AI Startup Tracker

Building next-generation AI infrastructure for efficient and scalable inference of large models, optimizing for speed and cost.

A specialized cloud provider offering ultra-high-performance compute for AI and machine learning workloads, leveraging NVIDIA GPUs.

Provides GPU cloud services and deep learning workstations, making powerful AI infrastructure accessible to researchers and developers.

Offers a cloud platform for building and running AI models, specializing in open-source large language models with fast inference.

The company behind Ray, an open-source framework for scaling AI and Python workloads, offering a managed platform for distributed computing.

Utilizes wasted energy to power modular data centers for high-performance computing, offering sustainable and cost-effective AI compute.

A leading platform for machine learning, providing tools, datasets, and models, alongside hosting and inference solutions for the AI community.

Enables developers to run open-source AI models in the cloud with a simple API, handling the complexities of deployment and scaling.

Offers serverless infrastructure for running AI models and complex applications without managing servers or Docker, focusing on developer productivity.

A decentralized marketplace for renting GPUs at competitive prices, making high-performance computing more accessible and affordable.

Offers on-demand GPU servers and cloud compute for AI, rendering, and scientific computing, with a focus on cost-effectiveness and scalability.

A platform for deploying and scaling machine learning models in production, providing infrastructure, observability, and cost optimization.