ray-project / ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ray-project / ray
pingcap / tidb
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
valkey-io / valkey
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
fosrl / pangolin
Modern networking and security platform providing secure access and connectivity to apps, infrastructure, and AI workloads. Connect and protect your users.
wazuh / wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
oceanbase / oceanbase
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
openebs / openebs
A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
kubevela / kubevela
The Modern Application Platform.
opencost / opencost
Cost monitoring for Kubernetes workloads and cloud costs
cloud-hypervisor / cloud-hypervisor
A Virtual Machine Monitor for modern Cloud workloads. Features include CPU, memory and device hotplug, support for running Windows and Linux guests, device offload with vhost-user and a minimal compact footprint. Written in Rust with a strong focus on security.
rivet-dev / rivet
Rivet Actors are the primitive for stateful workloads. Built for AI agents, collaborative apps, and durable execution.
Eventual-Inc / Daft
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
openkruise / kruise
Automated management of large-scale applications on Kubernetes (incubating project under CNCF)
cerbos / cerbos
Cerbos is an open-core authorization management platform for authorizing every identity and governing every action across applications, gateways, workloads, and AI agents.
redpanda-data / console
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
kubernetes-sigs / agent-sandbox
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
nestybox / sysbox
An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.
ob-f / OpenBot
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
documentdb / documentdb
MongoDB-compatible database engine for cloud-native and open-source workloads. Built for scalability, performance, and developer productivity.
lakehq / sail
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
lakesoul-io / LakeSoul
LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.
kcp-dev / kcp
Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.
apache / bookkeeper
Apache BookKeeper - a scalable, fault tolerant and low latency storage service optimized for append-only workloads
koordinator-sh / koordinator
A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.
gpgpu-sim / gpgpu-sim_distribution
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.
rancher / fleet
Deploy workloads from Git to large fleets of Kubernetes clusters
kai-scheduler / KAI-Scheduler
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
NVIDIA / dgx-spark-playbooks
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
containerd / runwasi
Facilitates running Wasm / WASI workloads managed by containerd
apache / ozone
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
kubecost / kubectl-cost
CLI for determining the cost of Kubernetes workloads
awslabs / aws-saas-boost
AWS SaaS Boost is a ready-to-use toolset that removes the complexity of successfully running SaaS workloads in the AWS cloud.
wasmerio / edgejs
Edge.js is a secure JavaScript runtime, designed for Edge computing and AI workloads
awslabs / landing-zone-accelerator-on-aws
Deploy a multi-account cloud foundation to support highly-regulated workloads and complex compliance requirements.
apache / orc
Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
paradigmxyz / iron-proxy
An egress firewall for untrusted workloads.
Meesho / BharatMLStack
BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale
flashrt-project / FlashRT
FlashRT is a high-performance realtime inference engine for small-batch, latency-sensitive AI workloads. The flagship integration is production VLA control for Pi0, Pi0.5, GROOT N1.6, and Pi0-FAST. Also support llm e.g, qwen3.6-27B
hwameistor / hwameistor
Hwameistor is an HA local storage system for cloud-native stateful workloads.
mlcommons / ck
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
armadaproject / armada
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
jingkaihe / matchlock
Matchlock secures AI agent workloads with a Linux-based sandbox.
linkedin / venice
Venice, Derived Data Platform for Planet-Scale Workloads.
kedacore / http-add-on
Add-on for KEDA to scale HTTP workloads
microsoft / nvx
Cross-Platform Micro-VM Sandbox for Agentic Workloads
spark-arena / sparkrun
sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Live support: https://discord.com/invite/GH5kRgv6ZD
bytedance / vArmor
vArmor is a cloud-native container hardening system that leverages AppArmor/BPF/Seccomp and NetworkProxy technologies to enforce access control from system calls to application protocols — protecting workloads including AI Agents.
openclaw / openclaw-enterprise
The Enterprise-grade Control Plane for modern agentic workloads
RLinf / RLark
Cross-Cluster Embodied Intelligence Cloud-Native Platform. Manage cross-cluster embodied AI workloads with Kubernetes-native CRDs, unified job scheduling, cross-cluster Pod networking, and multi-runtime support.
apimart-66 / openai-compatible-api-migration-kit
OpenAI-compatible API migration kit: drop-in /v1/images/generations and chat examples, a compatibility matrix, rollback switches and a checklist for moving workloads between AI API gateways.
heddles / agent-orca
Agent-orca orchestrates and manages AI agent workloads in Kubernetes, providing distributed execution, model routing, knowledge integration, and tool access through MCP and stdio tools.
PixelML / club-170hx
Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads
manzi689 / cloud-ai-orchestra
OpenCloud AI Orchestrator 2026: Unified Management for Scalable Cloud-Native AI Workloads
Azure / taugrid
Cloud-native AI infrastructure for teams to run, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters, from data preparation to distributed training, fine-tuning, and inference.
EmbrasureAI / spark-observability-skills
Open-source agent skills for debugging and optimizing Apache Spark workloads
Himanshu-giri-01 / k8s-ai-runtime
Streamline AI Workloads on Kubernetes: Universal Python SDK Guide 2026
mitis-cloud / understudy
Best-effort high availability for single-replica Kubernetes workloads: no downtime from announced node disruptions (drains, upgrades, consolidation, spot reclaims) without a standing second replica.
hyudryu / DGX-Spark-Fan-Shroud
Fan Shroud for the Spark platform, for improved cooling performance on long workloads. Full STL/STEP files + electronics schematics
OpenPerfAgent / who-ate-my-flops
A small plugin for Claude Code and Codex to optimize PyTorch workloads.
Seo-yeonLee / CrewLab
Cloud-Native, microservices-based CrewLab framework leverages containerization and edge-computing for scalable, intelligent, distributed workloads unifier.