Long headless simulation runs, whole GPUs
Simulation jobs are long, bursty and unforgiving about being interrupted. Meshive gives you a dedicated card, storage that persists between runs, and no queue to wait in.
ROS 2 Jazzy comes as a template
Desktop-Full with the simulation and visualization tools installed, on top of the CUDA stack the image already carries. FEniCSx is there for finite element work and Pangeo for climate and geoscience.
A restart is not a reset
Rollout data, logs and trained policies live on a volume, so stopping a pod costs you the compute and nothing else.
Burst, then go quiet
Twenty pods for a sweep this week and none the next. Per-hour billing does not punish the gap.
Templates for this work
Official images with the drivers and the stack already in place.
- ROS 2 Jazzy
- FEniCSx
- Pangeo PyTorch
- Scientific Python
- Ultralytics YOLO
Cards that suit this work
Every Meshive pod gets a whole, non-virtualized GPU. These are the ones we would reach for first.
- RTX PRO 6000 BlackwellLarge scenes and many parallel environments
- A100 PCIe 80GBLong unattended rollouts
- RTX 4090Fast single-environment iteration
- A4048GB when the scene needs memory more than speed
Three steps
- 1Start from ROS 2 Jazzy, FEniCSx, or your own CUDA simulator image.
- 2Attach a volume for rollout data, logs and checkpoints.
- 3Launch one pod or a sweep of them, headless over SSH.
Also on Meshive
Pick a card and start the pod
Sign up, choose the GPU, and the pod is yours in under two minutes. It bills by the hour and stops when you stop it.
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