AI Tool

Elevate Your AI with Baseten GPU Serving

Effortlessly Scale and Serve Your Models with Triton Runtimes.

Seamless Model Deployment with Minimal OverheadAuto-Scaling to Meet Your DemandsHarness the Power of Triton & TensorRT for Maximum Performance

Tags

BuildServingTriton & TensorRT
Visit Baseten GPU Serving
Baseten GPU Serving hero

Similar Tools

Compare Alternatives

Other tools you might consider

AWS SageMaker Triton

Shares tags: build, serving, triton & tensorrt

Visit

Azure ML Triton Endpoints

Shares tags: build, serving, triton & tensorrt

Visit

Run:ai Inference

Shares tags: build, serving, triton & tensorrt

Visit

NVIDIA TensorRT Cloud

Shares tags: build, serving, triton & tensorrt

Visit

overview

What is Baseten GPU Serving?

Baseten GPU Serving is a managed inference platform designed to simplify the deployment of your machine learning models. With support for Triton runtimes and automatic scaling capabilities, it empowers teams to deliver real-time AI solutions with ease.

  • Streamlined user interface for quick setup
  • Integration with existing workflows
  • Optimized for high-performance models

features

Key Features

Baseten GPU Serving offers a range of features tailored to enhance your model serving experience. From robust infrastructure to constant monitoring, enjoy an unparalleled service that keeps your applications running smoothly.

  • Triton and TensorRT support for diverse model types
  • Autoscaling capabilities to handle varying workloads
  • Real-time performance monitoring for peace of mind

use_cases

Applications You Can Build

Leverage Baseten GPU Serving to power various applications, whether in healthcare, finance, or retail. Our platform enables you to deploy advanced AI models to solve complex problems and foster innovation.

  • Predictive analytics for smarter business decisions
  • Real-time image and video processing
  • Natural language processing for enhanced user engagement

Frequently Asked Questions

What types of models can I deploy with Baseten GPU Serving?

You can deploy a wide range of models, including those designed for image processing, natural language processing, and more, utilizing Triton runtimes.

How does auto-scaling work?

Auto-scaling automatically adjusts the resources allocated to your models based on real-time traffic and demand, ensuring optimal performance without manual intervention.

Is there support for integrating Baseten with existing workflows?

Absolutely! Baseten GPU Serving is designed to integrate seamlessly with your existing workflows, making it easy to incorporate into your current infrastructure.