NVIDIA DGX B300: Full Specification Revealed

 

• Hardware:
• GPUs: NVIDIA Blackwell Ultra GPUs (learn more about NVIDIA Blackwell GPUs) with 2.3TB total memory for massive datasets.
• CPU: Dual Intel® Xeon® Processors (learn more about Intel Xeon Processors).
• Performance: 72 PFLOPS FP8 (training) and 144 PFLOPS FP4 (inference).
• Networking: 800Gb/s InfiniBand/Ethernet, 8x OSFP ports, and NVIDIA BlueField-3 DPUs for ultra-fast data transfer.
• Storage: 38TB OS NVMe + 30.7TB internal NVMe (learn more about NVMe) for high-speed data access.
• Power: ~14kW consumption (typical for high-end AI systems).
• Software & Support:
• Runs NVIDIA DGX OS (learn more about NVIDIA DGX Systems), NVIDIA Mission Control, and supports Linux OS options like Red Hat Enterprise Linux, Rocky Linux, and Ubuntu.
• Includes 3-year support for reliability.

Ideal for enterprises tackling complex AI workloads, offering scalability, speed, and robust management tools.

 Key AI Industry Context:

The NVIDIA DGX B300 is part of NVIDIA's ongoing innovation in AI hardware, following the success of previous systems like the NVIDIA DGX A100. Its release aligns with the growing demand for high-performance computing in AI, driven by advancements in deep learning and machine learning. NVIDIA's GPUs have been instrumental in powering breakthroughs like GPT-3 and other large language models (LLMs), making systems like the DGX B300 critical for AI research and development.

For more details on NVIDIA's AI ecosystem, visit NVIDIA AI Enterprise and NVIDIA Base Command Manager.

For More Information:
To explore the full capabilities and specifications of the NVIDIA DGX B300, please refer to the official NVIDIA DGX B300 product page. Additionally, you can learn more about NVIDIA's broader AI and data center solutions by visiting the NVIDIA Data Center Solutions website. For the latest updates on NVIDIA's AI advancements and industry events, check out the NVIDIA Newsroom.