AGAgent Substrate
Kubernetes-based system for managing agent workloads at scale, multiplexing many stateful actors onto fewer pods with sub-second activation and persistent state.
Cloud-native AI platform capabilities and infrastructure.
Kubernetes-native AI infrastructure and scheduling.
AGKubernetes-based system for managing agent workloads at scale, multiplexing many stateful actors onto fewer pods with sub-second activation and persistent state.
DSVendor-agnostic orchestration for training, inference, and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
FLElastic data abstraction and acceleration layer for BigData/AI applications on Kubernetes, enabling efficient data access through distributed caching.
GPAn ultra-lightweight GPU management and Model-as-a-Service (MaaS) platform that pools bare-metal servers, public cloud instances, and private cloud VMs into one heterogeneous cluster across NVIDIA, AMD, Ascend, PPU, Hygon, and Apple Silicon accelerators, serving models behind an OpenAI-compatible endpoint.
HOAn AI agent platform for cloud-native environments that automates alert investigation, root cause analysis, and remediation suggestions.
K8An AI tool that provides diagnostic and analysis capabilities for Kubernetes, using LLM to locate and explain cluster issues.
NVNVIDIA AI Cluster Runtime (AICR) generates optimized, validated, and reproducible GPU-accelerated Kubernetes cluster configurations for AI training and inference.
NVNVIDIA GPU Operator automates deployment, configuration, and management of GPU components and drivers in Kubernetes.
NVAn open-source AI workload and GPU orchestration platform for Kubernetes, combining GPU-aware scheduling, fractional GPU allocation, quotas, governance, and observability to share GPU resources efficiently across teams and clusters.
OLAn open-source personal cloud OS built on Kubernetes, enabling self-hosted AI agents, local model serving, and private data sovereignty.
OPA scalable, feature-rich web interface for interacting with large language models, providing a ChatGPT-like experience with support for multiple models and customization options.
TACloud-native AI infrastructure that runs, schedules, and monitors AI workloads on GPU-enabled Kubernetes clusters, from data preparation to distributed training, fine-tuning, and inference.
UNCloud-native observability for the high-speed networks of AI clusters, covering RDMA, RoCE/InfiniBand, and NVLink, and attributing network traffic to Kubernetes workloads.
VMVM Operator enables management of virtual machines with a Kubernetes-style, declarative API. It turns VMs into first-class Kubernetes resources so platform teams can offer self-service virtual infrastructure.
VOVolcano is a Kubernetes-native batch scheduling system (a CNCF project) that enhances kube-scheduler with advanced features for batch, HPC, and AI workloads.
Data platforms, lakehouse stacks, and data services.
3FA high-performance distributed file system designed for AI training and inference workloads, optimizing parallel I/O and data locality to support large-scale training.
AIAn open-source tool that integrates an interactive Python environment with LLMs for natural-language-driven Python execution and automation.
APApache Doris is an easy-to-use, high-performance unified analytics database for real-time and offline analysis.
APA high-performance table format for huge analytic tables, offering snapshots, transactions and multi-engine compatibility. Widely used in AI data pipelines and ML feature stores.
APA unified analytics engine for large-scale data processing, supporting batch, streaming and machine learning workloads.
APAn open-source data visualization and exploration platform supporting interactive dashboards, SQL-based analysis, and multiple data sources.
CUA GPU DataFrame library for accelerating data analysis and tabular computing with GPU acceleration.
CVCVAT is an industry-leading computer vision annotation tool suitable for annotation at any scale.
DAA cloud-native orchestration and development platform for data assets, with strong observability and a developer-friendly programming model.
DADask is a Python library for parallel computing and task scheduling, suited for scaling NumPy, Pandas and machine learning workloads across clusters.
DAETL, analytics, and versioning for unstructured data to build reproducible and auditable data pipelines.
DAA data preparation and pipeline platform for domain training and retrieval-augmented generation.
DODocuTranslate is a lightweight document translation tool leveraging LLMs and multiple parsing engines.
DUAn analytical, in-process SQL database suited for interactive queries, ETL, and local analytics.
JUInteractive computing environment widely used for data science and machine learning development.
LALabel Studio is a multi-type data labeling and annotation tool with standardized output formats.
PRProton is a single-binary C++ high-performance SQL stream processing engine designed for real-time analytics and stream ETL.
UNA no-code LLM platform to convert unstructured documents into structured data and quickly launch APIs and ETL pipelines.
VAA high-performance distributed key-value database optimized for caching and real-time workloads.
Security policy, access control, and compliance tooling.
AGA toolkit for policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents, covering all 10 OWASP Agentic Top 10 risks.
BAOpen-source A2B control plane based on Agent Capability Contracts for safely connecting agents to existing business systems.
STOpen-source AI penetration testing tool that finds and fixes your application's vulnerabilities with autonomous security agents.
Deployment pipelines and operations tooling.
CSAn open-source platform for LLM asset and lifecycle management, offering SaaS and on-premise deployment with Python SDK compatibility.
KIKitOps is a CNCF-backed open-source project that standardizes packaging AI/ML projects into signable, versioned OCI artifacts.
LMLMDeploy is a toolkit for compressing, deploying and serving large language models, providing optimized inference engines, quantization and distribution features.
MLMLC LLM is a machine learning compiler and deployment engine that enables high-performance LLM inference across platforms using compilation and runtime optimizations.
MLMLflow is an open-source platform for managing the machine learning lifecycle, including experiment tracking, packaging, model registry and deployment.
MLMLRun is an open-source MLOps platform for building and managing continuous ML applications across their lifecycle.
MLAn array framework for machine learning optimized for Apple Silicon, offering NumPy-like Python APIs plus C++, C and Swift bindings.
WOworkerd is Cloudflare's open-source JavaScript/Wasm server runtime designed to run Workers-compatible nanoservices and edge applications in local or self-hosted environments.
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