Breaking the Inference Bottleneck: How NVIDIA KV Cache and VAST Unify Performance, Scale, and Efficiency for the AI Era
A successful AI Factory undoubtedly requires the ability to provide high performance inference at scale for generative and agentic AI applications. As context windows grow, model sizes surge, and user expectations demand instant responses, organizations face an unavoidable truth: the traditional approach to serving LLMs does not scale. The limiting factor is no longer GPU compute—it is the system’s ability to move and manage the Key-Value (KV) Cache efficiently.
In this 45-minute webinar, John Kim, Director of Storage Marketing at NVIDIA, and Anat Heilper, Director of AI Architecture at VAST Data, brought clarity to the challenge and present a new architectural path forward. They discussed how NVIDIA’s KV Cache innovations, including KV offloading and the multi-tier KVBM hierarchy, unlock radical GPU efficiency, while the VAST AI OS serves as the high-throughput, low-latency backbone that turns that promise into reality at AI Factory scale.
Attendees will learn how this joint solution:
Cuts time-to-first-token from 63 seconds to 3 seconds, an improvement of 20X, enabling interactive, real-time AI experiences.
Reduces GPU compute consumption by up to ~90%, expanding inference capacity without expanding GPU fleets.
Sustains 160–200 Gb/s KV Cache throughput across large GPU clusters—proving that storage is no longer the bottleneck.
Enables massive request-level parallelism, long-context windows, stateful sessions, and ultra-large model deployments.
This session walked through architectures validated on Llama-3.1-405B with NVIDIA Dynamo, explained the role of VAST as the G3 offload tier in the KVBM stack, and illustrated how cloud service providers and AI-native enterprises can adopt this model to deliver efficient, high-performance AI services at scale.
Lastly, our featured speakers introduced the benefits, architecture, and results you can expect with a new NVIDIA Inference Memory Context Storage platform with VAST, Bluefield 4 DPUs, and Spectrum-X networking.
If your business depends on serving inference at high performance, high concurrency, and high efficiency, this webinar will clarify the path forward — and demonstrate how VAST and NVIDIA are redefining what is possible for the next era of AI infrastructure.