Supercharge your Gaianet node by generating a vector knowledge base from any API. Demo slides: https://hackmd.io/@santteegt/ByoykY4nC#/ Link to Docs below
Deploy a cloud instance to host the Gaia node for enhanced scalability and stability.
[ ] Determine the necessary hardware requirements to handle the data load
[ ] Select a cloud vendor based on cost, performance, and compatibility
[ ] Verify the Gaia node configuration on new infrastructure
Enterprise General System Requirements
Operating System: Windows need WSL, Mac, Linux
GPU: 12GB (Nvidia or Apple Silicon), AMD not yet supported
Processor: 4 vCPUs (g4dn.xlarge runs well)
RAM: 16GB
Storage: 20GB (Depending on the model you want to use)
Network: Internet
Recommended Specifications
CPU: Intel Core i7 or AMD Ryzen 7 or equivalent (64-bit)
RAM: 32-64GB
Storage: 1TB SSD
GPU: NVIDIA GeForce RTX 3070 or equivalent
Deploy a cloud instance to host the Gaia node for enhanced scalability and stability.
Enterprise General System Requirements
Operating System: Windows need WSL, Mac, Linux GPU: 12GB (Nvidia or Apple Silicon), AMD not yet supported Processor: 4 vCPUs (g4dn.xlarge runs well) RAM: 16GB Storage: 20GB (Depending on the model you want to use) Network: Internet
Recommended Specifications
CPU: Intel Core i7 or AMD Ryzen 7 or equivalent (64-bit) RAM: 32-64GB Storage: 1TB SSD GPU: NVIDIA GeForce RTX 3070 or equivalent