The Best Runpod Alternatives in 2026

Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.

Forefront provides a platform for fine tuning and running inference with open source language models.

Banana hosts GPUs for AI inference and supports autoscaling for high-throughput workloads.

Cerebrium provides serverless GPU infrastructure for deploying voice agents, video models, language models, and other AI workloads.

Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.

Mistral offers models and tools for customizing, fine-tuning, and deploying assistants, agents, and multimodal AI.

Featherless is a serverless AI inference platform for open-weight models with API access to tens of thousands of models.

Wallaroo provides inference microservices for running models on CPUs or GPUs across cloud and edge environments.

Groq provides cloud infrastructure and developer APIs for running AI model inference.

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.

Infer.NET runs Bayesian inference in graphical models for a range of machine learning problems.

Apertus provides a nonprofit public inference service intended to make public and sovereign AI models more accessible.

GPT-NeoX implements model parallel autoregressive transformers on GPUs using Megatron and DeepSpeed libraries.

DigitalOcean offers cloud infrastructure for AI agents, inference, and production AI products.

Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

Labelbox provides data and simulated environments for training AI systems and deploying agents across business applications.

Cerebras provides AI inference infrastructure built around its wafer-scale chips.

Z.AI’s developer documentation explains how to access its models and services through an API.

Credo AI helps organizations inventory AI systems, enforce governance policies, demonstrate compliance, and manage model and agent risk.

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.