20 Runpod alternatives
Runpod: GPU cloud for AI developers: on-demand GPU pods, serverless GPU endpoints that scale to zero, and multi-node clusters, billed by the second. 20 apps do similar work, most sharing Inference, Developers and GPU, ranked by how much they have in common with Runpod.
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Run thousands of open models with one API call, and deploy your own without touching Kubernetes.
Also: Developers, GPU, Inference, Serverless
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Serverless GPUs from a Python decorator — deploy models and batch jobs with no containers or cluster to manage.
Also: Developers, GPU, Inference, Serverless
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Inference and training platform for open models: serverless per-token APIs, dedicated GPU deployments, and managed fine-tuning with SFT, DPO and RFT.
Also: Developers, Fine-tuning, GPU, Inference
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Inference, fine-tuning, and GPU clusters for open models — the full stack for teams building on open weights.
Also: Developers, Fine-tuning, GPU, Inference
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Unsloth AI
Open-source desktop app to run, serve and fine-tune text, image, video and audio models entirely on your own machine.
Also: Fine-tuning, GPU, Inference
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NVIDIA GPU cloud for training and inference: self-serve on-demand instances billed by the minute, 1-Click Clusters, and large private superclusters.
Also: Developers, GPU, Inference
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Production inference for open and custom models — fast, autoscaling, and deployable into your own cloud.
Also: Developers, GPU, Inference
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Inference on custom LPU hardware, built for latency — open models served at speeds general-purpose GPUs struggle to match.
Also: Developers, GPU, Inference
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A generative media platform tuned for speed — image, video, and audio models served with very low latency.
Also: Developers, GPU, Inference
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Cactus Compute, Inc.
8-29 MB automation models that run on phones, wearables and microcontrollers — tool calling, structured extraction and embeddings, fully offline.
Also: Fine-tuning, Inference
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Simulate how fast a local LLM runs on a given GPU or Mac before you buy the hardware.
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Reactive TypeScript backend platform built so AI coding agents can ship features without breaking things.
Also: Developers, Serverless
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The open-source AI hub: over a million models, hundreds of thousands of datasets, and hosted demo Spaces.
Also: Developers, Inference
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One API and one bill for hundreds of language models, with automatic failover between providers.
Also: Developers, Inference
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Privacy-first AI gateway putting 600+ models from 90+ providers behind one OpenAI-compatible API, with no prompt or output logging.
Also: Developers, Inference
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ngrok
A hosted LLM gateway from ngrok: one base URL and one key for public providers, your own keys and self-hosted models, with failover, scoped access and cost analytics.
Also: Developers, Inference
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A fully managed vector database for semantic search and retrieval at billion-scale, with no infrastructure to run.
Also: Serverless
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Leonardo.Ai is Canva's image and video generation platform, with its own and third-party models, reusable Blueprints, style training and an API.
Also: Fine-tuning
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Open-source inference engine that runs LLMs, vision and speech models fully on-device — no API keys, no cloud calls, from Swift to Godot.
Also: Inference
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Jun Kim
Menu-bar LLM inference server for Apple Silicon, with continuous batching and tiered KV caching that keeps local models fast enough for real coding work.
Also: Inference