AI factories continue to grow at unprecedented scale, processing structured, unstructured and emerging AI-native data. With demand for trillion-token workloads exploding, a new class of infrastructure is required to keep pace.
At NVIDIA GTC Washington, D.C, NVIDIA revealed the NVIDIA BlueField-4 data processing unit , part of the full-stack BlueField platform that accelerates gigascale AI infrastructure, delivering massive computing performance, supporting 800Gb/s of throughput and enabling high-performance inference processing.
Powered by software-defined acceleration across AI data storage, networking and security, NVIDIA BlueField-4 transforms data centers into secure, intelligent AI infrastructure — designed to accelerate every workload, in every AI factory. It’s purpose-built as the end-to-end engine for a new class of AI storage platforms, bringing AI data storage acceleration to the foundation of AI data pipelines for efficient data processing and breakthrough performance at scale.
NVIDIA BlueField-4 combines an NVIDIA Grace CPU and NVIDIA ConnectX-9 networking to deliver 6x the compute power and support AI factories up to 4x larger than possible with NVIDIA BlueField-3, accelerating gigascale AI infrastructure.
BlueField-4 also features multi-tenant networking, rapid data access, AI runtime security and cloud elasticity with native support for NVIDIA DOCA microservices — containerized services that secure, scale and simplify AI deployment and operations.
The NVIDIA BlueField-4 platform supports a multiservice architecture with native service function chaining, enabling seamless integration and management of multiple network, security and storage services within a single, unified framework.
Security is anchored by the NVIDIA BlueField Advanced Secure Trusted Resource Architecture, enabling service providers to create secure, bare-metal compute instances with zero-trust tenant isolation and full software-defined infrastructure control.
The NVIDIA BlueField platform delivers consistent performance, efficiency and security across the entire NVIDIA AI infrastructure portfolio, from computing systems like NVIDIA RTX PRO Servers , NVIDIA HGX , NVIDIA DGX , NVIDIA GB200 and NVIDIA GB300 systems to data-center-scale designs including the NVIDIA Enterprise AI Factory validated design built on NVIDIA Enterprise Reference Architectures , the NVIDIA AI Data Platform reference design, NVIDIA DGX SuperPOD and the NVIDIA Cloud Partner reference architecture .
NVIDIA ConnectX-9 SuperNICs deliver ultralow-latency, 800Gb/s networking to maximize efficiency in gigascale AI infrastructure. Built for NVIDIA Spectrum-X Ethernet, ConnectX-9 SuperNICs accelerate data movement, optimize RoCE performance, and enable consistent and predictable networking for the most demanding AI workloads.
Growing Ecosystem Adopts NVIDIA BlueField, Powered by NVIDIA DOCA
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/bluefield-4-ai-factory/#content
- https://www.nvidia.com/en-us/
- https://blogs.nvidia.com/?s=
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