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| Product Overview |
|---|
The NVIDIA Tesla H100 80GB PCIe is a specialized GPU tailored for deep learning and AI computation. It fits into PCIe slots in servers and workstations, providing robust acceleration for demanding tasks in research and enterprise environments. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | H100-PCIe-80GB |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 5.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | None (compute/GPU accelerator card, no display outputs) |
| Suggested PSU | 1000W (minimum recommended for typical server/workstation configurations) |
| Power Connectors | 1x 12VHPWR (16-pin) |
| Physical Characteristics | |
|---|---|
| Slot Width | 3-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The NVIDIA Tesla H100 80GB PCIe is a high-performance compute graphics card designed specifically for deep learning and AI model training. Its large memory capacity and advanced architecture allow it to handle complex datasets and intensive computational tasks efficiently. Often found in data centers and research labs, this GPU accelerates machine learning workloads and scientific simulations. It is built for AI researchers, data scientists, and engineers who require powerful hardware to speed up model development and inference. Key Features
This GPU is commonly deployed in AI research centers, cloud computing platforms, and enterprise-level machine learning setups. It offers tangible benefits by reducing training time and enabling more complex model architectures without memory constraints. |