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AI Tool
Unlock the Power of On-Demand GPU Inference
Effortlessly deploy custom open-source models with our serverless GPU infrastructure.
Experience up to 10× faster cold starts with our new GPU memory snapshot feature, reducing latency for your AI workloads.Access a wide range of high-end GPUs and scale elastically with configurations up to 1,536 GB GPU RAM, ideal for demanding tasks.Enjoy a fully Python-native, code-first infrastructure that simplifies experimentation and accelerates production.Seamlessly collaborate with enhanced Modal Notebooks and integrations for improved developer productivity.
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DeploySelf-hostedOn-prem
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overview
What is Modal Serverless GPU?
Modal Serverless GPU is an innovative platform designed to facilitate on-demand GPU inference for your custom open-source models. With a focus on speed and ease of use, it empowers teams to deploy their models rapidly while minimizing operational overhead.
- On-demand access to top-tier GPUs for flexible deployment.
- Excellent for startups and enterprises alike, tailored for AI teams.
- Supports diverse machine learning and media processing tasks.
features
Key Features
Modal Serverless GPU combines cutting-edge technology with developer-friendly tools to streamline your workflow. From fast cold starts to extensive GPU support, our features cater to both simple experiments and complex production needs.
- New GPU memory snapshot for quicker cold starts.
- Support for numerous high-end GPUs up to 8 GPUs per instance.
- Fully Python-native infrastructure for easy configuration.
use_cases
Use Cases
Whether you're running inference, fine-tuning models, or executing batch jobs, Modal Serverless GPU has you covered. Our platform is designed to meet the diverse needs of AI teams across various industries.
- Rapid deployment of machine learning models.
- Efficient batch processing for large datasets.
- Fine-tuning models in an agile development environment.
Frequently Asked Questions
How does Modal Serverless GPU help with latency in GPU workloads?
With our new GPU memory snapshot feature, you can achieve up to 10× faster cold starts by bypassing time-consuming processes, which is crucial for reducing latency in model serving and batch jobs.
What types of GPUs does the service support?
Modal Serverless GPU supports a comprehensive range of high-end GPUs including NVIDIA B200, H200, H100, A100, L40S, L4, T4, and A10, with flexible configurations for demanding tasks.
Is the platform suitable for small teams or startups?
Absolutely! Modal Serverless GPU is designed specifically for AI teams and developers who require rapid deployment, elastic scaling, and minimal DevOps effort, making it ideal for startups and small teams.