GPU cloud pricing in taka
Different GPU, different rate.

These are demand-study estimates, not final launch prices. Rates may change with capacity, FX and tax treatment.

AI ComputerMemoryArchitectureIndicative / hour40 hoursPer promptPer image
NVIDIA L4Fast inference, video AI, efficient fine-tuning24 GBAda৳147৳5,880≈ 2.3 paisa≈ 53 paisa
NVIDIA A10Rendering, vision, medium training workloads24 GBAmpere৳196৳7,840≈ 2.5 paisa≈ 54 paisa
NVIDIA L40SGenerative AI, rendering, larger fine-tunes48 GBAda৳343৳13,720≈ 1.8 paisa≈ 43 paisa
NVIDIA A100LLM fine-tuning, research, high-throughput training80 GBAmpere৳638৳25,520≈ 2.5 paisa≈ 71 paisa
NVIDIA H100Large model training, transformer workloads, HPC80 GBHopper৳1,047৳41,880≈ 2.1 paisa≈ 73 paisa
NVIDIA H200Memory-heavy LLMs, retrieval, frontier research141 GBHopper৳1,390৳55,600≈ 2.4 paisa≈ 89 paisa
NVIDIA B200Next-gen Blackwell: large-LLM training and the fastest inference180 GBBlackwell৳1,652৳66,080≈ 1.6 paisa≈ 69 paisa
NVIDIA B300Most powerful: 288 GB for trillion-parameter models and reasoning AI288 GBBlackwell Ultra৳1,880৳75,200≈ 1.5 paisa≈ 68 paisa

Per-prompt and per-image figures are rough equivalents: a prompt is one ~500-token answer from an 8B open model (Llama/Qwen class) and an image is one 1024×1024 SDXL-class image, with the AI Computer kept busy. An idle AI Computer still bills by the hour, so light use costs more per prompt.

Indicative pricing: Displayed BDT rates use current infrastructure, service and applicable-tax assumptions. Storage, network transfer and special software may be separate.