WorkOS

Drop-in authentication for modern JavaScript apps

Clerk is a complete authentication and user management platform for React, Next.js, and modern JavaScript frameworks. It provides pre-built UI for sign-in, sign-up, user profiles, organizations, MFA, passkeys, JWT sessions, webhooks, and billing. The Hobby plan supports up to 50,000 monthly retained users per app, with Pro, Business, and Enterprise tiers for growing teams.

Drag-and-drop authentication flows with visual workflow builder

Descope is an authentication platform featuring a visual drag-and-drop flow builder for designing login and signup experiences. It supports passwordless authentication, social login, MFA, SAML SSO, and passkeys. Raised $53M Series A to build no-code identity workflows. SDKs for web, mobile, and backend with pre-built UI components that reduce auth implementation to minutes.

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.