NVIDIA A100 GPU
rental in Bangladesh
Ampere · 80 GB HBM2e
The NVIDIA A100 is an NVIDIA Ampere data-centre GPU with 80 GB of HBM2e memory. On ComputeBD you rent it by the hour, work in Jupyter in your browser and pay in taka.
LLM fine-tuning, research, high-throughput training
INDICATIVE RATE৳638*/GPU hour*estimate, depends on market rates
SPECIFICATIONS
NVIDIA A100 GPU specs
| Memory | 80 GB HBM2e |
|---|---|
| Memory bandwidth | 2.0 TB/s |
| FP16 / BF16 Tensor | 624 TFLOPS |
| FP8 Tensor | Not supported |
| Architecture | Ampere |
| Interconnect | NVLink 600 GB/s |
| Form factor | SXM |
Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: A100.
MONTHLY COST
What does the NVIDIA A100 cost per month?
| Usage | Example | Indicative cost |
|---|---|---|
| 10 hours | A weekend experiment | ৳6,380 |
| 40 hours | A thesis or project month | ৳25,520 |
| 100 hours | Regular weekly training | ৳63,800 |
| 176 hours | Weekdays, 8 hours a day | ৳112,288 |
Calculated as ৳638 × 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 A100 — and when not to
Pick it if: You fine-tune LLMs for a thesis or product, need 80 GB of fast HBM memory, or want a proven training GPU at a lower rate than the H100.
Choose another GPU if: You need FP8 or the fastest training per hour — the H100 can finish many transformer training jobs in roughly half the time.
What fits in memory (roughly): 32B in FP16, 70B at 8-bit (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 A100 in Bangladesh?
About ৳638 per GPU hour, so roughly ৳25,520 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 A100 have?
80 GB of HBM2e memory at 2.0 TB/s. As a rough guide it fits: 32B in FP16, 70B at 8-bit (tight).
What is the NVIDIA A100 good for?
LLM fine-tuning, research, high-throughput training. You fine-tune LLMs for a thesis or product, need 80 GB of fast HBM memory, or want a proven training GPU at a lower rate than the H100.
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 A100 and other GPUs
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