Serverless cloud for AI/ML workloads with GPU access.
Requires rapid deployment of model inference endpoints and scalable training jobs.
Needs to run heavy compute tasks without managing complex cloud infrastructure.
Benefits from cost-efficient, pay-as-you-go infrastructure to minimize early burn rates.
Requires deep control over VPCs, subnets, and custom hardware configurations.
Needs strict on-premises compliance and traditional server management workflows.
AI-powered tools that can replace or augment Modal
Serverless API for running and deploying machine learning models without managing infrastructure
Cloud API for running ML models on demand.
High-performance inference platform for serving AI models with optimized GPU utilization
High-performance AI model serving for production.
Cloud platform providing serverless access to GPUs for fine-tuning and running open-source AI models
Fast cloud inference for open-source AI models.
Modal utilizes a consumption-based, per-second billing model that offers high cost-efficiency by charging only for the exact duration of compute resources utilized.