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NVIDIA H100 SXM5 GPU 80GB Hopper Data Center Accelerator
Original price was: $199,000.00.$165,000.00Current price is: $165,000.00.
5 in stock
The NVIDIA H100 SXM5 GPU is built for the most demanding AI training, HPC, and data center workloads. With 8 GB of HBM3 memory and 3.35 TB/s bandwidth, it empowers enterprises to handle massive datasets and accelerate model development. Moreover, the SXM5 design supports NV Link at up to 900 GB/s, which makes it ideal for multi-GPU clusters in large-scale deployments.
Availability, Pricing & Custom Configuration Notice!
Due to market volatility, pricing and lead times may vary. Availability can change quickly based on supply, demand, warranty terms, and configuration requirements. For orders, custom requests, baseboard sourcing, or integration planning, please Request A Quote/ Contact us before ordering.
Key Features & Benefits (NVIDIA H100 SXM5 GPU)
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8 GB HBM3 memory with 3.35 TB/s bandwidth.
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SXM5 module design supporting NVLink scalability.
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Multi-Instance GPU (MIG) for workload isolation.
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Designed for optimized power and cooling at scale.
Use Cases
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Training LLMs and generative AI models.
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Scientific simulations & HPC clusters.
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AI research and enterprise innovation labs.
Compatibility & Popular Deployment Environments
The NVIDIA H100 SXM5 integrates into HGX-compatible GPU servers built for AI, HPC, and large-scale compute workloads. In addition, organizations commonly deploy these GPU platforms for model training, inference, analytics, simulation, and accelerated cloud infrastructure.
System compatibility depends on the server platform, SXM5 baseboard design, power delivery, thermal requirements, networking configuration, and firmware support. Furthermore, many enterprise deployments pair H100 GPU infrastructure with high-speed storage and low-latency networking for distributed AI environments.
Compatible Platform Types
- NVIDIA HGX H100 GPU server platforms
- 8-way SXM5 AI and deep learning systems
- Enterprise GPU compute clusters
- High-performance computing (HPC) environments
- OEM AI infrastructure platforms from major server vendors
Popular Deployment Environments
- Large language model (LLM) training environments
- Generative AI and inference clusters
- University and research computing labs
- Cloud GPU infrastructure platforms
- GPU-accelerated data center environments
- Scientific computing and simulation workloads
Frequently Paired Components
- HGX-compatible multi-GPU server chassis
- High-performance CPUs and DDR5 server memory
- Enterprise NVMe storage infrastructure
- InfiniBand and high-speed Ethernet networking
- Redundant high-wattage power supplies
- Advanced data center cooling solutions
Frequently Asked Questions
Does this listing include a complete NVIDIA server?
No. This listing focuses on NVIDIA H100 SXM5 GPU infrastructure and baseboard-level configurations. However, complete servers, storage, networking, and system integration services can also be quoted separately when required.
Where are NVIDIA H100 SXM5 GPUs commonly deployed?
Organizations deploy H100 SXM5 GPUs in AI training clusters, LLM environments, HPC systems, cloud GPU platforms, and enterprise data centers that require high-density accelerated computing.
Why do H100 pricing and lead times change frequently?
Market demand, allocation availability, system configuration requirements, and supply chain conditions can affect both pricing and lead times. Therefore, Catalyst Data Solutions recommends contacting our team for current availability, deployment planning, and custom sourcing assistance.
| Capacity | 80GB |
|---|---|
| Condition | New |
