Last month at VAST Forward, our first global user conference, the energy in the room across customers, partners, developers, and AI leaders underscored a fundamental shift in the conversation around AI infrastructure.
Organizations are no longer experimenting with AI at the edges. They are building production systems that must scale, perform, and operate reliably across entire enterprises.
Now, as the industry gathers at NVIDIA GTC, the themes we explored at Forward will continue across the broader AI community. Enterprises now place unprecedented demand on data infrastructure and how data is stored, processed, governed, and delivered to GPUs at scale.
One of the most exciting VAST FWD announcements was the C-Node X, a new class of accelerated infrastructure built on the NVIDIA AI Data Platform reference design that delivers a fully accelerated AI data stack with dramatically faster data preparation, transformation, and pipeline operations to remove the bottlenecks that traditionally slow AI development.
We also introduced PolicyEngine and TuningEngine, two intelligent capabilities that signify a major advance toward self-managing infrastructure. These tools are designed to enable enterprises to operate AI systems more securely and efficiently, allowing infrastructure to dynamically adapt to the demanding requirements of large-scale AI environments.
The key takeaway for enterprise AI is that the control and orchestration of data is just as critical as the storage location itself.
Continuing the Conversation at GTC
Throughout the week at NVIDIA GTC, the VAST team will participate in a number of speaking sessions, technical discussions, and partner collaborations focused on the future of AI data infrastructure.
One technical focus in particular is overcoming the ‘memory wall’ for long‑context, agentic AI, which arises when GPU memory limits hinder scalable inference. In our session [S82255] on Thursday, we’ll build on the principles we detailed in our blog on NVIDIA Dynamo and VAST’s scalable, optimized inference layer, showing how Dynamo’s multi‑tiered KV Block Manager combines with the VAST AIOS to intelligently manage context memory, eliminate bottlenecks, and deliver dramatically higher throughput and GPU utilization for large‑scale deployments.
There will be plenty of opportunities to unwind and network with the VAST team and our partners, including our St. Patrick’s Day celebration on Tuesday.
And, of course, we invite you to visit the VAST booth #1007 and see live demos, including a research agent RAG sandbox and a healthcare/life sciences AI factory. You can also enter to win an NVIDIA DGX Spark™.
Experience the Future of AI Infrastructure
Enterprise AI is entering a new phase, and the success of these systems will ultimately depend on the infrastructure beneath them. Organizations moving to production AI need a foundation that simplifies complexity, accelerates performance, and provides a foundation for the next generation of intelligent applications.
That’s the mission driving everything we’re building at VAST. Together with the broader AI ecosystem, we’re helping define and deliver the key requirements for organizations looking to scale their mission-critical AI initiatives.
If you’re attending GTC, we’d love to connect - schedule a meeting here.
We look forward to seeing you there.
