Repository Index

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

• bert
• sentence-encoding
• deep-learning
• clip-model

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

• inference
• gpu
• machine-learning
• deep-learning

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

• pytorch
• llm
• artificial-intelligence
• machine-learning

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

• model-serving
• mlops
• llmops
• generative-ai

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

• machine-learning
• scale
• workflow
• mlops

A framework for efficient model inference with omni-modality models

• diffusion
• inference
• model-serving
• pytorch

Statistical Machine Intelligence & Learning Engine

• machine-learning
• regression
• clustering
• manifold-learning

A flexible, high-performance serving system for machine learning models

• machine-learning
• deep-learning
• deep-neural-networks
• python

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

• knative
• machine-learning
• model-interpretability
• model-serving

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

• ascend
• cuda
• deepseek
• distributed-inference

A blazing fast inference solution for text embeddings models

• ai
• embeddings
• huggingface
• llm

Translatedcube studio is an open-source, cloud-native, one-stop machine learning / deep learning / large model AI platform. It covers the full mlops algorithm pipeline, a computing power rental platform, online notebook development, drag-and-drop task flow pipeline orchestration, multi-machine multi-GPU distributed training, hyperparameter search, inference services with VGPU virtualization, edge computing, a labeling platform with automated labeling, SFT fine-tuning / reward model / reinforcement learning training for large models such as deepseek, multi-machine large model inference with vllm/ollama/mindie, a private knowledge base, and an AI model marketplace. It supports domestic Chinese CPUs/GPUs/NPUs and the Ascend ecosystem, supports RDMA, and supports distributed frameworks such as pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano.

• kubernetes
• inference
• mlops
• workflow

Hopsworks - Data-Intensive AI platform with a Feature Store

• feature-store
• aws
• azure
• data-science