanceComputing #HPC #Supercomputing #ExascaleComputing #OpenSourceSoftware #ScientificComputing #AIForScience #WorldModels #EnterpriseAI #DataEngineering