Cloud infrastructure designed for AI workloads

Every layer of Modal’s platform is engineered to give you the tools to build robust, scalable data applications.

Fast cold starts. Faster feedback loops.

Memory snapshotting

Modal’s container runtime is built for performance, with memory snapshotting so you can load large models and engines into GPU memory in seconds.

Smarter filesystem

We’ve optimized the filesystem for the fastest startup. Files load only when they’re needed, so containers come online quickly and large images don’t slow you down.

Scale to 1000+ GPUs in minutes. Then back down to zero.

Instant responsiveness to demand

Burst to thousands of GPUs when demand spikes, then drop back to zero when it doesn’t, keeping workloads efficient.

Deep GPU capacity pool

Modal pools hardware across multiple clouds, giving you reliable access to the latest GPUs without quotas or reservations.

Near-max GPU utilization

Efficient batching and scheduling keep GPUs near fully loaded, even with bursty or uneven traffic, delivering 2–3× higher throughput per GPU compared to static clusters.

Scale to 1000+ GPUs in minutes. Then back down to zero.

Flexible infrastructure for any AI workload.

Primitives that make it simple to connect services, persist data, and coordinate workloads.

Observability as a first-class feature.

Real-time visibility

Rich dashboard interface helps you track the overall health and resource usage of deployed models.

Granular metrics and insights

Debug fast by zooming into metrics, logs, and live statuses of specific inference calls.

First-party integrations.

Connect directly to telemetry providers to send logs, metrics, and traces into your existing stack.

Your end-to-end ML lifecyle in one place

Seamlessly integrate data pre-processing, training, and serving.

Ship your first app in minutes.

Get Started

$30 / month free compute