NVIDIA GPU Baseboard with 4x H200 – Scalable Enterprise AI Starts Here
The NVIDIA GPU Baseboard 4 H200 is built for next-generation artificial intelligence and scientific computing workloads. Designed to handle massive throughput with four integrated NVIDIA H200 NVL GPUs, this configuration is ideal for training large language models (LLMs), generative AI, and real-time data analytics at enterprise scale. With unified memory access and extreme bandwidth, this baseboard forms the backbone of today’s most powerful data centers.
Parameters
Product line | Tesla |
---|---|
Number of stream processors | |
Power consumption (W) | 2800 |
Architecture | Hopper |
Monitor output | None |
Interface | NVLink-C2C |
Gigabytes of memory | 564 |
Cooling type | Passive |
Memory type | HBM3e |
Slot count | 0 |
Profile | SXM2 |
Accelerate AI and HPC Without Bottlenecks
With the combined architecture of four H200 GPUs, you unlock levels of memory capacity and bandwidth that single-card configurations simply can’t match. When you’re pushing boundaries in AI, machine learning, or HPC, the NVIDIA Baseboard with 4x H200 is the kind of solution that delivers both compute density and reliability. Explore the H200 GPU itself to see the core behind this performance leap.
Engineered for Deep Learning Infrastructures
This baseboard integrates seamlessly with NVIDIA’s advanced compute ecosystem. Pair it with high-density solutions like the NVIDIA HGX H100 Delta-Next 640GB SXM5 to construct a fully modular AI server architecture. For PCIe deployments, the NVIDIA H100 GPU HBM3 PCI-E 94GB offers another great point of reference for scale-out infrastructure.
Designed for Research Labs, Data Centers & Cloud AI
If you’re investing in the future of AI, from training massive foundational models to supporting inference at the edge, the NVIDIA GPU Baseboard 4 H200 delivers enterprise-grade performance without compromise. It’s the go-to solution for research institutions, hyperscale data centers, and enterprise AI labs pushing the envelope of innovation.
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