velda-io/velda

Run ML workloads seamlessly on cloud TPUs and GPUs with a single Python decorator. No infrastructure management required.

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

Ultrafast serverless GPU inference, sandboxes, and background jobs

Platform for deploying and routing GPU-accelerated inference, streaming, and batch workloads at scale.

The world's simplest distributed computing framework.

Open-source command-line tool to run batch computing tasks and workflows on backend services such as Google Cloud.

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, Gaudi NPU, Google TPU, GraphCore IPU and other NPUs.

The CLI for GPUs

Aggregates compute from spare GPU capacity