ControlMonkey

Infrastructure as Code orchestration and governance platform

env0 is an IaC orchestration platform that manages Terraform, OpenTofu, Pulumi, and CloudFormation workflows with built-in governance, cost estimation, and drift detection. It provides self-service infrastructure provisioning with policy guardrails, automated plan approvals, and budget controls. Supports custom deployment flows with OPA-based policy enforcement and RBAC.

Production-grade Terraform modules and infrastructure library

Gruntwork provides a library of battle-tested, production-grade Terraform modules covering AWS, GCP, and Azure infrastructure patterns. Modules handle networking, compute, databases, security, monitoring, and compliance with best practices built in. Terragrunt, their open-source Terraform wrapper with 15k+ stars, adds DRY configuration, remote state management, and multi-account orchestration.

Heterogeneous CPU-GPU inference and SFT for large MoE models

Open-source framework for running and fine-tuning large Mixture-of-Experts models with heterogeneous CPU-GPU execution, optimized kernels, limited VRAM and SGLang or LLaMA-Factory integrations.

Official Kubernetes and Helm reference stack built on the vLLM inference engine

Official vLLM reference implementation for scaling the existing inference engine on Kubernetes with Helm, request routing, KV-cache offload, autoscaling and Prometheus/Grafana observability.

Distributed inference orchestration above vLLM, SGLang and TensorRT-LLM

Open-source, datacenter-scale orchestration layer that coordinates vLLM, SGLang and TensorRT-LLM across nodes with disaggregated serving, KV-aware routing, multi-tier cache management and automatic scaling.

Open-source GPU control plane for scalable AI model serving

Open-source GPU cluster manager that configures vLLM, SGLang, TensorRT-LLM or custom engines, serves models through compatible APIs, and provisions SSH-accessible GPU instances across on-premises, Kubernetes and cloud environments.

Disaggregated KV cache storage and transfer for LLM serving

Open-source infrastructure for disaggregated LLM serving that pools KV caches across prefill and decode workers, with high-performance transfer, distributed storage and integrations for vLLM and SGLang.

Reusable KV cache infrastructure for scalable LLM inference

Open-source KV cache management layer that persists, offloads and reuses model key-value caches across requests and serving engines to reduce repeated prefill work and improve inference throughput.