NVIDIA L4 GPU
rental in Bangladesh

The NVIDIA L4 is an NVIDIA Ada data-centre GPU with 24 GB of GDDR6 memory. On ComputeBD you rent it by the hour, work in Jupyter in your browser and pay in taka.

Fast inference, video AI, efficient fine-tuning

NVIDIA L4 GPU chip render
INDICATIVE RATE৳147*/GPU hour*estimate, depends on market rates
MEMORY24 GB
ARCHITECTUREAda
10 HOURS৳1,470
40 HOURS৳5,880
100 HOURS৳14,700
SPECIFICATIONS

NVIDIA L4 GPU specs

Memory24 GB GDDR6
Memory bandwidth300 GB/s
FP16 / BF16 Tensor242 TFLOPS
FP8 Tensor485 TFLOPS
ArchitectureAda
InterconnectPCIe Gen4
Form factorPCIe

Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: L4.

MONTHLY COST

What does the NVIDIA L4 cost per month?

UsageExampleIndicative cost
10 hoursA weekend experiment৳1,470
40 hoursA thesis or project month৳5,880
100 hoursRegular weekly training৳14,700
176 hoursWeekdays, 8 hours a day৳25,872

Calculated as ৳147 × 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 L4 — and when not to

Pick it if: You want to serve a chatbot or API on an 8B model (Llama 3.1 8B, Qwen 2.5 7B), run Whisper or do QLoRA fine-tunes of small models at the lowest hourly cost.

Choose another GPU if: Your model is bigger than about 13B at 4-bit, or you need fast training — 24 GB and 300 GB/s become the bottleneck.

What fits in memory (roughly): 8B in FP16, about 30B at 4-bit. 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 L4 in Bangladesh?

About ৳147 per GPU hour, so roughly ৳5,880 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 L4 have?

24 GB of GDDR6 memory at 300 GB/s. As a rough guide it fits: 8B in FP16, about 30B at 4-bit.

What is the NVIDIA L4 good for?

Fast inference, video AI, efficient fine-tuning. You want to serve a chatbot or API on an 8B model (Llama 3.1 8B, Qwen 2.5 7B), run Whisper or do QLoRA fine-tunes of small models at the lowest hourly cost.

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.