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Enterprise Tech 30 List Early-Stage #3 2024

Modal

Non-hyperscaler

Compute AI & GPU Infrastructure Developer Tools & Ecosystem

Quick Stats

Pricing Model

Pay-As-You-Go, Free Tier Available, Reserved / Committed Capacity

Customer Count

Unknown

Region

United States (US), European Economic Area (EU), Asia–Pacific (AP), United Kingdom (UK), Canada (CA), Middle East (ME), South America (SA), Africa (AF), Mexico (MX)

About

Modal offers serverless cloud infrastructure for deploying and scaling Python workloads, specializing in machine learning and data processing. Its pay-as-you-go pricing, instant GPU access, and seamless integration with existing Python code differentiate it for teams needing flexible, cost-efficient compute without managing servers.

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Pricing Details

Modal Pricing

Serverless cloud for AI, batch, and data workloads

Pay-as-you-go

No minimums, billed per usage

Flexible

CPU	$0.00011 / vCPU-second
Memory	$0.000012 / GB-second
GPU	From $0.0007 / GPU-second (varies by GPU type)
Storage	$0.10 / GB-month
Data Egress	$0.12 / GB

No upfront commitments. Billed monthly based on actual usage.

Enterprise

Custom plans for large-scale or regulated workloads

Contact Sales

Pricing	Available upon request. Includes volume discounts, dedicated support, and custom SLAs.
Features	Private networking Custom security & compliance Dedicated infrastructure options Priority support

Contact Modal for a tailored quote and enterprise onboarding.

Notes: Prices shown in USD. Actual rates may vary by region, instance type, and usage. For the latest details, visit the Modal pricing page.

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Features

Performance Sub-second cold starts, instant autoscaling, and low-latency container launches for AI workloads.

Compute Elastic GPU scaling with access to thousands of GPUs across multiple clouds, scaling to zero when idle.

Storage Globally distributed storage system designed for high throughput and low latency, supporting fast model and data loading.

Security SOC2 & HIPAA compliance, battle-tested isolation, team controls, and data residency options.

Key Offerings

Modal Inference: Deploy and scale inference for LLMs, audio, and image/video generation
Modal Training: Fine-tune open-source models on single or multi-node GPU clusters
Modal Sandboxes: Programmatically scale secure, ephemeral environments for running untrusted code
Modal Batch: On-demand scaling to thousands of containers for batch workloads
Modal Notebooks: Real-time collaborative, shareable notebooks for code and data

Ideal Use Cases / Buyers

Workloads AI/ML inference, model training (including LLMs, audio, image, and video generation), batch processing, running coding agents, computational biology, audio transcription, text-to-speech, and scalable, secure sandboxes for untrusted code.

Buyers AI/ML teams, ML engineers, data scientists, research engineers, startups and enterprises building AI applications, and companies in sectors like media, computational biology, and technology.

Integrations & Partners

Why Choose

✅ Sub-second cold starts and instant autoscaling for AI workloads, enabling rapid feedback and low latency
✅ Elastic GPU scaling with access to thousands of GPUs across multiple clouds, no quotas or reservations required
✅ Fully programmable infrastructure defined in code (no YAML/config files), keeping environments and hardware in sync
✅ AI-native runtime engineered for heavy workloads, with model initialization up to 100x faster than Docker
✅ Integrated observability and security features, including unified logging, SOC2 & HIPAA compliance, and data residency controls