Ranked by total raised · 25 of 52 on the roster · Updated Oct 27, 2026
Together these 25 have raised $34.5B. Cerebras leads with $8.3B, followed by Nscale ($6.6B) and Lambda ($3.7B).
Cerebras builds wafer-scale AI chips with millions of cores optimized for large-scale model training and inference.
Nscale operates a vertically integrated AI cloud platform delivering GPU clusters for large-scale model training and inference, built on its own renewably powered data centers and networking infrastructure.
GPU cloud and on-prem AI hardware vendor for deep-learning training and inference.
Hyperscale GPU cloud purpose-built for AI training and inference workloads.
Vertically integrated AI cloud pairing low-cost energy with GPU data centers for training and inference.
Global edge network providing CDN, DDoS and application security, DNS, and Workers serverless compute from data centers in hundreds of cities worldwide.
AI acceleration cloud for training and inference on open-source models.
Serverless GPU compute that lets engineers run Python at scale with sub-second container starts and per-second billing.
Frontend cloud built around Next.js, providing global edge deployment, serverless and edge functions, and AI tooling including the v0 agent and AI SDK.
AI cloud that aggregates large GPU clusters for frontier labs and enterprises.
Inference infrastructure for deploying, serving, and scaling ML models in production.
AMD-first GPU cloud built on Instinct accelerators as an alternative to Nvidia compute.
Builds ruggedized modular and containerized data centers plus a software stack for edge computing, remote AI, and connectivity in austere locations.
Developer-focused edge cloud platform combining a global CDN with Compute, a WebAssembly-based serverless runtime for running logic at the network edge.
Generative-media inference cloud giving developers fast API access to diffusion, image, video, and audio models.
Independent global cloud with broad data-center reach, offering compute, bare metal, and on-demand Cloud GPU.
High-throughput inference cloud for serving and fine-tuning open-source AI models.
Unified PaaS that deploys web services, static sites, databases, and cron jobs straight from a Git repo.
Web development and deployment platform that pioneered the Jamstack architecture, pairing a global edge network with continuous deployment, serverless and edge functions.
Developer-focused cloud offering simple VMs, managed databases, Kubernetes, and Paperspace GPU compute.
Enterprise platform for managing Kubernetes clusters across public cloud, data center, bare metal, and edge environments from a single control plane.
Inference cloud that serves open-source AI models through a low-cost API and dedicated GPU instances.
Developer-loved deployment platform with instant provisioning, observability, and usage-based pricing.
Developer-first GPU cloud offering affordable on-demand and serverless GPU compute for AI workloads.
Run apps and containers close to users on Firecracker microVMs distributed worldwide.