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Low-cost inference cloud with developer APIs to run open ML models and on-demand GPUs, billed pay-per-use.
Cloud platform from the makers of PyTorch Lightning for building, training and deploying AI in browser-based GPU Studios.
MiniMax's general-purpose autonomous AI agent that plans and completes complex multi-step tasks from a single prompt.
General AI agent executing tasks and integrating thousands of apps; very high traffic.
Kiro is a spec-driven agentic coding tool for IDE, CLI and web that turns prompts into specs and catches bugs with property-based tests.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Hosted inference for many open models
- ✦Simple REST/OpenAI-compatible API
- ✦Pay-per-token or per-time billing
- ✦On-demand GPU rental
- ✦Broad catalog (Llama, DeepSeek, Qwen, Flux, etc.)
- ✦DeepStart and DeepCluster tooling
- ✦Browser-based Lightning Studios with on-demand GPUs
- ✦PyTorch Lightning training framework
- ✦Model training, fine-tuning and deployment
- ✦Collaborative, shareable ML environments
- ✦Scalable multi-GPU/multi-node compute
- ✦Autonomous multi-step task execution
- ✦Natural-language task delegation
- ✦Powered by MiniMax frontier models
- ✦Handles research, building and content tasks
- ✦Create presentations, websites, reports, slides, documents, podcasts images & videos
- ✦Conduct deep research on any topic
- ✦Command a virtual computer to browse the web
- ✦Connect and automate with over 2700+ apps
- ✦Spec-driven development (requirements, design, tasks)
- ✦Parallel agents, local or cloud
- ✦Property-based and correctness testing
- ✦Works in IDE, CLI, web and mobile
- ✦Multiple models (Claude, open-weight, Auto)
- ✦Headless CLI for CI/CD
- ✦Context from tools like Figma and Terraform
- →Serving open-source models via API
- →Building AI apps cost-efficiently
- →Renting GPUs for inference or training
- →Scaling inference up and down on demand
- →Prototype and train ML models in the cloud
- →Fine-tune and deploy foundation models
- →Run reproducible AI experiments collaboratively
- →Delegating complex tasks to an AI agent
- →Automating research and analysis
- →Producing reports and deliverables
- →Generate a high-conversion landing page for a startup's ebook.
- →Build a web-based image cropper tool with live preview.
- →Create a beginner-friendly PDF cheatsheet for Python.
- →Develop a one-week travel itinerary for a destination like Vietnam.
- →Analyze social media mentions and sentiment for a specific entity.
- →Organize hiring task submissions from emails into a Google Sheets spreadsheet.
- →Clone a pixel-perfect website for design accuracy and responsive web experience.
- →Make a podcast on the rise of SpaceX, make it conversational and include fun facts.
- →Turning prompts into maintainable, spec-matched code
- →Catching bugs unit tests miss
- →Reviewing PRs and fixing bugs in CI/CD