Semaphore UI

IaC orchestration layer for scaling Terraform and OpenTofu

Terragrunt is an infrastructure-as-code orchestration tool that wraps Terraform and OpenTofu to keep configurations DRY, manage remote state, and coordinate multi-module deployments. The 1.0 release introduced stacks, filters, run reports, and backward compatibility guarantees after 900+ releases and tens of millions of infrastructure deployments. It provides a thin orchestration layer that eliminates duplication across environments without replacing the underlying IaC tools.

Open-source control plane for AI workloads across multi-cloud GPU infrastructure

dstack is an open-source platform that orchestrates AI training and inference workloads across heterogeneous GPU infrastructure spanning multiple clouds, Kubernetes clusters, and bare-metal servers. It abstracts away cloud-specific APIs so teams define GPU requirements declaratively and dstack automatically provisions the cheapest available resources from AWS, GCP, Azure, Lambda, or on-premises hardware.

Trusted runtime environments for AI agents in production infrastructure

Teleport Beams provides cryptographically verified, policy-gated access for AI agents to interact with production infrastructure including servers, Kubernetes clusters, and databases. Launched at KubeCon EU 2026, Beams extends Teleport's zero-trust access platform with agent-specific runtime controls, audit trails, and policy enforcement to ensure AI agents operate within defined boundaries when deployed in production environments.

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.