Nvidia H200 GPU
Increased Performance and Faster Memory
The NVIDIA H200 Tensor Core GPU, based on the Hopper architecture, delivers exceptional performance for AI and HPC processing. This GPU is the first to feature HBM3e memory with a capacity of 141 gigabytes and a bandwidth of 4.8 terabytes per second, offering 1.4 times the speed of the H100. This increase in memory capacity and speed accelerates large language model processing and scientific computing, providing optimized performance with reduced operational costs.
Enhanced Performance for Large Language Models
The H200 GPU provides twice the inference performance for language models like Llama2 70B compared to the H100, which is crucial for businesses that need high efficiency and cost reduction at scale. This GPU also enables more effective processing of GPT-3 175B models.
Key Features of NVIDIA H200
- 141 GB of HBM3e memory
- 4.8 TB/s memory bandwidth
- 4 petaFLOPS of FP8 performance
- 2x inference speed for large language models
- 110x performance improvement in scientific computing
Improved High-Performance Computing (HPC) Performance
Memory bandwidth is crucial in HPC applications as it enhances data transfer speeds and reduces latency in complex processing tasks. The H200 delivers up to 110 times faster performance compared to previous generations for memory-intensive applications like simulations and scientific research.
Reduced Energy Consumption and Operational Costs
With the introduction of the H200, energy efficiency and operational cost reduction have reached new heights. This advanced technology operates within the same power profile as the H100, but with improved speed and environmental efficiency. This provides a significant advantage for large data centers and supercomputing systems requiring high performance and economic savings.
Ready for Enterprise and AI Applications
The H200 NVL model is ideal for customers facing space constraints in data centers. It offers 1.5x more memory and 1.2x more bandwidth compared to the previous generation, providing faster performance for large language models. Additionally, the model includes a five-year NVIDIA AI Enterprise subscription, simplifying the development and deployment of production-ready AI solutions.
Technical Specifications of the NVIDIA H200 GPU
Available in both SXM and NVL models, the H200 supports a thermal design power of up to 700 watts. With 4.8 TB/s memory bandwidth and 7 MIG units, this GPU is an outstanding choice for complex applications like Generative AI and HPC.
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|
H200 SXM |
H200 NVL |
|
FP64 |
34 TFLOPS |
34 TFLOPS |
|
FP64 Tensor Core |
67 TFLOPS |
67 TFLOPS |
|
FP32 |
67 TFLOPS |
67 TFLOPS |
|
TF32 Tensor Core |
989 TFLOPS |
989 TFLOPS |
|
BFLOAT16 Tensor Core |
1,979 TFLOPS |
1,979 TFLOPS |
|
FP16 Tensor Core |
1,979 TFLOPS |
1,979 TFLOPS |
|
FP8 Tensor Core |
3,958 TFLOPS |
3,958 TFLOPS |
|
INT8 Tensor Core |
3,958 TFLOPS |
3,958 TFLOPS |
|
GPU Memory |
141GB |
141GB |
|
GPU Memory Bandwidth |
4.8TB/s |
4.8TB/s |
|
Decoders |
7 NVDEC 7 JPEG |
7 NVDEC 7 JPEG |
|
Confidential Computing |
Supported |
Supported |
|
Max Thermal Design Power (TDP) |
Up to 700W (configurable) |
Up to 600W (configurable |
|
Multi-Instance GPUs |
Up to 7 MIGs @18GB each |
Up to 7 MIGs @18GB each |
|
Form Factor |
SXM |
PCIe |
|
Interconnect |
NVIDIA NVLink™: 900GB/s PCIe Gen5: 128GB/s |
2- or 4-way NVIDIA NVLink bridge: 900GB/s PCIe Gen5: 128GB/s |
|
Server Options |
NVIDIA HGX™ H200 partner and NVIDIACertified Systems™ with 4 or 8 GPUs |
NVIDIA MGX™ H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs |
|
NVIDIA AI Enterprise |
Add-on |
Included |
Conclusion
The NVIDIA H200 Tensor Core GPU, with its high memory capacity, fast bandwidth, and reduced energy consumption, represents a major advancement in AI and HPC processing. It offers significant performance and operational cost improvements, making it an ideal choice for organizations and companies requiring advanced processing capabilities.
