GoogleCloudPlatform/functions-framework-dart
quality grade C, 63 out of 100FaaS (Function as a service) framework for writing portable Dart functions
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Cluster scheduling, GPU sharing, serverless compute and the distributed execution layer.
Signals: gpu, cuda, distributed-computing, kubernetes, ray, slurm, serverless, hpc
651 results
FaaS (Function as a service) framework for writing portable Dart functions
Host WordPress sites on Vercel, Netlify, or AWS Lambda
一个非常轻量的通知网关,可以聚合各种推送渠道,使用 Serverless 部署,几乎零成本运行。
Extensible auto-tagger for your IaC files. The ultimate way to link entities in the cloud back to the codified resource which created it.
PostgreSQL reengineered for multi-tenant apps
ops - build and run nanos unikernels
The simplest, most powerful way to build a functional web app (fwa)
A programming language for the cloud ☁️ A unified programming model, combining infrastructure and runtime code into one language ⚡
Python Serverless Microframework for AWS
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
A Slurm cluster using docker-compose
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.
CLI tool for linting and testing Helm charts
Ngx - Neural network based visual generator and mixer
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Training and inference on AWS Trainium and Inferentia chips.
This project simplifies the installation process of likelovewant's library, making it easier for users to manage and update their AMD GPU-compatible Ollama installations.
Self-healing edge computing agent with predictive failure detection and partition-resilient orchestration for Kubernetes
Quantized LLM training in pure CUDA/C++.
The Portainer agent
Claude Code template for Spring Boot and other staff (included in the tags)
DFloat11 [NeurIPS '25]: Lossless Compression of LLMs and DiTs for Efficient GPU Inference
LLMs for your CLI
24,535 repositories in the index in total.