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Autoscaling GPU pods (A100/H100) tailored for LLM inference.
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overview
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.
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.
use_cases
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.
CoreWeave Inference supports A100 and H100 GPUs, providing cutting-edge performance for large-scale inference.
Our autoscaling feature automatically adjusts GPU resources based on demand, ensuring efficient resource usage and optimal performance.
Yes, CoreWeave Inference allows for the deployment and evaluation of various open-source AI models from a unified interface, streamlining your workflows.