
Lambda Labs
Best for LLM Training, AI Research, Fine-Tuning

Best for Serverless Inference, Ad-hoc Python scripts, Quick Prototyping
Modal revolutionizes the AI development workflow by allowing developers to run Python code in the cloud with purely code-based infrastructure definitions. Just decorate your Python functions and they instantly run on A100s or H100s with zero DevOps required.
| GPU Models | H100, A100, A10G, T4 |
| GPU Types | A100, A10G, H100, t4 |
| Headquarters | New York, NY, USA |
| Founded | 2021 |
| Availability | Available Now |
| Website | modal.com ↗ |
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Modal GPU cloud pricing starts from $0.50/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Modal offers H100, A100, A10G, T4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Modal operates data centers in EU West, US East, US West. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Modal and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Modal offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.

Best for LLM Training, AI Research, Fine-Tuning

Best for AI Innovation, TPU Training, MLOps (Vertex AI)

Best for Enterprise Production, Model Deployment, Massive Scale