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NVIDIA BlueField-4 Redefines AI Memory And Inference
Photo credit: NVIDIA
CES — NVIDIA has introduced BlueField-4, a new data processor powering its Inference Context Memory Storage Platform, a purpose-built AI-native storage system designed for the next wave of agentic AI.
As AI models scale to trillions of parameters and handle multi-step reasoning, they generate massive amounts of context data, known as key-value (KV) cache. Keeping this data on GPUs long-term creates bottlenecks, especially in large, multi-agent systems. NVIDIA’s new platform addresses this by extending GPU memory and enabling high-speed sharing of context across rack-scale AI clusters.
Built on BlueField-4 and enabled by NVIDIA Spectrum-X Ethernet, the platform boosts tokens per second and power efficiency by up to 5x compared with traditional storage, while improving responsiveness for multi-turn AI agents.
“AI is revolutionizing the entire computing stack — and now, storage,” said Jensen Huang, founder and CEO of NVIDIA. “AI is no longer about one-shot chatbots but intelligent collaborators that understand the physical world, reason over long horizons, stay grounded in facts, use tools to do real work, and retain both short- and long-term memory. With BlueField-4, NVIDIA and our software and hardware partners are reinventing the storage stack for the next frontier of AI.”
The platform features hardware-accelerated KV cache placement through BlueField-4, reducing data movement and metadata overhead, while integrations with NVIDIA DOCA, NIXL, and Dynamo help cut time to first token and improve multi-turn performance. Spectrum-X Ethernet serves as the high-performance fabric for efficient, secure data sharing across AI nodes.
Storage leaders including Dell Technologies, HPE, IBM, Pure Storage, Supermicro, VAST Data, and WEKA are among the first to build next-generation AI storage platforms using BlueField-4, which is expected to be available in the second half of 2026.
As AI models scale to trillions of parameters and handle multi-step reasoning, they generate massive amounts of context data, known as key-value (KV) cache. Keeping this data on GPUs long-term creates bottlenecks, especially in large, multi-agent systems. NVIDIA’s new platform addresses this by extending GPU memory and enabling high-speed sharing of context across rack-scale AI clusters.
Built on BlueField-4 and enabled by NVIDIA Spectrum-X Ethernet, the platform boosts tokens per second and power efficiency by up to 5x compared with traditional storage, while improving responsiveness for multi-turn AI agents.
“AI is revolutionizing the entire computing stack — and now, storage,” said Jensen Huang, founder and CEO of NVIDIA. “AI is no longer about one-shot chatbots but intelligent collaborators that understand the physical world, reason over long horizons, stay grounded in facts, use tools to do real work, and retain both short- and long-term memory. With BlueField-4, NVIDIA and our software and hardware partners are reinventing the storage stack for the next frontier of AI.”
The platform features hardware-accelerated KV cache placement through BlueField-4, reducing data movement and metadata overhead, while integrations with NVIDIA DOCA, NIXL, and Dynamo help cut time to first token and improve multi-turn performance. Spectrum-X Ethernet serves as the high-performance fabric for efficient, secure data sharing across AI nodes.
Storage leaders including Dell Technologies, HPE, IBM, Pure Storage, Supermicro, VAST Data, and WEKA are among the first to build next-generation AI storage platforms using BlueField-4, which is expected to be available in the second half of 2026.
Jan 6, 2026
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