Runpod
runpod.ioRunpod provides on-demand GPUs and serverless compute for AI model training, fine-tuning, inference, and batch workloads.
Looking for something like Lambda? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 2 are free or have a free plan and 3 are open source.
Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Runpod | — | Not stated | Web |
| 2 | Groq | — | Not stated | Web |
| 3 | Jan | — | Not stated | macOS, Web |
| 4 | Prime Intellect | — | Not stated | Web |
| 5 | Allegro AI | — | Not stated | Web |
| 6 | Forefront | Freemium | Not stated | Web |
| 7 | Wallaroo.AI | — | Not stated | Web |
| 8 | Caffe | — | Not stated | Windows |
| 9 | facebookresearch/faiss | — | Yes | — |
| 10 | Nos | — | Yes | — |
Runpod provides on-demand GPUs and serverless compute for AI model training, fine-tuning, inference, and batch workloads.
Groq provides cloud infrastructure and developer APIs for running AI model inference.
Jan provides an open source ChatGPT alternative for running models locally or connecting to cloud models.
Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.
ClearML provides AI infrastructure for managing GPU clusters, machine learning workflows, and model deployment.
Forefront provides a platform for fine tuning and running inference with open source language models.
Wallaroo provides inference microservices for running models on CPUs or GPUs across cloud and edge environments.
Caffe provides an open framework for building and running deep learning models.
A library for efficient similarity search and clustering of dense vectors.
Nos dynamically partitions GPU resources and manages quotas in Kubernetes clusters.
Labelbox provides data and simulated environments for training AI systems and deploying agents across business applications.
Stakpak runs an agent on a machine to ship code and keep applications running.
Z.AI’s developer documentation explains how to access its models and services through an API.
Algorithms for learning and inference with discrete probabilistic models.
Baseten provides an inference platform for serving and scaling open-source and custom AI models in production.
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Credo AI helps organizations inventory AI systems, enforce governance policies, demonstrate compliance, and manage model and agent risk.
Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.
ModAstera guides teams through data labeling, AI model building, validation, and deployment in one workflow.
BurnRate tracks AI model provider spending in a dashboard and offers a local CLI for agent-level costs.
Baidu Qianfan lists pricing and capabilities for models and services on the Baidu AI Cloud platform.
Cerebrium provides serverless GPU infrastructure for deploying voice agents, video models, language models, and other AI workloads.
MakeHub routes AI model requests among providers such as OpenAI, Anthropic, and Together.ai.
Apertus provides a nonprofit public inference service intended to make public and sovereign AI models more accessible.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative