{"id":134424,"date":"2025-10-28T17:21:33","date_gmt":"2025-10-28T17:21:33","guid":{"rendered":"https:\/\/blogs.nvidia.com\/?p=86425"},"modified":"2025-10-28T17:21:33","modified_gmt":"2025-10-28T17:21:33","slug":"nvidia-launches-bluefield-4-the-processor-powering-the-operating-system-of-ai-factories-2","status":"publish","type":"post","link":"http:\/\/webdomino.net\/index.php\/nvidia\/nvidia-launches-bluefield-4-the-processor-powering-the-operating-system-of-ai-factories-2\/","title":{"rendered":"NVIDIA Launches BlueField-4: The Processor Powering the Operating System of AI Factories"},"content":{"rendered":"
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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.<\/p>\n

At NVIDIA GTC Washington, D.C, NVIDIA revealed the NVIDIA BlueField-4 data processing unit<\/a>, 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.<\/p>\n

Powered by software-defined acceleration across AI data storage, networking and security, NVIDIA BlueField-4 transforms data centers into secure, intelligent AI infrastructure \u2014 designed to accelerate every workload, in every AI factory. It\u2019s 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.<\/p>\n

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.<\/p>\n

BlueField-4 also features multi-tenant networking, rapid data access, AI runtime security and cloud elasticity with native support for NVIDIA DOCA microservices \u2014 containerized services that secure, scale and simplify AI deployment and operations.<\/p>\n

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.<\/p>\n

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.<\/p>\n

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<\/a>, NVIDIA HGX<\/a>, NVIDIA DGX<\/a>, NVIDIA GB200<\/a> and NVIDIA GB300<\/a> systems to data-center-scale designs including the NVIDIA Enterprise AI Factory<\/a> validated design built on NVIDIA Enterprise Reference Architectures<\/a>, the NVIDIA AI Data Platform<\/a> reference design, NVIDIA DGX SuperPOD<\/a> and the NVIDIA Cloud Partner reference architecture<\/a>.<\/p>\n

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.<\/p>\n

<\/b>Growing Ecosystem Adopts NVIDIA BlueField, Powered by NVIDIA DOCA<\/b><\/p>\n

AI infrastructure and cybersecurity pioneers will continue their track record of wide NVIDIA BlueField adoption and use BlueField-4 to build the next generation of accelerated, secure and software-defined data center platforms. Through DOCA, applications accelerated on today\u2019s BlueField platforms will run seamlessly on BlueField-4, delivering substantial performance gains.<\/p>\n

Server and storage leaders including Cisco, DDN<\/a>, Dell Technologies<\/a>, HPE, IBM, Lenovo, Supermicro, VAST Data<\/a> and WEKA<\/a> are building next-generation servers and AI storage platforms with BlueField \u2014 with planned adoption of BlueField-4 \u2014 to enable secure and efficient data movement at scale.<\/p>\n

Cybersecurity leaders including Armis<\/a>, Check Point<\/a>, Cisco, F5, Forescout<\/a>, Palo Alto Networks<\/a> and Trend Micro are building new solutions with the NVIDIA BlueField platform and planning to integrate NVIDIA BlueField-4 to deliver zero-trust, AI runtime security and real-time threat protection across service provider and enterprise environments.<\/p>\n

Cloud and AI providers such as Akamai<\/a>, CoreWeave, Crusoe, Lambda, Oracle Cloud Infrastructure, Together.ai and xAI are building on NVIDIA DOCA microservices to accelerate multi-tenant networking, speed data movement and enhance security in AI factories and supercomputing clouds.<\/p>\n

Cloud-native and infrastructure software platform providers Canonical<\/a>, Mirantis<\/a>, Nutanix<\/a>, Rafay, Red Hat<\/a>, Spectro Cloud and SUSE are looking to integrate BlueField-4 to automate networking, storage and security for AI-ready clouds and data centers.<\/p>\n

Global systems integrators Accenture, Deloitte and World Wide Technology<\/a> are working with NVIDIA to bring BlueField-powered AI infrastructure and cybersecurity services to enterprises, governments and manufacturers worldwide, as well as preparing to offer BlueField-4 when it arrives.<\/p>\n

NVIDIA BlueField-4 is expected to launch in early availability as part of NVIDIA Vera Rubin platforms in 2026.<\/p>\n

Watch the <\/i>GTC Washington, D.C., keynote<\/i><\/a> from NVIDIA founder and CEO Jensen Huang and explore <\/i>sessions<\/i><\/a>.<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"

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,\t
\n\t\tRead Article\t\t<\/span>
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