HGX B300

NVIDIA

NVIDIA · Released Q2 2023 · 8192 CUDA Cores

HGX B300

OVERVIEW

The NVIDIA HGX B300 is a high-performance computing platform designed for AI training and inference, as well as scientific computing workloads. It is part of NVIDIA's HGX series, which is tailored for datacenter environments requiring massive parallel processing power. The B300 variant is built on the latest GPU architecture, offering significant improvements in performance and efficiency over previous generations.

SPECIFICATIONS

WHAT THIS GPU IS GOOD AT

The HGX B300 excels at large-scale AI training and inference tasks, offering unparalleled performance for deep learning models. Its architecture is optimized for high throughput and low latency, making it ideal for scientific simulations and complex data analytics. The platform's scalability and efficiency set it apart from alternatives.

SERVER OPTIONS

The NVIDIA HGX B300 is available in leading OEM server platforms such as Dell PowerEdge, HPE ProLiant, and Supermicro. It is also offered in cloud instances like AWS p5, Azure ND, and GCP A3, providing flexible deployment options for enterprises and research institutions.

POWER, THERMALS & NOISE

The HGX B300 is designed with a high TDP, necessitating advanced cooling solutions, typically liquid cooling, to maintain optimal thermal performance. It operates efficiently under heavy workloads, but noise levels can be significant in air-cooled configurations, making it more suitable for datacenter environments.

COMPATIBILITY & SYSTEM FIT

The HGX B300 supports PCIe Gen 4 and NVLink for high-speed interconnects, ensuring seamless integration with modern server architectures. It is available in SXM form factor, requiring compatible motherboards and power supplies capable of supporting its high power demands.

LIMITATIONS & KNOWN TRADE-OFFS

While the HGX B300 offers exceptional performance, its high power consumption and cooling requirements may limit its use in smaller or less equipped datacenters. Additionally, its availability may be constrained by supply chain factors, and its cost can be prohibitive for smaller organizations.

PRICING

Vendor
Price
Unit
Currency
Date Added
$0.00
month
USD
Feb 2, 2026
GMO GPU Cloud
View listing →
$0.00
hour
USD
Feb 2, 2026

NOTES

AI Training, HPC, Inference, Scientific Computing

"The B300 variant provides significant memory capacity and bandwidth for handling massive-scale model training."