AI Tool

Unlock Scalable Inference with CoreWeave

Autoscaling GPU pods (A100/H100) tailored for LLM inference.

Experience up to 10x faster inference for large models with our purpose-built architecture.Seamlessly deploy, manage, and evaluate leading AI models using our integrated W&B Inference functionality.Achieve record-breaking performance with cutting-edge NVIDIA GPUs and tailored infrastructure.

Tags

DeployHardware & AcceleratorsGPUs (A100/H100/B200)
Visit CoreWeave Inference
CoreWeave Inference hero

Similar Tools

Compare Alternatives

Other tools you might consider

Vultr Talon

Shares tags: deploy, hardware & accelerators, gpus (a100/h100/b200)

Visit

Lambda GPU Cloud

Shares tags: deploy, hardware & accelerators, gpus (a100/h100/b200)

Visit

Crusoe Cloud

Shares tags: deploy, hardware & accelerators, gpus (a100/h100/b200)

Visit

NVIDIA DGX Cloud

Shares tags: deploy, hardware & accelerators, gpus (a100/h100/b200)

Visit

overview

What is CoreWeave Inference?

CoreWeave Inference offers advanced autoscaling GPU pods specifically designed for efficient LLM (Large Language Model) inference. By leveraging high-performance hardware such as A100 and H100 GPUs, we empower AI teams to deploy and iterate on large models with ease and speed.

  • Autoscaling for optimal resource utilization
  • Tailored for both developers and enterprises
  • Compatible with leading AI frameworks

features

Key Features

CoreWeave Inference provides a suite of powerful features that streamline the inference process. From observability tools to rapid scaling, our platform meets the demands of modern AI workflows.

  • Mission Control integration for real-time diagnostics
  • Access to top-tier NVIDIA hardware for leading performance
  • Unified interface for consistent model deployment

use_cases

Who Can Benefit?

CoreWeave Inference is specifically designed for advanced AI teams, including developers, researchers, and enterprises with high-throughput inference needs. It's ideal for those deploying production AI solutions or working with large models and complex agents.

  • AI labs looking to enhance their modeling capacity
  • Developers focused on iterative improvement of algorithms
  • Enterprises requiring cost-effective and scalable inference

Frequently Asked Questions

What types of GPUs are supported by CoreWeave Inference?

CoreWeave Inference supports A100 and H100 GPUs, providing cutting-edge performance for large-scale inference.

How does autoscaling work in CoreWeave Inference?

Our autoscaling feature automatically adjusts GPU resources based on demand, ensuring efficient resource usage and optimal performance.

Can I use my own models with CoreWeave Inference?

Yes, CoreWeave Inference allows for the deployment and evaluation of various open-source AI models from a unified interface, streamlining your workflows.