NVIDIA B200 GPU
rental in Bangladesh
The NVIDIA B200 is an NVIDIA Blackwell data-centre GPU with 180 GB of HBM3e memory. On ComputeBD you rent it by the hour, work in Jupyter in your browser and pay in taka.
Next-gen Blackwell: large-LLM training and the fastest inference

NVIDIA B200 GPU specs
| Memory | 180 GB HBM3e |
|---|---|
| Memory bandwidth | 8 TB/s |
| FP16 / BF16 Tensor | 4,500 TFLOPS |
| FP8 Tensor | 9,000 TFLOPS |
| Architecture | Blackwell |
| Interconnect | NVLink 1.8 TB/s |
| Form factor | SXM |
Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: B200.
What does the NVIDIA B200 cost per month?
| Usage | Example | Indicative cost |
|---|---|---|
| 10 hours | A weekend experiment | ৳16,520 |
| 40 hours | A thesis or project month | ৳66,080 |
| 100 hours | Regular weekly training | ৳165,200 |
| 176 hours | Weekdays, 8 hours a day | ৳290,752 |
Calculated as ৳1,652 × hours. Billing is per minute, so you pay only for the time the GPU runs.
When to pick the NVIDIA B200 — and when not to
Pick it if: You train large LLMs or need the fastest inference available, with 180 GB per GPU — 70B in FP16 fits on one card.
Choose another GPU if: Your workload fits an H100 or H200; Blackwell costs more per hour and many libraries still tune for Hopper first.
What fits in memory (roughly): 70B in FP16. Check whether your model will run →
The most expensive GPU is not automatically the best. Check that your model fits in memory, how fast you need results, how long it will run and your budget — matching those four gives the lowest cost.
Common questions
How much does it cost to rent an NVIDIA B200 in Bangladesh?
About ৳1,652 per GPU hour, so roughly ৳66,080 for 40 hours. Billing is by the minute and you pay in taka with bKash, no dollar card needed.
How much memory does the NVIDIA B200 have?
180 GB of HBM3e memory at 8 TB/s. As a rough guide it fits: 70B in FP16.
What is the NVIDIA B200 good for?
Next-gen Blackwell: large-LLM training and the fastest inference. You train large LLMs or need the fastest inference available, with 180 GB per GPU — 70B in FP16 fits on one card.
Can I use it from Jupyter?
Yes. You open a Jupyter notebook in the browser, choose the GPU, run your code and stop it with one click when you are done — no server setup.
Is this the final launch price?
No. Pricing is indicative and may change with capacity, exchange rate, tax, storage and network usage.