Cost / License
- Freemium
- Open Source (Apache-2.0)
Platforms
- Software as a Service (SaaS)
- Online
- Self-Hosted

GMI Cloud is described as 'You’re about to supercharge your AI models with lightning-fast inference. Inference Engine makes it easy to scale, and optimize your models for real-time performance. Let’s get started—your AI is ready to shine' and is an website. There are more than 25 alternatives to GMI Cloud, not only websites but also apps for a variety of platforms, including Windows, SaaS, Linux and Mac apps. The best GMI Cloud alternative is Unsloth, which is both free and Open Source. Other great sites and apps similar to GMI Cloud are Fireworks AI, Mistral Forge, Cactus and Minimax Platform.

Harness state-of-the-art open-source LLMs and image models at blazing speeds with Fireworks AI. Utilize rapid deployment, fine-tuning without extra costs, FireAttention for model efficiency, and FireFunction for complex AI applications including automation and domain-expert copilots.




Transform institutional knowledge into frontier-grade LLMs—without infrastructure burden or cloud lock-in.



MiniMax Platform is a versatile AI ecosystem offering advanced models for text, speech, video, and music generation, optimized for coding, creative expression, and immersive interaction.




Plexe AI enables you to create, train, and deploy machine learning models using simple English commands — no coding required.


AIKit is a comprehensive platform to quickly get started to host, deploy, build and fine-tune large language models (LLMs).



Mankinds is a structured AI evaluation platform designed to help teams assess AI systems before deployment and as they evolve.
Cerebras is an AI infrastructure company that builds wafer-scale processors delivering ultra-fast, cost-efficient training and inference for large models.




The DeepSeek API provides developers with direct access to DeepSeek’s advanced AI models, enabling them to run text, code, and multimodal tasks through simple endpoints for seamless integration into applications.




Train AI models with your data in minutes, not weeks, and get better performance at lower cost. Integrates with open-source and proprietary foundation models.



"Agents" originated in reinforcement learning, where they learn by interacting with an environment and receiving a reward signal. However, LLM-based agents today do not learn online (i.e. continuously in real time) via reinforcement.