What can you do with Jarvislabs.ai?
With Jarvislabs.ai, you can:
- Launch a GPU/CPU-powered instance.
- Pause the instance.
- Resume the instance.
- Change the GPU type, scale GPUs, or storage and resume the instance.
- SSH to an instance.
- Run your own Docker image.
- Deploy your model using Flask/FastAPI.
Choose a modern Nvidia GPU to power your deep learning
We support the latest GPUs based on Nvidia Ampere architecture (2022), which are usually 1.3X - 3X times faster than GPUs based on Turing Architecture. A100 is the fastest GPU, followed by A6000 and A5000.
|A100 - 40GB||7||32GB||$2.39/hr||$0.99/hr||$360/week||$1200/month|
|A6000 - 48GB||7||32GB||$1.79/hr||$0.79/hr||$270/week||$900/month|
|A5000 - 24GB||7||32GB||$1.29/hr||$0.59/hr||$195/week||$650/month|
You can also choose a GPU based on Nvidia Turing Architecture (2019), which offers similar performance to the Nvidia V100 GPU.
|RTX 6000 - 24GB||7||32GB||$0.99/hr||$0.39/hr||$149/week||$500/month|
|RTX 5000 - 16GB||7||32GB||$0.49/hr||$0.19/hr||$75/week||$245/month|
If you need any assistance, say 👋 Hi to the team using the chat option available on the website or send us an email to email@example.com.