JarvisCloud
Training DL models need not be expensive or complicated.
JarvisCloud launched on April 11, 2021 with 6 votes, #1,456 of 3,754 launches that month. The site was still online in September 2026, 5 years on.
What it does
1 👆 GPU platform that offers optimized deep learning instances in less than 30 seconds at unseen prices. You can also 🚀 Scale GPUs 🚀 Change GPU type 🚀 Change Storage 🚀 Pause programatically. on any of your instances in few clicks.
Rent NVIDIA H200 GPUs with 141GB memory at $3.99/hr for LLM training and inference. On-demand access, per-minute billing. H100 GPUs also available.
From GPU VMs and clusters to model deployments and models as APIs. Build at any layer, on one platform. Same GPUs underneath. Pick how much of the stack you want to own. Root-access VMs, ready-to-run Templates, and clusters up to thousands of GPUs. Dedicated GPU VMs with root SSH from minute one. Run your own Docker or Kubernetes, custom kernels and drivers, up to 8 GPUs per VM. PyTorch, ComfyUI and more, pre-built and live in 1.8 seconds. Work over JupyterLab, VS Code or SSH, with storage that persists across stop and start. Launch an Instant Cluster from the dashboard, or reserve 128 to 1,024+ GPUs on InfiniBand with capacity confirmed by our team. Network storage that mounts on any…from jarvislabs.ai
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