NVIDIA HGX B300 8U

Name: NVIDIA HGX B300 8U
Brand: TS Sales Co Ltd
Price: 450000.0 USD
Availability: InStock

Price 450000.0 USD ($)/ Piece

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MOQ : 200 Pieces

NVIDIA HGX B300 8U Specification

Brand Name
Nvidia

Warranty
3 years

CPU Support
Yes

Product Type
B300

Part
Whole

RAM
64 Gigabyte (GB)

Size
288GB GPU

About NVIDIA HGX B300 8U

The Supermicro HGX B300 GPU Server, available in a robust 8U chassis, is designed to maximize GPU density and performance for the most demanding AI and HPC workloads. Built on NVIDIA Blackwell HGX technology, Supermicro delivers unmatched scalability and energy efficiency for large-scale training, inference, and simulation.

Key advantages of the Supermicro HGX B300 GPU Server include:

Proven enterprise reliability Backed by Supermicros track record in delivering mission-critical systems worldwide.
Optimized Blackwell performance Engineered to fully leverage NVIDIA HGX B300 architecture for LLM training, high-throughput inference, and advanced AI pipelines.
Flexible deployment Configurable 10U chassis options enable seamless integration into existing clusters and data center infrastructure.

Unmatched AI Performance

Harness the processing power of the NVIDIA HGX B300 8U to tackle intensive AI, machine learning, and data analytics workloads. Its 288GB GPU memory and 64GB RAM enable rapid calculations and large dataset processing, making it a preferred choice for research institutions and enterprises seeking high throughput and reliability.

Integrated System Compatibility

The HGX B300 8U supports a wide range of CPUs, allowing seamless deployment into existing server infrastructure. Whether expanding current capabilities or implementing new high-performance clusters, its flexibility ensures compatibility with evolving computational demands.

Quality Assurance and Support

Nvidia stands by the HGX B300 8U with a comprehensive 3-year warranty, reflecting commitment to longevity and dependable service. This warranty assures buyers of prompt support and coverage, helping maintain productivity with minimal downtime.

FAQ's of NVIDIA HGX B300 8U:

Q: How can the NVIDIA HGX B300 8U benefit large-scale AI and machine learning projects?

A: The NVIDIA HGX B300 8U offers extensive GPU memory (288GB) and 64GB RAM, enabling rapid processing of complex AI models and large datasets. This translates to significantly faster training times, higher accuracy, and increased productivity for organizations managing advanced AI or machine learning operations.

Q: What is the process for integrating the HGX B300 8U into an existing server environment?

A: The HGX B300 8U is designed with CPU support for seamless integration into most standard server infrastructures. Installation typically involves coordination with your IT team or system integrator to ensure compatibility and optimal configuration, supported by detailed documentation from Nvidia.

Q: When should I consider upgrading to the HGX B300 8U platform?

A: Consider upgrading when your current system struggles with high computational loads, lags during AI model training, or lacks sufficient memory for large-scale analytics. The HGX B300 8U delivers superior performance and scalability for growing AI or scientific computing needs.

Q: Where can I purchase the NVIDIA HGX B300 8U, and who supplies it?

A: The NVIDIA HGX B300 8U is available through authorized exporters, suppliers, and traders specializing in advanced computing solutions. For the best experience, choose reputable vendors with proven track records in handling Nvidia enterprise products.

Q: How does the 3-year warranty support users of the HGX B300 8U?

A: Nvidia's 3-year warranty covers parts and service, ensuring prompt assistance and minimal downtime in case of hardware issues. This support is critical for businesses relying on continuous, high-performance operations.

Q: What are the key usage scenarios for the HGX B300 8U?

A: The HGX B300 8U is optimized for deep learning, AI model training, scientific simulations, and large-scale data analysis in research labs, enterprises, and data centers requiring robust computational capacity.

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