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NVIDIA HGX B200 GPU Server

Name: NVIDIA HGX B200 GPU Server
Brand: TS Sales Co Ltd
Price: 350000.0 USD
Availability: InStock

Price 350000.0 USD ($)/ Piece

Get a Price/Quote

MOQ : 300 Pieces

NVIDIA HGX B200 GPU Server Specification

Design
Modular Hot-Swappable Components

Brand Name
NVIDIA

Output Voltage
12V DC (Internal distribution to components)

Usage
AI Training and Inference, HPC, Data Analytics

Service Period
3 Years Onsite/Return to Depot

Input Voltage
200-240V AC

Color
Black, Silver

Process
AI Model Training, Deep Learning, Scientific Simulation

Thickness
Industrial Chassis Thickness/Standard (approx. 2mm steel panels)

Finish
Powder Coated, Corrosion Resistant

Dimension (L*W*H)
Typical: 890mm (L) x 440mm (W) x 365mm (H)

Humidity
10-80% Non-condensing

Tolerance
Server Grade Precision

Frequency
50/60 Hz

Weight
Approx. 120 kg (fully populated)

Processing
High Performance With NVIDIA Blackwell GPUs

Size
Standard Rackmount (typically 10U or 8U)

CPU Support
yES

Standard
CE, FCC, RoHS

Surface Treatment
Powder Coating

Product Type
Server

RAM
32x 64GB Gigabyte (GB)

Technique
CNC Machined Chassis

Part
Server

Temperature
10C to 35C operating

IP Rating
IP20 (indoor, data center use)

Application
Data Center, AI Development, Research

Equipment Type
AI GPU Server

Supply Voltage
200-240V AC

Installation Guideline
Rackmount, Requires Compatible Rack Infrastructure

Material
Aluminium Alloy, Steel Chassis

Mounting Type
Rackmount

Model No
HGX B200

Management
IPMI, Redfish, NVIDIA Base Command Support

Power Supply
Redundant Power Supplies, 3000W-3500W each

Cooling Method
High Efficiency Air Cooling or Liquid Cooling (Model dependent)

GPU Support
Up to 8x NVIDIA Blackwell B200 Tensor Core GPUs

OS Compatibility
Linux (Ubuntu, RHEL, CentOS), Windows Server (selected versions)

NVLink
NVIDIA NVLink Switch System, 900GB/s GPU-to-GPU Bandwidth

Security
TPM 2.0, Secure Boot, Chassis Intrusion Detection

Expansion
OCP 3.0 slots, Expansion for high speed networking

Storage Options
Supports NVMe/SATA SSDs, up to 32TB+ (configurable)

PCIe
PCIe Gen5 x16 slots (multiple)

GPU Memory
Up to 1.4TB (8x NVIDIA B200, 175GB HBM3e each)

Network Connectivity
Ethernet up to 800Gbps, InfiniBand HDR/NDR supported

About NVIDIA HGX B200 GPU Server

he Aivres KR9288-X3 10U server is purpose-built for the next generation of AI and HPC workloads, delivering the compute density, reliability, and scalability needed to support large-scale training, inference, and scientific computing. With advanced thermal and power design, seamless integration with NVIDIA Blackwell GPUs, and enterprise-grade quality, Aivres systems set the standard for performance at scale.

Key advantages of the Aivres HGX B200 GPU Server include:

Enterprise reliability Built to exacting standards, the HGX B200 10U system ensures consistent uptime and system stability in mission-critical environments.
Optimized for NVIDIA Blackwell Engineered for the HGX B200 platform, enabling accelerated generative AI, inference, and reasoning-driven AI pipelines.
Scalable infrastructure Flexible architecture designed to expand alongside your GPU cluster, from initial deployments to multi-rack data centers.

Exceptional GPU Performance

Featuring up to 8 NVIDIA Blackwell B200 GPUs, the HGX B200 server delivers unprecedented acceleration for complex AI algorithms, deep learning workloads, and scientific simulations. With 1.4TB of HBM3e GPU memory and a blazing 900GB/s NVLink bandwidth, performance bottlenecks are minimized, enabling faster model training and inference cycles.

Robust, Scalable Architecture

Constructed from aluminium alloy and industrial-grade steel, this rackmount server offers modular design, CNC-machined chassis, and hot-swappable components for maximum uptime. Supporting up to 32TB of NVMe/SATA SSD storage, OCP 3.0 expansion, and redundant 3,000W to 3,500W power supplies, it's tailored for data center scalability and security with TPM 2.0 and chassis intrusion detection.

Flexible Integration & Management

Compatible with major Linux distributions and select Windows Server versions, the HGX B200 integrates seamlessly into existing infrastructure. Advanced management tools-IPMI, Redfish, and NVIDIA Base Command-simplify deployment, monitoring, and remote operations, while comprehensive networking (Ethernet up to 800Gbps, InfiniBand HDR/NDR) ensures optimal connectivity for collaborative workloads.

FAQ's of NVIDIA HGX B200 GPU Server:

Q: How does the NVIDIA HGX B200 GPU Server enhance AI training and scientific computing?

A: The HGX B200 leverages up to 8 Blackwell B200 Tensor Core GPUs and 1.4TB total HBM3e memory, connected via a high-speed NVLink switch, providing 900GB/s GPU-to-GPU bandwidth. This configuration accelerates complex AI model training, deep learning, and scientific simulations by minimizing latency and maximizing throughput.

Q: What is the process for installing and operating the HGX B200 server in a data center?

A: The server is designed for rackmount installation and requires a standard compatible rack infrastructure. After mounting, connect to 200-240V AC supply and configure networking, storage, and management options. System setup can be managed using IPMI, Redfish, or NVIDIA Base Command, streamlining deployment and ongoing operations.

Q: When should I consider using the HGX B200 for my organization?

A: Choose the HGX B200 when you need high-performance capabilities for AI research, deep learning, HPC, or large-scale data analytics. Its robust GPU and network support make it suitable for organizations handling demanding workloads in enterprise AI, academic research labs, and advanced data centers.

Q: Where can the NVIDIA HGX B200 best be utilized for maximum benefit?

A: This server excels in environments prioritizing AI training, advanced analytics, and HPC-typically in data centers, research institutions, and cloud facilities. Its scalable design and superior hardware make it ideal for enterprises looking to drive innovation in machine learning or scientific computing.

Q: How does the system ensure security and reliability during intensive computing tasks?

A: Security is reinforced with hardware TPM 2.0, secure boot, and chassis intrusion detection. The server incorporates modular, hot-swappable components, redundant power supplies, and efficient cooling methods (air or liquid, model dependent) to ensure high reliability during continuous, high-load operations.

Q: What are the supported operating systems and management interfaces for this server?

A: The HGX B200 supports leading Linux distributions (Ubuntu, RHEL, CentOS) and selected Windows Server versions. For system management, it includes IPMI, Redfish, and NVIDIA Base Command, offering administrators a range of interfaces for deployment, monitoring, and maintenance.

Q: What tangible benefits does the HGX B200 offer to organizations adopting AI or HPC workloads?

A: The server delivers rapid AI model iteration, efficient workload scaling, and reliable uptime. High-speed networking, massive memory bandwidth, and flexible expansion result in faster insights, reduced operational delays, and future-ready infrastructure for evolving data and computational needs.

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