H200 vs B200 vs Blackwell Pro: Which GPU Should Your Indian AI Team Rent in 2026?

You Are Paying for the Wrong GPU. Here Is How to Fix It.
Every AI team in India is asking the same question right now: "Which GPU should we rent?" The answer changes every quarter. Prices shift. New models drop. Your workload from six months ago is not your workload today.
If you pick wrong, you overpay by 40-60% or end up with a GPU that cannot fit your model. If you pick right, you get better performance at half the cost of hyperscalers.
Here is the real comparison, with real numbers, for Indian teams.
The Three Contenders
| GPU | Memory | Bandwidth | Architecture | Best For |
|---|---|---|---|---|
| NVIDIA H200 | 141GB HBM3e | 4.8 TB/s | Hopper | Large model inference, fine-tuning |
| NVIDIA B200 | 192GB HBM3e | 8 TB/s | Blackwell | Frontier training, massive inference |
| Blackwell Pro 6000 ADA | 96GB GDDR7 | 1.8 TB/s | Blackwell | Training, fine-tuning, cost-efficient inference |
The H200 was the king of 2025. 141GB of HBM3e memory handled GPT-4 class models comfortably. But the B200 changed the game: 192GB HBM3e, 8 TB/s bandwidth, and roughly 2x the throughput of an H200 on transformer workloads. The Blackwell Pro 6000 ADA sits in between - less memory but newer architecture, built for teams that want Blackwell performance without the B200 price tag.
Real Pricing for Indian Teams (July 2026)
Here is what you actually pay. Indian providers publish INR pricing with GST invoices. Global cloud providers charge in USD and you eat the forex + 18% GST.
| GPU | Indian Provider (INR/hr) | Global Neocloud (USD/hr) | AWS/Azure (USD/hr) |
|---|---|---|---|
| H200 | ₹250 - ₹450 | $2.20 - $4.50 | $8 - $12 |
| B200 | ₹350 - ₹600 | $3.70 - $7.15 | $14 - $16 |
| Blackwell Pro 6000 ADA | ₹150 - ₹300 | $1.80 - $3.50 | N/A |
Indian providers are 40-60% cheaper than hyperscalers for the same silicon. The GPU is identical. What you save: forex markup, India-to-India latency, and GST-compliant invoicing without the currency headache.
Which GPU for Which Workload?
Pick H200 if: You run production inference on models like Llama 3 70B, Mixtral 8x7B, or GPT-4 class. 141GB fits these models with room for KV cache and batching. The H200 is the safest choice for teams that need reliability over bleeding-edge speed.
Pick B200 if: You train large models from scratch, run frontier-scale inference, or need maximum tokens-per-second. The 2x throughput over H200 means your training job finishes in half the time. But the price premium means you need sustained utilization above 60% to justify it.
Pick Blackwell Pro 6000 ADA if: You fine-tune models, run medium-scale inference, or want Blackwell architecture at a reasonable price. 96GB fits Llama 3 70B comfortably. If your model fits in 96GB, you save 40-50% versus an H200 for comparable speed on the newer architecture.
The TCO Math
Say your team runs fine-tuning jobs on Llama 70B, 8 hours a day, 25 days a month.
- H200 at ₹350/hr: 200 hours × ₹350 = ₹70,000/month
- Blackwell Pro at ₹225/hr: 200 hours × ₹225 = ₹45,000/month
- B200 at ₹500/hr: 200 hours × ₹500 = ₹1,00,000/month
The Blackwell Pro saves you ₹25,000/month over the H200 for the same workload. The B200 costs more but delivers 2x throughput - if your jobs are throughput-bound, you finish in half the time and the cost difference shrinks.
The India Advantage You Are Not Using
Most Indian teams default to AWS Mumbai or GCP Delhi for GPU instances. They pay the hyperscaler premium plus forex conversion plus GST. Total markup: 80-120% over an Indian GPU cloud provider.
Indian providers like ServerGurus operate from Tier IV datacenters in Hyderabad with direct peering to Bangalore (8-12ms), Chennai (12-18ms), and Mumbai. Same NVIDIA silicon. INR billing. No forex line item on your invoice.
If your team is in India and your users are in India, your GPU should be in India.
How ServerGurus Helps
We rent NVIDIA L40S and Blackwell Pro 6000 ADA GPUs from the CtrlS Tier IV facility in Hyderabad. Custom configurations, root access, INR billing with GST invoices. No quota limits. No waiting lists. No forex.
If you need H200 or B200-class hardware, we will source it and quote you a price that makes hyperscaler bills look like a mistake.
What to Do Next
- Check your current GPU bill. Find the forex line item.
- Calculate how many hours you actually use per month.
- Compare against Indian provider pricing at the rates above.
If the math says you are overpaying, talk to us. We will quote you a GPU configuration that costs less and runs faster.