Massive Memory
192GB HBM3e memory capacity
8 TB/s memory bandwidth
2.2 PFLOPS FP16 performance
Blackwell Architecture
208B transistors (dual-die)
2nd Gen Transformer Engine
FP4 Native precision support
Built to Scale
NVLink 5.0 1.8 TB/s bandwidth
8-GPU configurations available
20 PFLOPS FP4 AI compute
B200 Powers Next-Gen AI Workloads
From training frontier models to serving billions of requests. Built for the most demanding AI applications at unprecedented scale.
Detailed Pricing Options
View all pricing tiers and configurations for B200
| Configuration | Hourly/On-Demand | Monthly | Annually |
|---|---|---|---|
1x NVIDIA B200Most Popular | ₹430/hr | ₹2,99,300 | ₹30,66,000 |
2x NVIDIA B200 | ₹860/hr | ₹5,98,600 | ₹61,32,000 |
4x NVIDIA B200 | ₹1,720/hr | ₹11,97,200 | ₹1,22,64,000 |
8x NVIDIA B200 | ₹3,440/hr | ₹23,94,400 | ₹2,45,28,000 |
All prices in INR • Billed monthly
Need custom configuration?Contact Sales →
NVIDIA B200 vs H200 Comparison
Detailed side-by-side comparison of specifications, performance, and pricing between the NVIDIA B200 and H200 GPUs.
| Specification | NVIDIA B200192GB HBM3e | NVIDIA H200141GB HBM3e | Advantage | |
|---|---|---|---|---|
| Memory | Capacity | 192GB HBM3e | 141GB HBM3e | B200 +36% |
| Bandwidth | 8 TB/s | 4.8 TB/s | B200 +67% | |
| Memory Type | HBM3e | HBM3e | Equal | |
| Performance | Architecture Generation | Blackwell (Next-Gen) | Hopper | |
| FP16 Performance | 2.2 PFLOPS | 3,958 TFLOPS | B200 +40% | |
| FP4 AI Performance | 20 PFLOPS | Not supported | ||
| Architecture | GPU Architecture | NVIDIA Blackwell | NVIDIA Hopper | |
| Chip Design | Dual-die (208B transistors) | Single-die GH100 | ||
| Transformer Engine | 2nd Generation (FP4) | 1st Generation | ||
| NVLink Generation | NVLink 5.0 (1.8 TB/s) | NVLink 4.0 (900 GB/s) | B200 +100% | |
| AI/ML | LLM Inference Speed | Up to 2.5x faster | Baseline | B200 +150% |
| Memory for Models | 192GB available | 141GB available | B200 +36% | |
| Frontier Model Support | Trillion+ parameters | 405B parameters | ||
| Pricing | On-Demand (per hour) | ₹460 | ₹300 | H200 +53% |
| 1 Month Commitment | ₹395 | ₹240 | H200 +64% | |
| Price/Performance | Best for frontier AI | Better value for most | Equal | |
B200 Advantages
- 36% more memory (192GB vs 141GB)
- 67% higher memory bandwidth (8 TB/s)
- Native FP4 support with 20 PFLOPS AI compute
- Up to 2.5x faster LLM inference
H200 Advantages
- 53% lower cost per hour (₹300 vs ₹460)
- Excellent performance for most AI workloads
- More mature ecosystem and tooling
- 141GB memory sufficient for most models
Which GPU Should You Choose?
Choose B200 if you:
- • Need maximum memory capacity (192GB)
- • Training frontier-scale AI models
- • Require FP4 precision for fastest inference
- • Building next-gen AI applications
Choose H200 if you:
- • Want better cost efficiency (53% cheaper)
- • 141GB memory meets your requirements
- • Need proven reliability and ecosystem
- • Running production LLM inference at scale
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