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 chip render
INDICATIVE RATE৳1,652*/GPU hour*estimate, depends on market rates
MEMORY180 GB
ARCHITECTUREBlackwell
10 HOURS৳16,520
40 HOURS৳66,080
100 HOURS৳165,200
SPECIFICATIONS

NVIDIA B200 GPU specs

Memory180 GB HBM3e
Memory bandwidth8 TB/s
FP16 / BF16 Tensor4,500 TFLOPS
FP8 Tensor9,000 TFLOPS
ArchitectureBlackwell
InterconnectNVLink 1.8 TB/s
Form factorSXM

Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: B200.

MONTHLY COST

What does the NVIDIA B200 cost per month?

UsageExampleIndicative cost
10 hoursA weekend experiment৳16,520
40 hoursA thesis or project month৳66,080
100 hoursRegular weekly training৳165,200
176 hoursWeekdays, 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.

WHICH ONE SHOULD I PICK?

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.

JUPYTER WORKFLOW
01Open workspace
02Choose a GPU
03Attach code and data
04Run and monitor usage
05Save outputs and stop the GPU

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.