Scientific rover built through SolidCraft MCP: editable CAD, website and splash artwork, videos, and a reproducible performance workload.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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.
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
Modern networking and security platform providing secure access and connectivity to apps, infrastructure, and AI workloads. Connect and protect your users.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
OceanBase is the unified distributed database for the AI era β open-source, multi-model, one engine for your most demanding workloads.
A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/
The Modern Application Platform.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Cost monitoring for Kubernetes workloads and cloud costs
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 Actors are the primitive for stateful workloads. Built for AI agents, collaborative apps, and durable execution.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Automated management of large-scale applications on Kubernetes (incubating project under CNCF)
Cerbos is an open-core authorization management platform for authorizing every identity and governing every action across applications, gateways, workloads, and AI agents.
Slurm: A Highly Scalable Workload Manager
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.
agent-sandbox enables easy management of isolated, stateful, singleton workloads, ideal for use cases like AI agent runtimes and reinforcement learning (RL).
An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.
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.
MongoDB-compatible database engine for cloud-native and open-source workloads. Built for scalability, performance, and developer productivity.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
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 β powering next-generation BI and AI workloads.
Cruise-control is the first of its kind to fully automate the dynamic workload rebalance and self-healing of a Kafka cluster. It provides great value to Kafka users by simplifying the operation of Kafka clusters.
Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.
Runtime Security Enforcement System. Workload hardening/sandboxing and implementing least-permissive policies made easy leveraging LSMs (LSM-BPF, AppArmor).
Apache BookKeeper - a scalable, fault tolerant and low latency storage service optimized for append-only workloads
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 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.
Deploy workloads from Git to large fleets of Kubernetes clusters
KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale
Kepler (Kubernetes-based Efficient Power Level Exporter) is a Prometheus exporter that measures energy consumption at the Kubernetes Pod and Node level. It reads hardware sensors, attributes power to containers, and gives per-workload visibility into where energy goes. Let's make every watt matter.
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
Facilitates running Wasm / WASI workloads managed by containerd
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
CLI for determining the cost of Kubernetes workloads
AWS SaaS Boost is a ready-to-use toolset that removes the complexity of successfully running SaaS workloads in the AWS cloud.
Edge.js is a secure JavaScript runtime, designed for Edge computing and AI workloads
Deploy a multi-account cloud foundation to support highly-regulated workloads and complex compliance requirements.
Apache ORC - the smallest, fastest columnar storage for Hadoop workloads
An egress firewall for untrusted workloads.
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 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
The AWS Workload Credentials Provider (formerly the AWS Secrets Manager Agent) is a client-side solution that helps you standardize how you consume credentials from AWS services across your compute environments.
Kube Startup CPU Boost is a controller that increases CPU resource requests and limits during Kubernetes workload startup time
Hwameistor is an HA local storage system for cloud-native stateful workloads.
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.
A multi-cluster batch queuing system for high-throughput workloads on Kubernetes.
Matchlock secures AI agent workloads with a Linux-based sandbox.
Venice, Derived Data Platform for Planet-Scale Workloads.
My tools for the Slurm HPC workload manager
Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.
Add-on for KEDA to scale HTTP workloads
Cross-Platform Micro-VM Sandbox for Agentic Workloads
sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Live support: https://discord.com/invite/GH5kRgv6ZD
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 β protecting workloads including AI Agents.
TUI for the Slurm Workload Manager