Modal
Serverless cloud for AI and data
About Modal
Modal is a serverless cloud platform that eliminates the complexity of running AI and data workloads on GPUs. Developers write Python code locally and Modal handles provisioning GPU instances, managing containers, scaling, and orchestration — all without Dockerfiles, Kubernetes, or infrastructure configuration.
The platform is designed for AI engineers who want to run training jobs, batch inference, data pipelines, and model serving without managing servers. Modal's cold-start times are measured in seconds, and the platform scales from zero to thousands of GPUs automatically based on demand, making it cost-efficient for bursty AI workloads.
Founded by Erik Bernhardsson, former VP of Engineering at Spotify, Modal has gained a strong developer following for its elegant Python-native approach to cloud computing. The company has raised significant venture funding and serves customers ranging from AI startups to large enterprises who value developer productivity over infrastructure control.
Products & Services
Modal Serverless GPUs
Instant access to Nvidia GPUs with per-second billing and auto-scaling
Modal Functions
Serverless Python functions that run on cloud infrastructure with zero config
Modal Volumes
High-performance distributed storage for AI datasets and model weights
Leadership
Notable Achievements
- ✓ Fastest cold-start times for serverless GPU workloads
- ✓ Founded by former Spotify VP of Engineering
- ✓ Python-native cloud platform with zero infrastructure config
- ✓ Raised $100M+ in total funding
Competitive Landscape
Companies competing in the same space as Modal.
NexChron Coverage
Latest articles mentioning Modal
NVIDIA Launches Nemotron 3 Nano Omni: Multimodal AI at 9x Greater Efficiency
NVIDIA released Nemotron 3 Nano Omni, a 30B-parameter open model delivering 9x the throughput of comparable omni models — a direct play to own the agentic AI stack, not just the chips.
Meta Launches Muse Spark, First Major AI Model in Over a Year
Meta released Muse Spark, its first major AI model in over a year, deploying multimodal reasoning across WhatsApp, Instagram, Facebook, Messenger, and Meta AI glasses for three billion users.
Meta Launches Muse Spark, First Model from Alexandr Wang's Superintelligence Labs
Meta debuted Muse Spark on April 8 — a proprietary multimodal model from its new Superintelligence Labs, marking a sharp break from the open-source Llama playbook.
Meta Launches Muse Spark, Its First Model Built from Scratch in Nine Months
Meta Superintelligence Labs launched Muse Spark, a natively multimodal model with tool use and multi-agent capabilities, backed by $135B in 2026 AI capex.
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