High-Bandwidth Memory
80GB HBM3 memory capacity
3.35 TB/s memory bandwidth
1,979 TFLOPS FP8 performance
Hopper Architecture
4th Gen Tensor Cores
NVIDIA Hopper architecture
Transformer Engine built-in
Enterprise Ready
NVLink 4.0 multi-GPU scaling
8-GPU configurations available
PCIe Gen5 support
H100 Powers Enterprise AI
Proven performance for training, inference, and HPC. The trusted choice for production AI deployments.
Prices for NVIDIA H100 GPU
Need more than 8 GPUs? Contact our sales team for custom pricing and volume discounts on multi-host environments.
Commitment price — as low as ₹155.90/hr per GPU
Need hundreds of H100 Tensor Core GPUs? We offer flexible pricing options for large-scale deployments. Commitment-based pricing for 3+ months can be as low as ₹155.90 per hour — contact us to learn more.
Contact salesOn-demand — from ₹249/hr per GPU
Access up to 8 NVIDIA H100 Tensor Core GPUs immediately through our cloud console — no waiting lists or long-term commitments required. For on-demand access to larger-scale deployments, contact us to discuss options.
Sign up to consoleDetailed Pricing Options
View all pricing tiers and configurations for H100
| Configuration | Hourly/On-Demand | Monthly | Annually |
|---|---|---|---|
1x NVIDIA H100Most Popular | ₹249/hr | ₹1,56,322 | ₹15,82,056 |
2x NVIDIA H100 | ₹499/hr | ₹3,12,644 | ₹31,64,112 |
4x NVIDIA H100 | ₹998/hr | ₹6,25,288 | ₹63,28,224 |
8x NVIDIA H100 | ₹1,995/hr | ₹12,50,576 | ₹1,26,56,448 |
NVIDIA H100 vs A100 Comparison
Comprehensive comparison between NVIDIA's Hopper H100 and Ampere A100 data center GPUs, including performance, architecture, and pricing differences.
| Specification | NVIDIA H100Hopper Architecture | NVIDIA A100Ampere Architecture | Advantage | |
|---|---|---|---|---|
| Memory | Capacity | 80GB HBM3 | 80GB HBM2e | Equal |
| Memory Type | HBM3 | HBM2e | ||
| Bandwidth | 3.35 TB/s | 2.0 TB/s | H100 +68% | |
| Performance | Architecture | Hopper (4nm) | Ampere (7nm) | |
| FP16 Tensor Core | 1,979 TFLOPS | 312 TFLOPS | H100 +534% | |
| TF32 Tensor Core | 989 TFLOPS | 156 TFLOPS | H100 +534% | |
| FP64 | 67 TFLOPS | 19.5 TFLOPS | H100 +244% | |
| FP8 Support | Yes (3,958 TFLOPS) | No | ||
| Architecture | Process Node | 4nm TSMC | 7nm TSMC | |
| Transistors | 80 billion | 54.2 billion | H100 +48% | |
| CUDA Cores | Up to 16,896 | 6,912 | H100 +144% | |
| Tensor Cores | 456-576 (4th Gen) | 432 (3rd Gen) | H100 +6-33% | |
| TDP (SXM) | 700W | 400W | A100 -43% | |
| AI/ML | Transformer Engine | Yes (FP8 support) | No | |
| MIG Support | Up to 7 instances | Up to 7 instances | Equal | |
| LLM Training Speed | 2-5x faster (typical) | Baseline | H100 +100-400% | |
| LLM Inference | 10-20x faster (with FP8) | Baseline | H100 +900-1900% | |
| Interconnect | NVLink Version | NVLink 4.0 | NVLink 3.0 | |
| NVLink Bandwidth | 900 GB/s | 600 GB/s | H100 +50% | |
| PCIe Generation | PCIe Gen5 | PCIe Gen4 | ||
| Pricing | On-Demand (per hour) | ₹249 | ₹226 | A100 -9% |
| 1 Month Commitment | ₹199 | ₹181 | A100 -9% | |
| Performance per Dollar | Better for large models | Better value for smaller models | Equal | |
H100 Advantages
- 2-5x faster AI training (real-world)
- 10-20x faster LLM inference with FP8
- 68% higher memory bandwidth (3.35 TB/s)
- Transformer Engine with FP8 support
- PCIe Gen5 and NVLink 4.0 support
A100 Advantages
- 43% lower power consumption (400W vs 700W)
- 9% lower cost (₹226 vs ₹249 per hour)
- Mature ecosystem and software support
- Proven reliability in production
- Better value for smaller models
Real-World Performance Gains (H100 vs A100)
Which GPU Should You Choose?
Choose H100 if you:
- • Need maximum AI/ML performance
- • Work with large language models (70B+ parameters)
- • Require FP8 precision for inference
- • Can utilize the extra performance gains
- • Need cutting-edge features like Transformer Engine
Choose A100 if you:
- • Want better cost efficiency
- • Have power consumption constraints
- • Work with smaller to medium models
- • Need proven, stable technology
- • Don't require FP8 precision
Ready to Deploy Enterprise AI?
Launch H100 GPUs instantly. Proven performance, reliable infrastructure.