Solutions
·Research
Try an idea. Kill it
if it doesn't work. Pay $2.
Researchers use Runcrate to iterate fast. Spin up a Jupyter notebook on an H100, run an ablation study, check the results, and shut it down. No queue, no proposal, no wasted grant money on idle hardware. Paper reproduction, hyperparameter sweeps, and rapid prototyping — all with per-minute billing.
Why Runcrate
Research moves at the speed of your ideas.
Interactive development
Jupyter notebooks and VS Code accessible from your browser. Edit code, visualize results, and iterate without leaving your tab. Full GPU access from cell one.
Paper reproduction
Clone a repo, pip install requirements, and run. Reproduce results from any paper with the exact GPU hardware the authors used. No environment mismatch.
Ablation studies
Spin up multiple instances in parallel to test each variable independently. Compare results side by side. Shut down the losers, keep the winners.
Hyperparameter sweeps
Launch a grid search or Bayesian sweep across GPU instances. Weights & Biases, Optuna, and Ray Tune work out of the box. Track every run automatically.
Pay-per-experiment billing
Run a 20-minute experiment for under $2. No reservations, no minimums. Shut down when the loss plateaus and stop paying instantly. Stretch grant budgets further.
Full root access
SSH in, install custom CUDA kernels, compile from source, run Docker containers. No restrictions. Your research, your environment, your rules.
Hardware
Right-size your
experiment.
Use a cheap GPU for prototyping, scale to an H200 when your idea works. No commitment to switch — just launch a new instance.
L40S48 GB GDDR6XPrototyping & quick testsA10080 GB HBM2eStandard research workloadsH10080 GB HBM3Compute-heavy experimentsH200141 GB HBM3eLarge model researchHow It Works
The research iteration loop.
Spin up an environment
Launch a GPU instance with Jupyter and VS Code in your browser. Clone your repo, install dependencies. You're coding in under 2 minutes.
Run your experiment
Execute training runs, ablations, or sweeps. Monitor metrics live. Launch parallel instances for different configurations if you need to compare.
Save results, shut down
Export notebooks, model weights, and logs to persistent storage. Shut down the instance and stop paying. Spin up again tomorrow when you have a new idea.