Ranked by total raised · 25 of 40 on the roster
Vertically integrated hyperscale AI cloud purpose-built for large-scale model training.
Hyperscale GPU cloud purpose-built for AI training and inference workloads.
Global edge network providing CDN, DDoS and application security, DNS, and Workers serverless compute from data centers in hundreds of cities worldwide.
22 more companies in this ranking, plus every other sort, every roster row, and the full analytical layer behind each profile.
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Vertically integrated AI cloud pairing low-cost energy with GPU data centers for training and inference.
GPU cloud and on-prem AI hardware vendor for deep-learning training and inference.
Inference infrastructure for deploying, serving, and scaling ML models in production.
AI acceleration cloud for training and inference on open-source models.
AI cloud that aggregates large GPU clusters for frontier labs and enterprises.
Frontend cloud built around Next.js, providing global edge deployment, serverless and edge functions, and AI tooling including the v0 agent and AI SDK.
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.
Serverless GPU compute that lets engineers run Python at scale with sub-second container starts and per-second billing.
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.
Cloud-native platform for deploying, securing, and orchestrating distributed edge hardware and AI workloads at scale.
Developer-first GPU cloud offering affordable on-demand and serverless GPU compute for AI workloads.
Developer-loved deployment platform with instant provisioning, observability, and usage-based pricing.
Run apps and containers close to users on Firecracker microVMs distributed worldwide.