VAST Data has launched VAST DataEnclave, a confidential AI runtime built on NVIDIA Confidential Computing designed to allow enterprises to run AI models against sensitive data in isolated, secure environments. The platform supports various AI models and is intended for use in highly regulated industries like finance and healthcare where data sovereignty is critical.
The launch of this secure runtime addresses the primary bottleneck for AI adoption in highly regulated industries: the inability to move sensitive data to external models. By isolating execution at the hardware level, VAST Data allows organizations to utilize frontier models from partners like Deepgram and TwelveLabs within their own jurisdictional boundaries. This shift moves AI models from being external applications to logical resources managed directly by the operating system. For the streaming and media ecosystem, this enables secure processing of massive video archives and sensor feeds that were previously too sensitive for cloud-based analysis. Watch for whether Cisco and Supermicro's integrated systems accelerate the adoption of these confidential environments in regional AI clouds.
The growing demand for high-performance compute in media is also driving U.S. power grid modernization to ensure reliable infrastructure for AI-heavy workloads. Meanwhile, secure video for regulated sectors remains a critical priority for enterprises managing sensitive content, a trend further complicated by bespoke media integrations on SaaS that often introduce hidden technical debt. These infrastructure challenges are increasingly central to multi-tier AI storage strategy as industry standards evolve.
VAST Data has launched DataEnclave, a new runtime environment that utilizes NVIDIA Confidential Computing to secure AI workloads. By isolating execution at the hardware level, it allows enterprises to run proprietary models from partners like Cohere and TwelveLabs against private data without exposing intellectual property to infrastructure providers or external cloud entities.
VAST DataEnclave is a hardware-isolated environment designed to execute sensitive AI workloads securely using NVIDIA Confidential Computing.
It encrypts GPU memory and NVLink traffic during processing and uses a verify-before-decrypt attestation process to ensure environment validation before releasing decryption keys.
The platform integrates with Cohere, TwelveLabs, and Deepgram to enable LLM deployment and video intelligence in secure environments.
It addresses the bottleneck of moving sensitive data to external models by allowing organizations to manage AI models as internal resources within their own jurisdictional boundaries.
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