NVIDIA B300 GPU
rental in Bangladesh
Blackwell Ultra · 288 GB HBM3e
The NVIDIA B300 is an NVIDIA Blackwell Ultra data-centre GPU with 288 GB of HBM3e memory. On ComputeBD you rent it by the hour, work in Jupyter in your browser and pay in taka.
Most powerful: 288 GB for trillion-parameter models and reasoning AI
INDICATIVE RATE৳1,880*/GPU hour*estimate, depends on market rates
SPECIFICATIONS
NVIDIA B300 GPU specs
| Memory | 288 GB HBM3e |
|---|---|
| Memory bandwidth | 8 TB/s |
| FP16 / BF16 Tensor | 4,500 TFLOPS |
| FP8 Tensor | 9,000 TFLOPS |
| Architecture | Blackwell Ultra |
| Interconnect | NVLink 1.8 TB/s |
| Form factor | SXM |
Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: B300.
MONTHLY COST
What does the NVIDIA B300 cost per month?
| Usage | Example | Indicative cost |
|---|---|---|
| 10 hours | A weekend experiment | ৳18,800 |
| 40 hours | A thesis or project month | ৳75,200 |
| 100 hours | Regular weekly training | ৳188,000 |
| 176 hours | Weekdays, 8 hours a day | ৳330,880 |
Calculated as ৳1,880 × 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 B300 — and when not to
Pick it if: You work with the largest models, very long context or reasoning workloads that need 288 GB on a single GPU.
Choose another GPU if: Your model fits in 180 GB — the B200 delivers similar FP8 throughput for less per hour.
What fits in memory (roughly): 70B in FP16 with long context, about 120B 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.
JUPYTER WORKFLOW
Common questions
FAQ
How much does it cost to rent an NVIDIA B300 in Bangladesh?
About ৳1,880 per GPU hour, so roughly ৳75,200 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 B300 have?
288 GB of HBM3e memory at 8 TB/s. As a rough guide it fits: 70B in FP16 with long context, about 120B in FP16.
What is the NVIDIA B300 good for?
Most powerful: 288 GB for trillion-parameter models and reasoning AI. You work with the largest models, very long context or reasoning workloads that need 288 GB on a single GPU.
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 B300 and other GPUs
NVIDIA B300 vs NVIDIA B200 →NVIDIA L4 GPU · ৳147/hr →NVIDIA A10 GPU · ৳196/hr →NVIDIA L40S GPU · ৳343/hr →NVIDIA A100 GPU · ৳638/hr →NVIDIA H100 GPU · ৳1,047/hr →NVIDIA H200 GPU · ৳1,390/hr →NVIDIA B200 GPU · ৳1,652/hr →GPU cloud in Bangladesh — how it works →Hourly GPU rental — priced in taka →Every GPU price in one table →