Agent Payments Protocol (AP2)
The Agent Payments Protocol (AP2) is an open specification that lets autonomous AI agents initiate, authorize, and settle payments on behalf of human users.
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The Agent Payments Protocol (AP2) is an open specification that lets autonomous AI agents initiate, authorize, and settle payments on behalf of human users.
Apache MXNet (pronounced "mix-net") was an open-source deep learning framework that combined imperative and symbolic execution in one runtime, created around 2015 by the DMLC (Distributed Machine Learning…
Bittensor is a decentralized machine learning network that uses blockchain-based incentives to pay independent contributors for producing digital commodities such as model inference, training, data, and raw…
Chroma is an open-source embedding database designed for artificial intelligence applications.
DeepEP is an open-source GPU communication library built by DeepSeek for Mixture-of-Experts (MoE) models.
DeepGEMM is an open-source library from DeepSeek that provides fast FP8 general matrix multiplication (GEMM) kernels for NVIDIA Hopper GPUs.
FAISS (Facebook AI Similarity Search) is an open-source library from Meta for efficient similarity search and clustering of dense vectors
FlashInfer is an open-source GPU kernel library and code-generation system for large language model inference.
FlashMLA is an open-source GPU kernel from DeepSeek that accelerates the decoding step of Multi-head Latent Attention (MLA)
Genesis is an open-source, generative physics simulation platform for robotics and embodied AI, released on December 19, 2024 after a roughly two-year (24-month) collaboration involving more than 20 academic…
Horovod is an open-source distributed training framework for deep learning that lets a single-GPU training script scale across many GPUs and many machines by adding only a few lines of code.
KAI Scheduler is an open-source Kubernetes scheduler that optimizes the allocation of GPU resources for artificial intelligence and machine learning workloads.
LMDeploy is an open-source toolkit for compressing, deploying, and serving large language models, developed by the MMRazor and MMDeploy teams associated with the InternLM project at the Shanghai AI Laboratory.
LanceDB is an open-source, developer-friendly vector database and multimodal lakehouse built on the Lance columnar storage format, designed to store vector embeddings, images, video, audio, and structured…
The Linux Foundation is an American 501(c)(6) nonprofit trade association based in San Francisco, California, that supports the development of Linux and other open-source software projects.
Foundry Local is an on-device artificial intelligence runtime from Microsoft that lets applications run open weight language models entirely on a user's own hardware.
Milvus is an open-source vector database built for billion-scale similarity search, developed by Zilliz and governed under the Linux Foundation AI & Data Foundation.
A model hub is an online platform or repository where people discover, share, version, and download machine learning models.
MoonEP is an open-source expert-parallel communication library for mixture-of-experts models, released by Moonshot AI on July 27, 2026 under the MIT License.
Mooncake is a KVCache-centric, disaggregated serving architecture for large language models, built by Moonshot AI together with researchers at Tsinghua University.
NVIDIA Dynamo is an open-source, low-latency distributed inference serving framework designed to deploy and scale generative AI and reasoning models across large GPU clusters.
NVIDIA NeMo Switchyard is an open-source proxy and Rust library for routing requests among configured large language models.
NVIDIA OSMO is an open-source workflow orchestration platform developed by Nvidia for physical AI and robotics development.
OpenRoboto is a robotics model competition that runs as subnet 80 on the Bittensor network.
Qdrant (pronounced "quadrant") is an open-source vector database and similarity search engine written in Rust and designed for high-performance retrieval over high-dimensional data.
RISC-V (pronounced "risk-five") is an open standard instruction set architecture (ISA), the contract that defines which instructions a processor executes and which registers software can see.
Ray is an open-source distributed computing framework, developed at the University of California, Berkeley's RISELab and commercialized by Anyscale, that lets developers scale Python and artificial…
Ray Serve is a scalable, framework-agnostic model serving library built on top of the Ray (framework) distributed computing system.
Slurm is an open-source workload manager and job scheduler for Linux clusters, developed and maintained by SchedMD, which NVIDIA acquired in December 2025 .
Supabase is an open-source backend-as-a-service (BaaS) platform that bundles a hosted PostgreSQL database with authentication, file storage, real-time subscriptions, edge functions, and vector similarity…
ThunderKittens (often abbreviated TK) is an embedded C++ domain-specific language and header-only library for writing high-performance AI kernels on modern NVIDIA GPUs.
UALink (Ultra Accelerator Link) is an open industry standard for scale-up interconnect between AI accelerators that lets up to 1,024 accelerators inside a single pod read and write each other's memory directly…
Ultra Ethernet is an open networking specification that reworks Ethernet into a high performance fabric for large AI training clusters and high performance computing, giving operators an interoperable
Weaviate is an open-source vector database that stores both data objects and their vector embeddings, enabling a combination of vector similarity search with structured filtering, keyword retrieval, and…
XLA (Accelerated Linear Algebra) is Google's open-source machine learning compiler that takes computational graphs from frameworks such as TensorFlow, JAX, and PyTorch and transforms them into highly optimized…
llm-d is an open-source, Kubernetes-native framework for serving large language models in a distributed way at production scale.
pgvector is an open-source PostgreSQL extension that adds vector similarity search to a standard PostgreSQL database, letting developers store, index, and query high-dimensional embeddings using ordinary SQL.