NVIDIA BlueField DPU Networking Platform

NVIDIA BlueField Platform

Advanced infrastructure computing platform for agentic AI factories.

Where to Buy

Find an NVIDIA BlueField partner or shop at the NVIDIA Marketplace.

Overview

Transform the Data Center for the Next Frontier of AI With NVIDIA BlueField

The NVIDIA BlueField™ platform ignites unprecedented performance, efficiency, and innovation to power AI factories, the new class of purpose-built data centers for AI. With its robust compute power and integrated software-defined hardware accelerators for networking, storage, and security, BlueField creates a secure, accelerated infrastructure for any workload in any environment, ushering in a new era of agentic AI, where autonomous agents reason, collaborate, and act at scale.

NVIDIA Vera CPU Accelerates AI-Native Storage in BlueField-4 STX

The NVIDIA Vera CPU in BlueField-4 STX outperforms x86 and delivers up to 3.21x higher throughput for a multi-stage compression and encryption pipeline, helping AI-native storage keep pace with agentic workloads.

NVIDIA Vera BlueField-4 STX Brings Agentic AI Storage Processing With In-Silicon Security

New NVIDIA DOCA™ capabilities deliver zero-trust file access, 1,000x faster threat detection, and 800 gigabits per second (Gb/s) of network enforcement for enterprise agentic AI.

Portfolio

Explore NVIDIA’s Portfolio of BlueField Platforms

NVIDIA BlueField-4 DPU

The NVIDIA BlueField-4 DPU is an 800 Gb/s infrastructure platform for gigascale AI factories. Delivering powerful computing and accelerations for networking, data storage, and cybersecurity, it unlocks new levels of performance, eliminates data-movement bottlenecks, improves power efficiency, and increases scale for AI infrastructure. Supported by a growing ecosystem of applications, BlueField-4 enables service providers and enterprises to deliver secure multi-tenant networking, rapid data access, real-time threat detection, and high-performance inference.

NVIDIA BlueField-4 STX Storage Processor

The NVIDIA BlueField-4 STX storage processor is purpose-built to power AI storage platforms with accelerated AI-native data movement and in-silicon security, boosting throughput, efficiency, and scalability for next-generation AI infrastructure. Combining the NVIDIA Vera CPU and NVIDIA ConnectX™-9 networking, the storage processor serves as a storage-side CPU and data-path engine, orchestrating data access, metadata processing, and secure storage services directly in the input/output (IO) path.

NVIDIA BlueField-3 DPU

The NVIDIA BlueField-3 DPU is a 400 Gb/s infrastructure compute platform with line-rate processing of software-defined networking, storage, and cybersecurity. BlueField-3 combines powerful computing, high-speed networking, and extensive programmability to deliver software-defined, hardware-accelerated solutions for the most demanding workloads. From accelerated AI to hybrid cloud, high-performance computing to 5G wireless networks, BlueField-3 redefines the art of the possible.

Benefits

Explore the Benefits of NVIDIA BlueField

High-Performance AI Networking

BlueField delivers up to 800 Gb/s connectivity with purpose-built accelerations for software-defined networking and distributed routing, freeing CPU cores while simplifying operations with integrated overlay and L3 underlay networking.

In-Silicon Security

BlueField enforces zero-trust security at the speed of AI, with real-time threat detection, isolation, and runtime protection, delivering robust security across distributed infrastructure, data platforms, workloads, and AI agents.

Accelerated AI Storage

BlueField accelerates data storage for AI with best-in-class remote direct-memory access (RDMA), Non-Volatile Memory Express over Fabrics (NVMe-oF), GPUDirect™ Storage, and support for block, file, and object, delivering high-performance access for AI data and inference context while boosting workload efficiency.

Elastic AI Infrastructure

BlueField acts as an infrastructure controller with multi-service architecture and built-in service function chaining, enabling elastic, rapid provisioning with Kubernetes integration and extending seamlessly across diverse cloud environments.

Use Cases

Infrastructure for Scalable and Secure AI

Cloud-Scale AI

Securely deploy and operate multi-tenant AI infrastructure at scale.

NVIDIA BlueField delivers high-performance, multi-tenant AI cloud services by accelerating networking, storage, and security. This enables faster model access, lower latency, stronger tenant isolation, and higher GPU and CPU utilization for AI workloads at scale. BlueField powers accelerated infrastructure services that enable NVIDIA DSX™ AI factories.

Cloud-Scale AI Factory

Enterprise AI Factory

Deploy and scale AI factories on premises.

NVIDIA BlueField powers the infrastructure services that keep on-premises AI factories running by offloading networking, storage, and security services from host CPUs. This delivers predictable performance, secure multi-tenant isolation, and efficient scaling of AI clusters for enterprise workloads.

Enterprise AI Factory

AI Grid

Scale distributed AI computing with secure, accelerated infrastructure.

NVIDIA BlueField offloads, accelerates, and isolates infrastructure services across AI grids. This allows multiple tenants and workloads to securely share high-performance infrastructure while delivering lower latency, higher utilization, and greater resilience for generative, agentic, and physical AI.

AI Grid

AI Storage

Accelerate AI-native storage infrastructure for AI agents.

