Cricket & talk-show sentiment
ক্রিকেট ও টক-শো সেন্টিমেন্টBuild a Bangla sentiment dataset from commentary or talk-show transcripts and chart the mood minute by minute.
Open this notebook ↗Read the short write-up →Copied
AI computing for research and scientific workloads
USE CASE
Researchers often need short bursts of expensive compute rather than permanent hardware. On-demand AI Computers can support experiments while keeping the infrastructure footprint small.
COMMON WORKLOADS
Where AI Computer acceleration can help
- CUDA research
- Simulation
- Numerical analysis
- Scientific machine learning
- High-throughput experiments
START IN ONE CLICK
Ready-made notebooks for this
Shared by the ComputeBD team. Open one, change it to fit your work, then run it on an AI Computer — billed by the minute.
RECOMMENDED AI COMPUTER CLASSES
NVIDIA H100
৳1,047*/hrHopper80 GBSXM
Large model training, transformer workloads, HPC
NVIDIA A100
৳638*/hrAmpere80 GBSXM
LLM fine-tuning, research, high-throughput training
NVIDIA L40S
৳343*/hrAda48 GBPCIe
Generative AI, rendering, larger fine-tunes
Tell us your workload and preferred AI Computer.
Join waitlist ↗FREE TOOLS
Plan it before you start
Fine-tuning cost estimator
Model size, data and epochs → hours and cost in ৳. Print a one-page estimate for your supervisor or lab.
→Compare AI ComputersPick two to four AI Computers side by side: memory, speed, the largest model each can run, and the cost in taka.
→“Open in ComputeBD” badgeA button for your GitHub README or notebook: one click opens the .ipynb on a ComputeBD AI Computer.
→