Designed to power demanding generative AI workloads, the NVIDIA DGX B300 packs 2.1 TB of GPU memory alongside an impressive 64 TB/s of bandwidth.
This combination drastically slashes the cost per token while providing teams with a versatile AI supercomputer that helps data scientists and developers move from raw data to actionable insights much faster.
Key Specs:
Powered by the latest NVIDIA Blackwell architecture, the DGX B300 delivers up to 3x faster training and an incredible 15x boost in inference performance over prior generations.
It acts as an end-to-end AI platform that simplifies the entire pipeline from initial development to full deployment helping businesses at any scale accelerate their AI adoption.
From initial model training to fine-tuning and high-volume inference, scaling complex AI workloads takes substantial compute capabilities.
The NVIDIA DGX B300 consolidates these demands into one high-performance system, enabling engineers to speed up deployment without switching tools or platforms.
Driven by next-gen NVIDIA Blackwell architecture, the DGX B300 delivers twice the attention processing power and a 1.5x boost in dense FP4 performance over the DGX B200.
It acts as the anchor system for NVIDIA DGX BasePOD and SuperPOD deployments, providing reliable, high-end compute across diverse AI tasks.
The DGX B300 isn’t just hardware; it’s an integrated ecosystem that ships with NVIDIA AI Enterprise and Base Command out of the box.
Backed by extensive third-party integration and direct access to NVIDIA professional services, it offers a fully supported stack for enterprise deployment.
The DGX B300 ships with a pre-optimized software environment combining an AI-tailored OS, vital system software, and pre-built NGC assets like models and acceleration libraries.
Backed by NVIDIA Enterprise Services for technical support and expert advisory, it ensures a faster, smoother path from deployment to operation.
Serving as an all-in-one platform for analytics, training, and inference workloads, the DGX B300 pushes compute density further by offering 72 petaFLOPS of AI training performance in a 10U form factor.
It effectively replaces fragmented legacy setups with a streamlined, unified solution.
Pre-installed with the NVIDIA DGX OS stack (available in Ubuntu or RedHat Enterprise Linux), DGX systems feature fine-tuned GPU and network drivers, Docker container management, and a suite of datacenter administration tools equipped with enterprise security.
NVIDIA AI Enterprise provides a secure, cloud-native software suite that covers the entire AI development cycle.
It includes a constantly updated library of data science tools, pre-trained models, and optimized frameworks all backed by full-stack enterprise support from NVIDIA to keep production environments running smoothly.
NVIDIA Mission Control combines NVIDIA Base Command and NVIDIA Run:AI into a single management layer for resource orchestration, Slurm workload management, and Jupyter Notebook environments.
The result is a straightforward, enterprise-grade platform that simplifies scheduling and keeps compute resources running efficiently.
The NVIDIA NGC hub serves as a central hub for popular AI frameworks, GPU-accelerated applications, pre-trained models, and ready-to-deploy workflows.
Because these components are pre-tuned and regularly updated, you can start running optimized workloads the moment your DGX system is up and running.
Powered by DGX B300 systems, the NVIDIA DGX SuperPOD offers a turnkey, large-scale infrastructure solution backed directly by NVIDIA’s deep AI expertise.
Its modular architecture makes it easy to scale compute capacity as your needs grow, dramatically shortening training cycles and speeding up inference across complex enterprise projects.
| Configuration | NVIDIA DGX B300 2.1TB |
|---|---|
| CPU |
2 Intel® Xeon® 6776P Processors 128 Cores total, 2.3 GHz (Base), 3.9 GHz (Max Boost) |
| RAM | 2TB, 4TB |
| NVMe capacity | 2x 1.9TB |
| U.2 capacity | 8x 3.84TB |
| GPU | 8x NVIDIA Blackwell Ultra GPUs |
| Networking |
4x OSFP ports serving 8x single-port NVIDIA ConnectX-7 VPI 400Gbps Infiniband / Ethernet, 2x dual-port QSFP112 NVIDIA BlueField-3 DPU 400Gbps Infiniband / Ethernet, 10Gb/s onboard NIC with RJ45, 100Gb/s dual-port ethernet NIC, Host baseboard management controller (BMC) with RJ45 |
| Support | 3 years, 4 years, 5 years |
| Premium Support | 3 years, 5 years |
| Additional Software |
NVIDIA AI Enterprise 3 years, NVIDIA AI Enterprise 4 years, NVIDIA AI Enterprise 5 years, None |
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