With NVIDIA BlueField, storage partners can build AI-native data platforms that bring accelerated computing, networking, and in-silicon security. This transforms enterprise data into AI-ready intelligence by enabling long-lived context memory and high-performance data access for production AI factories.

AI Storage

Protecting Edge Computing

Secure operational technology and industrial control systems at the edge.

NVIDIA BlueField acts as a dedicated security processor within operational systems, delivering real-time visibility, zero-trust enforcement, and AI-powered threat detection without disrupting mission-critical operations. This lets organizations protect edge infrastructure while maintaining the availability, performance, and reliability of industrial processes.

Manufacturing robots being protected by edge computing
NVIDIA DOCA Enterprise-Ready Ecosystem of Libraries and Microservices

The Software Platform Powering the Agentic AI Factory

NVIDIA DOCA delivers enterprise-ready libraries and microservices for NVIDIA BlueField and ConnectX to accelerate, secure, and scale production AI workloads.

FAQ

Frequently Asked Questions About the NVIDIA BlueField Platform

The NVIDIA BlueField platform is an advanced infrastructure computing solution designed to power AI factories, which are purpose-built data centers for AI workloads. It combines powerful computing, high-speed networking, and integrated software-defined hardware accelerators for networking, storage, and security to create a secure, accelerated infrastructure for any workload in any environment.

The BlueField-3 DPU is a 400 Gb/s infrastructure compute platform designed for software-defined networking, storage, and cybersecurity. The BlueField-4 DPU is an 800 Gb/s infrastructure platform purpose-built for gigascale AI factories, offering higher throughput and advanced capabilities to unlock new levels of performance and efficiency.

The BlueField-4 STX is a storage processor purpose-built for AI storage platforms. It features the NVIDIA Vera CPU and ConnectX-9 networking to accelerate AI-native data movement, orchestrate data access, and provide in-silicon security directly in the I/O path.

An agentic AI factory is a new class of data center designed for agentic AI, where autonomous agents can reason, collaborate, and act at scale. BlueField supports these factories by providing secure, accelerated infrastructure that handles networking, storage, and security, allowing host CPUs to focus on AI model processing.

BlueField enforces zero-trust security at the speed of AI by embedding security features directly into the hardware. This includes real-time threat detection, isolation, and runtime protection for distributed infrastructure, data platforms, workloads, and AI agents.

NVIDIA DOCA is the software platform that delivers enterprise-ready libraries and microservices for NVIDIA BlueField and ConnectX. It is designed to accelerate, secure, and scale production AI workloads by providing developers with the tools to build infrastructure-aware applications.

The BlueField-4 STX improves storage performance by serving as a dedicated storage-side CPU and data-path engine. It uses the NVIDIA Vera CPU to deliver higher throughput for data pipelines, including compression and encryption, and integrates ConnectX-9 networking for accelerated data movement.

Yes, BlueField provides security and performance benefits at the edge. It acts as a dedicated security processor within operational technology (OT) systems to enforce zero-trust security and detect threats in real-time, helping protect mission-critical industrial processes.

The NVIDIA BlueField-4 DPU delivers up to 800 Gb/s connectivity. This high-bandwidth capability is designed to support the demanding networking requirements of gigascale AI factories.

BlueField enables high-performance, multi-tenant AI cloud services by offloading networking, storage, and security from host CPUs to the DPU. This improves isolation between tenants, enhances security, and increases overall GPU and CPU utilization for cloud providers.

The NVIDIA Vera CPU in the BlueField-4 STX is optimized for storage processing, delivering significant improvements in throughput for tasks like multi-stage compression, encryption, and data integrity checking, which are critical for AI-native storage systems.

BlueField supports several industry-standard AI storage technologies, including Remote Direct Memory Access (RDMA), NVMe-over-Fabrics (NVMe-oF), and GPUDirect Storage, while providing support for block, file, and object storage interfaces.

An AI Grid is a distributed computing architecture that scales AI across geographically dispersed locations. BlueField enables these grids by providing the secure, accelerated infrastructure needed to share resources across locations with lower latency and higher resilience for generative and physical AI workloads.

BlueField acts as an infrastructure controller that integrates with Kubernetes to enable elastic, rapid provisioning of resources across diverse cloud environments, supporting multi-service architectures and service function chaining.

Yes, NVIDIA works with a robust ecosystem of partners, including providers of cloud, storage, cybersecurity, and infrastructure services.

The BlueField-4 STX serves as a storage-side CPU and data-path engine that orchestrates data access, manages metadata processing, and applies secure storage services directly within the I/O path, which accelerates data movement for AI agents.

BlueField offloads security tasks from the host to the DPU, allowing for real-time threat detection and enforcement of security policies (such as zero-trust file access) at the hardware level, protecting the system without impacting performance.

Elastic AI infrastructure refers to the ability of the BlueField platform to dynamically manage and provision infrastructure services, such as networking and security, allowing AI clusters to grow or shrink based on workload demands while maintaining predictable performance.

Yes, BlueField powers the infrastructure services that keep on-premises AI factories running by offloading networking, storage, and security, ensuring that enterprise workloads get predictable performance and secure isolation.

Partner Ecosystem

NVIDIA Networking Solutions Ecosystem

Next Steps

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