Key Specifications

• GPU Platform: NVIDIA HGX B300
• GPU Configuration: 8 × NVIDIA Blackwell Ultra B300 SXM GPUs
• Total GPU Memory: Up to approximately 2.3TB HBM3e
• Memory per GPU: Up to 288GB HBM3e
• Aggregate GPU Memory Bandwidth: Up to 64TB/s
• Interconnect: NVIDIA NVLink + NVSwitch
• AI Performance: Up to 144 PFLOPS FP4 on HGX B300
• Networking: Supports high-speed NVIDIA ConnectX-8 networking
• Form Factor: High-density rackmount AI server
• Typical Deployment: AI data centers, GPU clusters, private AI cloud and HPC environments

Built for Large-Scale AI

The HGX B300 NVL8 platform is designed for workloads that require large GPU memory capacity and extremely fast communication between GPUs.

Typical applications include:

• Large language model training
• LLM inference
• Generative AI
• Reasoning models
• Multimodal AI
• AI agents
• Model fine-tuning
• Scientific computing
• HPC
• Simulation
• Private AI cloud
• GPU cloud infrastructure

The eight GPUs operate as a high-bandwidth compute domain through NVLink and NVSwitch, which is particularly important for distributed AI workloads that frequently exchange data between GPUs.

Up to 2.3TB of GPU Memory

One of the biggest advantages of the HGX B300 platform is its extremely large GPU memory capacity.

An 8-GPU HGX B300 node can provide up to approximately 2.3TB of HBM3e memory, allowing organizations to run larger models, larger context windows, bigger batches and more memory-intensive AI workloads within a single server node.

NVIDIA NVLink and NVSwitch

The HGX B300 architecture uses NVIDIA NVLink and NVSwitch to provide high-bandwidth, low-latency GPU-to-GPU communication.

Instead of relying only on PCIe for communication between GPUs, NVSwitch creates a high-speed fabric across the eight-GPU system, helping improve performance for:

• Distributed training
• Large-model inference
• Multi-GPU fine-tuning
• Scientific simulations
• Parallel computing
• High-throughput AI workloads

Buy and Host Your HGX B300 Server With Us

Desert Eagle AI can provide both NVIDIA HGX B300 AI servers and U.S.-based GPU server hosting / colocation.

Customers can:

• Purchase a configured HGX B300 server
• Deploy it in their own data center
• Host the server directly in our U.S. facility
• Use our rack, power and network infrastructure
• Request remote hands and on-site support
• Scale from a single server to multiple GPU nodes

Buy Your AI Server. Host It With Us.

For B300 systems, hosting suitability depends on the exact server configuration, rack density, power draw and cooling requirements, so deployment specifications should be reviewed before installation.

HGX B300 Colocation and Hosting

Already own an HGX B300 server?

We can evaluate compatible B300 deployments for:

• Rack space
• High-density power
• Network connectivity
• Public IP allocation
• Remote hands
• Hardware installation
• Server monitoring
• Component replacement
• On-site troubleshooting
• Multi-node deployment

Contact us with your server manufacturer, configuration, power requirements and quantity to confirm hosting availability.

Ideal Customers

The NVIDIA HGX B300 NVL8 is designed for:

• AI labs
• LLM companies
• GPU cloud providers
• Enterprise AI teams
• Research institutions
• Universities
• HPC organizations
• Generative AI platforms
• Model training companies
• Private AI infrastructure operators