NVIDIA HGX B300 10U
NVIDIA HGX B300 10U

NVIDIA HGX B300 10U

Price 420000.0 USD ($)/ Piece

MOQ : 300 Pieces

NVIDIA HGX B300 10U Specification

  • Usage
  • AI Training, Large Language Models (LLMs), Data Center Supercomputing
  • Size
  • 10U Rackmount
  • Material
  • High-grade server steel, aluminum, electronic components
  • Standard
  • Complies with server and rackmount standards
  • CPU Support
  • Supports high-end data center CPUs (exact models depend on integration/vendor)
  • Technique
  • Rackmounted, modular scalable computing
  • Service Period
  • Designed for 24/7 Data Center Operations
  • Installation Guideline
  • Install in standard server rack, ensure adequate power and cooling infrastructure
  • Processing
  • Parallel GPU-accelerated processing
  • Process
  • AI Model Training, Inference, Data Analytics
  • Input Voltage
  • 200-240 V AC
  • Warranty
  • 3 year
  • Product Type
  • AI Supercomputing Server Platform
  • Part
  • Server
  • Finish
  • Powder-coated, anti-corrosive
  • Humidity
  • 10% to 90% (non-condensing)
  • Temperature
  • Operating: 10-35C (50-95F)
  • Weight
  • Varies by configuration, typically 100-200 kg
  • IP Rating
  • N/A (for indoor, controlled data center use)
  • Supply Voltage
  • 200-240 V AC (data center power)
  • Application
  • Artificial Intelligence, Machine Learning, High-Performance Computing
  • Mounting Type
  • Rackmount (10U)
  • RAM
  • 96 Gigabyte (GB)
  • Dimension (L*W*H)
  • Standard 10U server dimensions, approx. 440 mm 448 mm 442 mm (varies upon integration)
  • Frequency
  • 50/60 Hz
  • Surface Treatment
  • Anti-static and anti-corrosive coat
  • Thickness
  • Industry standard for server build (varies per chassis component)
  • Output Voltage
  • As required by server components (typically 12 V DC internally)
  • Equipment Type
  • GPU Server Platform
  • Tolerance
  • Enterprise-class reliability standards
  • Design
  • High-density, airflow-optimized chassis
  • Color
  • Matte Black, Metallic Silver
  • Brand Name
  • Nvidia
  • Model No
  • HGX B300 10U
  • GPU Configuration
  • Up to 8x NVIDIA Blackwell B200 Tensor Core GPUs interconnected via NVLink for maximum bandwidth (NVLink Switch System)
  • Interconnect Bandwidth
  • Maximum GPU-to-GPU bandwidth via NVLink Switch System (multi-terabytes/sec aggregate)
  • System Management
  • BMC (Baseboard Management Controller), remote management tools supported
  • Storage Support
  • High-speed NVMe SSD arrays supported via expansion (depends on system integrator)
  • Scalability
  • Multiple HGX B300 10U nodes can be clustered for large-scale AI systems
  • Network Connectivity
  • Support for 400 Gb/s InfiniBand/Ethernet (depending on server vendor/integration)
  • Max System Memory Bandwidth
  • High-memory bandwidth support for AI/ML workloads
  • Power Supply
  • Redundant hot-swappable PSUs supported (exact spec varies by build)
  • Redundancy
  • High availability with redundant networking, power, and cooling (integration-dependent)
  • Compliance
  • RoHS, CE, FCC (integration-dependent)
  • PCIe Support
  • PCIe Gen5 integration for high-throughput connectivity
  • Cooling
  • Advanced air or liquid cooling supported (chosen by integrator)
 
 

About NVIDIA HGX B300 10U

The Aivres KR9288-X3 10U server, featuring the HGX B300 GPU platform, is engineered for the most demanding AI and HPC workloads. With advanced design, enterprise-grade reliability, and seamless integration with NVIDIA Blackwell GPUs, Aivres delivers the performance and scalability needed for large-scale training and inference.

Key advantages of the Aivres HGX B300 GPU Server include:

  • Enterprise reliability The KR9288-X3 10U chassis is built with rigorous quality standards, ensuring uptime and system stability in production environments.
  • Optimized for NVIDIA Blackwell Purpose-built for HGX B300, enabling faster pre-training, inference, and agentic AI workloads.
  • Scalable infrastructure Designed with flexibility to grow alongside your GPU cluster requirements, from initial deployments to full-scale data centers.


Groundbreaking GPU Interconnect Bandwidth

With up to 8x NVIDIA Blackwell B200 GPUs interconnected by the NVLink Switch System, the HGX B300 10U achieves multi-terabyte per second aggregate GPU-to-GPU bandwidth. This architecture enables unrivaled high-speed data migration for large-scale AI training, facilitating breakthrough parallel processing and delivering consistent, scalable performance for the most demanding workloads.


Designed for Enterprise-Grade Reliability

This platform is engineered to meet enterprise-class reliability standards, with features like redundant hot-swappable power supplies, high-efficiency cooling (air or liquid), and robust system management via BMC. Its modular, anti-corrosive chassis fits seamlessly into standard 10U server racks, supporting continuous 24/7 data center operation and ensuring maximum uptime for mission-critical environments.

FAQ's of NVIDIA HGX B300 10U:


Q: How do I install the NVIDIA HGX B300 10U in a data center environment?

A: To install the HGX B300 10U, mount the unit into a standard server rack (10U height), ensuring the rack can support its weight (typically 100-200 kg). Connect to 200-240 V AC power, arrange high-speed networking (InfiniBand/Ethernet), and ensure robust airflow or liquid cooling to maintain optimal operating temperatures (10-35C).

Q: What types of AI workloads is the HGX B300 10U best suited for?

A: The HGX B300 10U is engineered for large-scale AI training, deep learning, machine learning, large language models (LLMs), and data analytics. Its multiple high-end GPUs and massive bandwidth are ideal for parallel processing, model inference, and the most demanding AI research tasks.

Q: When should I consider using multi-node HGX B300 10U clustering?

A: Clustering multiple HGX B300 10U nodes is recommended when your AI or high-performance computing workloads require scaling beyond a single node's capacity, such as for massive neural networks, multi-tenant training, or supercomputing simulations demanding even greater aggregate GPU and network bandwidth.

Q: Where can I find compatible CPUs and SSDs for integration with the HGX B300 10U?

A: Compatible CPUs and NVMe SSD arrays depend on your chosen server integrator or vendor. The HGX B300 10U supports high-end data center CPUs and high-speed storage, but specific components are typically selected during system integration to match desired performance and use-case requirements.

Q: What is the process for managing and monitoring the HGX B300 10U?

A: System management is streamlined via the onboard Baseboard Management Controller (BMC), which supports remote management tools for tasks such as hardware monitoring, firmware updates, and power cycling. Redundant networking and power options further enhance manageable reliability.

Q: What benefits does the NVLink Switch System provide over traditional GPU interconnects?

A: The NVLink Switch System delivers multi-terabyte per second aggregate bandwidth between GPUs, vastly exceeding traditional PCIe connections. This enables faster data sharing, reduced latency, and more efficient model training, especially for large-scale AI and HPC applications.

Q: How does the HGX B300 10U ensure high availability and data center reliability?

A: The platform offers hot-swappable redundancy in power supplies, robust air or liquid cooling options, redundant networking (depending on integration), and is built from durable, high-grade materials with anti-corrosive treatments. These features ensure continuous, reliable operation in demanding data center environments.

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