20 Lambda alternatives
Lambda: NVIDIA GPU cloud for training and inference: self-serve on-demand instances billed by the minute, 1-Click Clusters, and large private superclusters. 20 apps do similar work, most sharing Inference, Developers and GPU, ranked by how much they have in common with Lambda.
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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, GPU, Inference
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GPU cloud for AI developers: on-demand GPU pods, serverless GPU endpoints that scale to zero, and multi-node clusters, billed by the second.
Also: Developers, GPU, Inference
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Run thousands of open models with one API call, and deploy your own without touching Kubernetes.
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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Serverless GPUs from a Python decorator — deploy models and batch jobs with no containers or cluster to manage.
Also: Developers, 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, 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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Digger
Write an agent as a TypeScript function and deploy it in seconds onto KVM-isolated Linux microVMs, with the loop, sessions, streaming and versioning managed for you.
Also: Cloud, Developers
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Kube-DC
Kube-DC.cloud is a fixed-price Kubernetes cloud for developers - with VMs, containers, managed databases, observability, backups, and unlimited traffic included.
Also: Developers, Kubernetes
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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.
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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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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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Zeabur, Inc.
A shared DevOps workspace where AI agents investigate incidents and operate AWS, GCP and Kubernetes under IAM scoping, approval gates and a full audit trail.
Also: Kubernetes
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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
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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: Inference