NVIDIA H200 NVL 141GB HBM3e PCIe GPU | Data Center GPU for Generative AI, LLMs, HPC, Inference & Accelerated Computing
₹3,392,799
The NVIDIA H200 NVL 141GB HBM3e PCIe GPU is a high-performance data center accelerator designed for demanding AI, high-performance computing (HPC), inference, and accelerated computing workloads. With 141GB of HBM3e memory, it provides high-capacity, high-bandwidth GPU memory for generative AI, large language models, deep learning, scientific computing, and enterprise-scale accelerated applications.
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Key Features
- 141GB HBM3e Memory: High-capacity, high-bandwidth GPU memory designed for demanding AI and HPC workloads.
- NVIDIA H200 NVL: Professional data center GPU platform for enterprise AI and accelerated computing.
- PCIe Form Factor: Designed for compatible PCIe-based server and data center systems.
- Generative AI: Suitable for generative AI development, training, fine-tuning and inference workloads.
- LLM Workloads: Designed for large language models and other memory-intensive AI applications.
- High-Performance Computing: Suitable for scientific computing, simulations, analytics and HPC workloads.
- AI Inference: Designed for high-performance inference and enterprise AI deployments.
- Accelerated Computing: Supports demanding GPU-accelerated workloads across enterprise and data center environments.
Specifications
| Specification | Details |
|---|---|
| Brand | NVIDIA |
| GPU Model | NVIDIA H200 NVL |
| GPU Category | Data Center GPU |
| Architecture | NVIDIA Hopper |
| GPU Memory | 141GB |
| Memory Type | HBM3e |
| Interface | PCIe |
| Application | AI, HPC, Inference & Accelerated Computing |
| AI Workloads | Generative AI, LLMs, Deep Learning & Inference |
| HPC Workloads | Scientific Computing, Simulation & Data Analytics |
| Usage | Data Center, Enterprise & Accelerated Computing |
| Form Factor | PCIe GPU |
| Product Category | Professional Data Center GPU |
Ideal Applications
- Generative AI
- Large language models (LLMs)
- AI model training and inference
- Deep learning and machine learning
- High-performance computing (HPC)
- Scientific research and simulation
- Data analytics
- Enterprise AI applications
- Accelerated computing
- Large-scale data center workloads
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