Frequently Asked Questions
Everything you need to know about the NVIDIA H200 GPU
What is the NVIDIA H200?
The NVIDIA H200 is the latest data center GPU designed for AI and HPC workloads. It's based on the Hopper architecture and features 141GB of HBM3e memory with 4.8 TB/s bandwidth, making it the most powerful GPU for large language model inference.
How much does the H200 cost?
The NVIDIA H200 costs approximately $30,000-$40,000 per unit for direct purchase. Prices vary based on quantity, vendor, and market conditions. For cloud instances, pricing ranges from $3-$5 per GPU-hour depending on the provider.
When was the H200 released?
NVIDIA announced the H200 in November 2023. Mass production and shipments to cloud providers and enterprise customers began in Q2 2024 (April-June 2024).
Where can I buy or rent H200 GPUs?
You can access H200 GPUs through major cloud providers including AWS, Google Cloud, Microsoft Azure, CoreWeave, and Lambda Labs. For direct purchase, contact NVIDIA partners like Dell, HPE, Supermicro, or authorized GPU resellers.
What is the difference between H200 and H100?
The main differences are memory and bandwidth. H200 has 141GB HBM3e (vs 80GB HBM3), 4.8 TB/s bandwidth (vs 3.35 TB/s), and up to 1.9x faster LLM inference. Both use the same Hopper architecture with identical compute capabilities.
What cloud providers offer H200 instances?
AWS (P5e instances), Google Cloud (A3 Ultra), Microsoft Azure, CoreWeave, Lambda Labs, and Oracle Cloud all offer or have announced H200 instances. Availability varies by region.
What are the H200 specifications?
Key specs: 141GB HBM3e memory, 4.8 TB/s memory bandwidth, 528 Tensor Cores, 3,958 TFLOPS FP8 performance, 700W TDP, NVLink 4.0 (900 GB/s), and SXM5 form factor.
Is H200 better than A100 for AI training?
Yes, significantly. The H200 offers roughly 3x the performance of A100 for AI training and up to 6x for inference workloads. However, A100 remains a cost-effective option for smaller models and budget-conscious deployments.
What workloads is H200 best suited for?
H200 excels at large language model (LLM) inference, generative AI, transformer-based models, and memory-intensive AI workloads. Its 141GB memory allows running larger models without model parallelism.
Can I upgrade from H100 to H200?
In many cases, yes. The H200 uses the same SXM5 socket as H100 SXM, making it a potential drop-in replacement. However, verify compatibility with your specific server vendor and ensure adequate cooling for the 700W TDP.
Want More Details?
Explore our detailed specifications and comparison pages for in-depth technical information.