NVIDIA H200 GPU
rental in Bangladesh
Hopper · 141 GB HBM3e
The NVIDIA H200 is an NVIDIA Hopper data-centre GPU with 141 GB of HBM3e memory. On ComputeBD you rent it by the hour, work in Jupyter in your browser and pay in taka.
Memory-heavy LLMs, retrieval, frontier research
INDICATIVE RATE৳1,390*/GPU hour*estimate, depends on market rates
SPECIFICATIONS
NVIDIA H200 GPU specs
| Memory | 141 GB HBM3e |
|---|---|
| Memory bandwidth | 4.8 TB/s |
| FP16 / BF16 Tensor | 1,979 TFLOPS |
| FP8 Tensor | 3,958 TFLOPS |
| Architecture | Hopper |
| Interconnect | NVLink 900 GB/s |
| Form factor | SXM |
Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: H200.
MONTHLY COST
What does the NVIDIA H200 cost per month?
| Usage | Example | Indicative cost |
|---|---|---|
| 10 hours | A weekend experiment | ৳13,900 |
| 40 hours | A thesis or project month | ৳55,600 |
| 100 hours | Regular weekly training | ৳139,000 |
| 176 hours | Weekdays, 8 hours a day | ৳244,640 |
Calculated as ৳1,390 × hours. Billing is per minute, so you pay only for the time the GPU runs.
WHICH ONE SHOULD I PICK?
When to pick the NVIDIA H200 — and when not to
Pick it if: You need the H100's speed with 141 GB — 70B models at 8-bit with room for long context, bigger batches, or memory-heavy retrieval workloads.
Choose another GPU if: Your model already fits in 80 GB; the H100 does the same compute for less per hour.
What fits in memory (roughly): 70B at 8-bit with room to spare, 70B in FP16 (tight). 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.
JUPYTER WORKFLOW
Common questions
FAQ
How much does it cost to rent an NVIDIA H200 in Bangladesh?
About ৳1,390 per GPU hour, so roughly ৳55,600 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 H200 have?
141 GB of HBM3e memory at 4.8 TB/s. As a rough guide it fits: 70B at 8-bit with room to spare, 70B in FP16 (tight).
What is the NVIDIA H200 good for?
Memory-heavy LLMs, retrieval, frontier research. You need the H100's speed with 141 GB — 70B models at 8-bit with room for long context, bigger batches, or memory-heavy retrieval workloads.
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.
Compare the NVIDIA H200 and other GPUs
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