openclaw / openclaw-enterprise
The Enterprise-grade Control Plane for modern agentic workloads
openclaw / openclaw-enterprise
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.
GoogolplexGoodenough / FasterGS
FasterGS: Workload-Balanced Gaussian Splatting for Faster Training and Rendering
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.
SivaSaiKrishnaSuryadevara / devops-infra-toolkit
Infrastructure-as-code toolkit (Docker Compose, Kubernetes, Terraform) for deploying containerized services, using the predictive-cicd-remediation project as the reference workload.
openJiuwen-ai / agent-infer
vLLM based inference framework for agentic workload.
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
ricmmartins / azure-sre-agent-skills
Custom proactive skills for Azure SRE Agent — governance, cost intelligence, architecture quality, AI workload posture
sushiterminal / ComputeMempool
ComputeMempool: A Distributed Compute Manager leveraging real-time processing and auto-scaling for adaptive workload optimization.
Belucking / HashBazaar
HashBazaar is a distributed, intelligent data processing framework that auto-scaling for dynamic workload management on a scalable platform.
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.
SlugLab / HBFSim
HBFSim (HBF Sim): an open-source High-Bandwidth Flash (HBF) simulator. Runs real LLM inference on a real GPU and injects modeled HBF timing, capacity and thermal effects while the workload executes.
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
fh6312 / kubeflow-pipeline-forge
Best AI Workload Orchestrator for Kubernetes Python 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.
kai-scheduler / kai-resource-management
KAI Resource Management is an open source Kubernetes-native resource management layer for KAI Scheduler, adding projects, departments, node pools, queues, and workload placement at scale.
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.
HarvardMadSys / chutes_workload
—
microsoft / sqlsimtools
Open-source load testing and benchmarking tools for SQL Server, Azure SQL, and SQL database in Microsoft Fabric: sqlsim, sqlpysim, and sqlsim Studio
shiloz-stack / blackwell-moe-kernel-scheduler
Workload-aware persistent expert-tile scheduling for irregular MoE inference kernels on NVIDIA Blackwell GPUs
Seo-yeonLee / CrewLab
Cloud-Native, microservices-based CrewLab framework leverages containerization and edge-computing for scalable, intelligent, distributed workloads unifier.
DocPang / qwen38-k100ai-int8-optimization
Qwen3.8-27B INT8/W8A8 optimization for Hygon K100AI: SGLang, TP1/TP4, DFlash2 and long-context Agent workloads
arjun988 / GPU-Share
GPUMesh lets people you trust run Docker GPU jobs on your machine — and lets you run jobs on theirs — over authenticated peer-to-peer connections. No SSH, no VPN, no cloud that sees your workload. Pair once, allowlist stays default-deny, jobs stay in containers.
WestWaters / pollard-weights
A tiered-memory system design for workloads that don't fit in RAM: measure the working set, pin the hot tier, stream the cold tier from flash. Ships the residency calculator, measurement harnesses, and the build recipes behind it. Predictions validated against public benchmarks.
9Michael-Cooley / CrewForge
Edge-driven Microservices Architecture orchestrates scalable, intelligent, and distributed workloads within a seamless, adaptive Ecosystem.