Alternatives to CoreWeave

Verda (formerly DataCrunch) is a European GPU cloud: on-demand NVIDIA instances, InfiniBand clusters, and serverless inference.

Zettascale builds XPU accelerator chips that cut AI inference and training energy by keeping data close to compute.

Paperspace is a cloud GPU platform from DigitalOcean offering per-second-billed NVIDIA H100, A100 and V100 instances, hosted notebooks, and managed ML training

Training-free distributed inference that splits SDXL generation across multiple GPUs for up to 6.1x lower latency

Rent GPU pods, serverless inference endpoints and multi-node clusters by the second on Runpod's AI developer cloud.

Lilac turns idle GPU clusters into a white-labeled neocloud with spot H100 leases and serverless inference.

GMI Cloud Inference Engine serves frontier multimodal models through one OpenAI-compatible API on dedicated NVIDIA GPUs.

EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud.

Nscale sells sovereign GPU cloud capacity — reserved compute, inference endpoints, and AI data centers it owns and powers.

Rent GPU instances and per-second GPU sandboxes for AI training, RL rollouts, and agent workloads from $0.35/hr.

Crusoe Cloud rents NVIDIA and AMD GPU instances by the hour, plus managed inference and fine-tuning for AI teams

Etched builds custom inference silicon and rack-scale frontier inference clusters for trillion-parameter MoE prefill and decode.

Serverless GPU cloud for production AI — declare Python functions and hardware in one file, scale to thousands of GPUs, pay per second.

Managed Ray platform for distributed training, multimodal data curation, batch embedding, and post-training on your own GPUs

Distributed compute clusters across hyperscalers and neoclouds for massively parallel AI workloads

DeepSim is an AI-driven multi-scale physics simulator that runs nano-to-macro semiconductor simulations in a single pass, claiming 1000X speedup.

Together AI runs open-weight model inference through serverless APIs, batch jobs, and GPU clusters.

Fireworks AI runs open-weight model inference, orchestration and training on one platform with per-token and per-GPU-second pricing.

Vast.ai is a GPU rental marketplace where market-set prices and per-second billing let you provision 20,000+ GPUs from code.

Free Apache-2.0 command-line framework for fine-tuning and post-training LLMs, vision-language and MoE models on GPUs you own or rent

LLaMA-Factory fine-tunes 100+ LLMs and VLMs with a zero-code CLI and the LlamaBoard web UI

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour, billed per second, for retryable inference and batch work.

TensorRT-LLM is NVIDIA's open-source inference library for high-throughput LLM and visual generation serving on NVIDIA GPUs.

Modular's unified inference stack runs the same container and OpenAI-compatible API from GPU kernel to cloud endpoint

Deploy custom ML models on serverless Nvidia GPUs with per-second billing and scale-to-zero.

An open-source, readable LLM inference engine written in Python with hand-written CUDA and Triton kernels.

Run 20+ pre-installed open-source AI apps — ComfyUI, Stable Diffusion, RVC, LoRA training — in your browser on rented cloud GPUs

Freesolo is a managed post-training platform that turns your dataset into a production-ready small language model via Claude Code, Cursor,

Kalavai pools spare GPUs across laptops, desktops and clouds into one self-hosted AI compute cluster.

SambaNova Cloud runs open-weight models like MiniMax M2.7 and DeepSeek-V3.1 on custom RDU chips for fast, power-efficient inference.