Modal
Serverless GPU cloud for AI and ML teams
About
Founded in 2021 by Erik Bernhardsson and Akshat Bubna, Modal is a serverless cloud platform purpose-built for AI and machine learning workloads. Its infrastructure, written in Rust, launches containers in under a second and scales to hundreds of GPUs on demand, eliminating the overhead of managing cloud infrastructure. Developers write Python functions decorated with Modal primitives to run generative AI inference, LLM fine-tuning, batch processing, and computational biotech jobs at scale. Customers span AI startups, enterprises, and research teams. Modal runs on Oracle Cloud Infrastructure and is backed by over $80M in funding, positioning it as a developer-first alternative to AWS and GCP for compute-intensive AI workloads.
Products
-
Inference
— Deploy and scale inference for large language models, audio, and image/video generation with low latency and autoscaling.
Customer sectors: ml engineers, ai researchers, app developers
-
Training
— Fine-tune open-source models on single or multi-node clusters instantly for custom AI workloads.
Customer sectors: ml engineers, data scientists, research labs
-
Sandboxes
— Programmatically scale secure, ephemeral environments for safely running untrusted code.
Customer sectors: researchers, security teams, developers
-
Batch
— Scale to thousands of containers on-demand for large batch processing workloads.
Customer sectors: data engineers, ml teams, enterprise ai
-
Notebooks
— Collaborate in real-time with shareable notebooks for code and data exploration.
Customer sectors: data scientists, ml engineers, research labs
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Modal — available to members.
Related Companies
Other startups in Data Management Platforms
