NVIDIA H200 Tensor Core Graphics Card
₹3,766,229.00₹4,180,514.00 (-10%)
- Product: NVIDIA H200 Tensor Core Graphics Card
- GPU Memory: 141GB HBM3e
- Memory Bandwidth: Up to 4.8TB/s
- Tensor Performance: Up to 3,958 TFLOPS
- Interconnect: NVIDIA NVLink & PCIe Gen5
- Power Consumption: Up to 700W
- Form Factor: SXM / PCIe Dual-Slot
- Warranty: 1 Year Assured Warranty
- Quality Assurance: Professionally tested by certified technicians
- Support: 24/7 Technical Support
- Use Cases: AI Training, Large Language Models (LLMs), Deep Learning, HPC Workloads, Generative AI, Data Center Computing
Are you currently implementing artificial Intelligence infrastructure for large language models, generative AI, and high-performance computing workloads? Need an efficient GPU to handle these? The NVIDIA H200 Tensor Core GPU, built on the Hopper Architecture, boasts 141GB of HBM3e memory, ultra-high memory bandwidth, and 4th Generation Tensor Cores for acceleration of graphics performance, reducing processing bottlenecks, and enhancing data center scalability. The NVIDIA H200 graphics card and SXM support PCIe Gen5, NVLink multi-GPU scaling, multi-instance GPU, CUDA acceleration, GPUDirect RDMA, GPUDirect Storage, virtualization, and advanced sparsity optimization. These features boost AI training and inference and HPC performance, and support larger AI models. It’s ideal for training LLMs, generative AI, deep learning, scientific computing, pharmaceutical research, financial analytics, digital twins, and AI inference. ServerBasket offers technical support, deployment assistance, fast delivery, and a 1-year warranty with this GPU.
Technical Specifications
| FP64 Performance | 34 TFLOPS |
|---|---|
| FP64 Tensor Core | 67 TFLOPS |
| FP32 Performance | 67 TFLOPS |
| TF32 Tensor Core | 989 TFLOPS |
| BFLOAT16 Tensor Core | 1,979 TFLOPS |
| FP16 Tensor Core | 1,979 TFLOPS |
| FP8 Tensor Core | 3,958 TFLOPS |
| INT8 Tensor Core | 3,958 TFLOPS |
| GPU Memory | 141GB |
| Memory Bandwidth | 4.8 TB/s |
| Decoders | 7 NVDEC, 7 JPEG |
| Confidential Computing | Supported |
| Max Power Consumption | Up to 700W |
| Multi-Instance GPU | Up to 7 MIGs @ 18GB |
| Form Factor | SXM |
| Interconnect | NVLink 900GB/s, PCIe Gen5 128GB/s |
| Server Support | NVIDIA HGX H200 Systems |
| AI Enterprise Support | Included |
| Ideal Use Cases | AI Training, HPC, LLMs, Deep Learning |
Technical Specifications
| FP64 Performance | 30 TFLOPS |
|---|---|
| FP64 Tensor Core | 60 TFLOPS |
| FP32 Performance | 60 TFLOPS |
| TF32 Tensor Core | 835 TFLOPS |
| BFLOAT16 Tensor Core | 1,671 TFLOPS |
| FP16 Tensor Core | 1,671 TFLOPS |
| FP8 Tensor Core | 3,341 TFLOPS |
| INT8 Tensor Core | 3,341 TFLOPS |
| GPU Memory | 141GB |
| Memory Bandwidth | 4.8 TB/s |
| Decoders | 7 NVDEC, 7 JPEG |
| Confidential Computing | Supported |
| Max Power Consumption | Up to 600W |
| Multi-Instance GPU | Up to 7 MIGs @ 16.5GB |
| Form Factor | PCIe Dual-Slot Air-Cooled |
| Interconnect | NVLink Bridge 900GB/s, PCIe Gen5 128GB/s |
| Server Support | NVIDIA MGX H200 NVL Systems |
| AI Enterprise Support | Included |
| Ideal Use Cases | AI Inference, Enterprise AI, Data Centers |
No FAQ Found













Reviews
There are no reviews yet.