VAST Data

Federal agencies require infrastructure that meets today's critical needs while also laying the foundation for tomorrow's AI demands. Randy Hayes, VP of Public Sector at VAST Data Federal, offers clear advice. Randy highlights how agencies are already buying data infrastructure. He shares insights on why choosing a platform that natively contextualizes all data for future AI workloads is the most efficient path, ensuring data is "ready to roll" when agentic AI initiatives begin. Hear Randy's perspective on maximizing infrastructure investments for AI readiness 👇

The U.S. government's AI leadership demands a data infrastructure that can keep pace. Yet, fragmented systems and traditional architectures create bottlenecks, hindering rapid intelligence and deployment. The VAST Data Federal Federal AI Operating System redefines what's possible. It's purpose-built to break through legacy barriers, enabling the training of foundation models at scale, seamless deployment of agentic AI, and real-time intelligence from sensor to screen. Experience extreme performance, radical simplicity, and built-in federal security.

Building an efficient AI factory hinges on blazing-fast inference. Are your costs soaring due to redundant 'prefill phase' computations in your LLMs? This quick video explains how KV Cache drastically cuts Time to First Token, transforming your inference economics. It's about more than speed; it's about intelligent resource utilization and enabling complex applications like RAG and multi-turn chat. See how open, standardized interfaces and a modern data platform are crucial for the next generation of AI.

AI systems are learning from experience. I ask VAST Data CEO Renen Hallak how his platform helps this to happen.

"Nobody got fired for buying XYZ..." but that mindset is fundamentally challenged by today's AI. In the new Shared Everything podcast, Nicole Hemsoth Prickett and VAST Data's new Principal Technical Strategist, Glenn K. Lockwood Lockwood, break down why your data platform must prioritize intrinsic flexibility. Discover how the unpredictable nature of AI workloads, especially inferencing and vector search, demands native support rather than bolted-on solutions. Listen to Glenn's expert take on 'Infrastructure That Lasts' for AI's future in its entirety: https://lnkd.in/gbDtfVFt

🎉 Persistent KV cache, ultra-low latency, and built for #AI inference. VAST Data and NVIDIA Dynamo, with its high-speed data movement layer NVIDIA NIXL, deliver #inference at scale—enabling seamless KV cache transfers across GPUs, CPUs, and storage. ⚡ 10× faster Time-to-First-Token 🔁 Disaggregated prefill and decode with persistent cache Learn more now ⤵️

From early genomics HPC to Microsoft’s AI training backbone, Glenn K. Lockwood has always been focused on scale and adaptation. Now, as inference reshapes the architecture playbook entirely, he’s landed at VAST Data as Principal Technical Strategist. Listen to our Shared Everything podcast conversation as Glenn explains what happens when the assumptions baked into decades of supercomputing (sequential file reads, stable data patterns, long SLAs yada yada) break under the weight of AI-native workloads. Inferencing, as he puts it, isn’t just another mode, it's a different beast entirely, with vector search, real-time cache hits, and fragmented retrieval all in the compute-critical path. Legacy systems weren’t built for this and really, most platforms still aren’t. Glenn makes the case that resilience (versus raw perf) is the new design imperative. #HPC #AI https://lnkd.in/eFQVs-mK

VAST Data is excited to welcome Glenn K. Lockwood as Principal Technical Strategist. Glenn brings deep expertise in large-scale infrastructure, honed at Microsoft supporting Azure supercomputers for LLM training and leading design at NERSC. In a new Q&A with Nicole Hemsoth Prickett, Glenn shares critical insights on designing systems for unpredictable AI demands, emphasizing flexibility and agility are paramount as workloads evolve faster than technology. He also discusses the biggest challenge in AI infrastructure: the "connective tissue" that makes systems run efficiently at scale. Discover Glenn's perspective on the shift to inferencing data challenges and why VAST Data was the clear choice for his next step 👇

A new report from Melius Research highlights how VAST Data is redefining the AI infrastructure stack unifying data, compute, and intelligence into a single high-performance platform purpose-built for the age of agentic AI. As AI moves beyond models to agents, the data layer becomes the foundation of real-time intelligence. VAST is delivering the platform to power that future. Here's a sneak peek at what's inside the report. Interested in learning more? Drop VAST a line. Ben Reitzes

Are traditional data architectures slowing your AI initiatives? Bottlenecks in data, compute, and observability can cripple speed to insight when it matters most. Discover how to overcome these limitations. VAST Data is teaming up with Supermicro and Voltage Park to dive into a partnership built to redefine AI model training and deployment at scale. This webinar will dive into full-stack AI data services, optimized observability, and how to achieve readiness for next-gen GPU hardware. This is your chance to learn about building dedicated, flexible, and high-performance AI infrastructure. Save your spots through the link in the comments!