VAST Data

Speaking at Fal.Con tomorrow. **AI-Ready Security: Scaling Your Infrastructure with VAST & CrowdStrike** Wed Sept 2 · 11:30 AM · Breakers B Legacy storage is a security black box. Legacy platforms weren’t built for live inference, RAG, or reasoning at scale. AI streams leak before scanners catch them. VAST + Falcon: native sensor on the data platform, zero-downtime patching, InsightEngine + AIDR blocking threats in-stream in seconds. One foundation instead of storage silos. If you’re here, come by.

VAST AI Operating System delivers native CrowdStrike Falcon support, integrating protection across AI infrastructure, enterprise data access and AI pipelines with VAST InsightEngine. The integrations will also be demonstrated within an NVIDIA-powered AI factory, showing how CrowdStrike protection can be integrated with a VAST-powered data pipeline supporting accelerated AI workloads 🚀

Some of the most valuable lessons in computing never make it into the success stories. Just a heads up to stay tuned for this week's episode of the Shared Everything podcast which airs Wednesday at 9 am Eastern as HPC and AI veteran Glenn K. Lockwood Lockwood draws on firsthand experience across scientific computing, national labs and hyperscale AI (NERSC, SDSC and Microsoft on its Fairwater supercomputer) to revisit ambitious systems that broke new ground, while revealing the technologies, assumptions and architectural bets within them that didn’t work quite as expected. From attempts to make distributed computing complexity disappear, to a high-performance storage technology users largely chose not to use, to enormous AI infrastructure bets overtaken by changes in how frontier models are built, these are remarkably candid stories from inside consequential computing projects. The failures expose lessons about complexity, adoption, general-purpose versus specialized technology, and what happens when workloads evolve faster than infrastructure can. Subscribe here to stay in the know... https://lnkd.in/en3JtTEY

AI didn't just demand more datacenter capacity, it forced the entire ecosystem to reengineer the stack around power, cooling, and density. Watch a snippet from the latest Shared Everything episode with VAST Data CEO Renen Hallak and industry leaders on the future of AI infrastructure.

Build production-ready video AI agents in a single day. Join VAST Data, CoreWeave, Cursor, NVIDIA, and Weights & Biases in SF, NYC, or London. Pre-configured stack provided, zero infra setup required. Read Ram B.'s blog and apply now to reserve your spot 👇

Watch David O'Dell showcase the VAST AI OS 5.5 in action. The latest platform release delivers higher throughput, streamlined data pipelines, and enhanced acceleration for enterprise AI workloads.

For decades, datacenters followed a familiar trajectory: faster compute, denser storage, and incremental efficiency gains. The goals remain the same, but AI has completely changed the constraints. Power has officially replaced compute as the primary bottleneck in next-generation infrastructure design. High-density AI deployments are forcing every layer of the stack to be reengineered, from liquid cooling and power delivery to network architecture and facility location. In this episode of the Shared Everything podcast, host Nicole Hemsoth Prickett brings together five perspectives from across the ecosystem including VAST Data CEO Renen Hallak alongside experts from Lambda, SemiAnalysis, Data Center Richness, and Koomey Analytics to discuss how AI is reshaping the physical world of IT. From power grid realities to orbital datacenters, explore the future of infrastructure engineering.

What does #AgenticAI need when context windows outgrow #GPU memory? 🧠 During the Supermicro Open Storage Summit interview series, Supermicro, VAST Data and Solidigm discussed how the combination of KV cache, CMX and tiered storage can help customers balance performance, capacity, cost and workload growth while reducing the pressure to treat every challenge as a GPU problem. 👉 Check out #theCUBE’s exclusive interview: https://lnkd.in/dHFaYUUP “One of the beautiful things that’s happened in this agentic AI, or even just the AI era, is [that] people are starting to pay attention to storage,” Scott Shadley, MBA, Board Member, director of technology planning at Solidigm, told theCUBE’s Rob Strechay. “But at the end of the day, it comes down to that bit of data and how fast that bit of data moves from point A to point B.” As #context windows grow, #storage is becoming part of the architecture itself — not an afterthought. Learn more on theCUBE.

Jeffrey Tay and Dr. Ettikan K Karuppiah explore how the "AI Factory" model transforms traditional enterprise workloads into high-performance, GPU-accelerated compute pipelines. They break down the mechanics of inference economics, highlighting how joint technologies like KV Cache and NVIDIA Dynamo frameworks significantly lower the cost per token for production workloads. 

VAST FWD26 sold out fast. Save the date for VAST FWD27 in Salt Lake City. Get ready for hands-on labs, visionary keynotes, and deep technical training as we shape, build, and scale the future of AI. Register now: https://lnkd.in/evVj3VZ2