NVIDIA H100 8x80GB Baseboard

8×NVIDIA H100 80GB SXM GPU Baseboard: Ultimate AI and HPC Power

8×NVIDIA H100 SXM 80GB GPU Baseboard is a high-performance server platform featuring eight NVIDIA H100 GPUs with 80 GB of HBM3 memory each. Together, they provide an impressive 640 GB of ultra-fast memory and supercomputer-level compute power for the most demanding AI and high-performance computing (HPC) workloads.

Designed for modern data centers and AI clusters, this baseboard connects all GPUs via NVLink and NVSwitch, delivering inter-GPU bandwidths of up to hundreds of GB/s. Unlike PCIe-based setups, all accelerators operate as a unified compute fabric, eliminating bottlenecks and ensuring maximum scalability.

Specifications

• Series: Tesla
• GPU Architecture: Hopper
• Total Memory: 640 GB HBM3
• Memory per GPU: 80 GB HBM3
• CUDA Cores: 135,168
• Tensor Cores: 4,224 (4th Gen)
• Theoretical Performance: up to 535 TFLOPS (FP16/FP8 Tensor)
• Interconnect: NVLink + NVSwitch (up to 900 GB/s per GPU)
• Interface: PCIe 5.0 x16 (for baseboard integration)
• Form Factor: HGX SXM5
• Power Consumption: approx. 5600 W (8 GPUs combined)
• Cooling: Liquid-cooled or advanced air-cooled solutions (used in Cray, HPE, and OEM systems)

Advantages of Baseboard vs. Separate GPUs

• Unified architecture. All eight GPUs act as a single computational system — essential for training large language models (LLMs) that must fit entirely into memory.
• Extreme interconnect speed. NVSwitch enables direct GPU-to-GPU data exchange at up to hundreds of GB/s — far beyond the limits of PCIe.
• Infrastructure efficiency. Shared cooling, power, and communication modules significantly reduce energy usage and simplify integration.
• Cost optimization. In real-world training and inference time, SXM modules achieve higher ROI compared to multiple PCIe GPUs.

Applications

• AI and LLM training. Large-scale neural networks such as GPT, DeepSeek, Qwen, and Mistral.
• HPC simulations. Molecular dynamics, physics, energy systems, and climate modeling.
• Generative AI. Training multimodal and large generative models requiring high data throughput.
• Cloud infrastructure. Scalable GPU clusters for enterprise and research workloads.

Why Choose NVIDIA H100 80GB SXM Baseboard

• Eight H100 GPUs in one unit — providing supercomputer-class compute density.
• NVLink/NVSwitch architecture ensures performance impossible to achieve with PCIe solutions.
• OEM design offers DGX-equivalent architecture at a more accessible cost.
• Future-ready platform for scaling next-generation AI clusters and data centers.

8×NVIDIA H100 SXM 80GB GPU Baseboard is the foundation for next-generation AI infrastructure — delivering maximum speed, scalability, and reliability. Ideal for organizations developing advanced LLMs, generative AI, and HPC workloads requiring unmatched computational performance.