Maximize LLM Online Inference Performance

LLM inference you can count on. Optimize your LLM inference performance—while reducing costs.

Inference

Best-in-Class Inference

Fine-Tune and Customize Without Increasing Costs

Easily fine-tune any open source LLM models—without paying the price. Fine-tune and serve without added costs, unlike proprietary options like OpenAI.

Your Data, Your Cloud

Anyscale works on your cloud so you can fine-tune any open source LLM model while still retaining full control of your data. Track and control your models, experiments, and data.

Best-in-Class Reliability

Deploy LLMs without worrying. Anyscale is production ready, with head node recovery, Multi-AZ support, and zero downtime upgrades.

Streamlined Development

Quickstart your LLM inference process with RayLLM—available only on Anyscale. Get out-of-the-box integrations with Anyscale’s optimized vLLM inference engine, or easily integrate with other engines like TRT-LLM, TGI, and more.

Looking for LLM Batch Inference?

Check out our dedicated LLM batch inference page to see how Anyscale supports batch inference at scale.

State-of-the-Art LLM Inference

vLLM logo
openai black
anyscale blue

Fast Node Launching and Autoscaling

N/A
60 seconds

Speculative Decoding

N/A

Prefix Caching

N/A

Compatible with Open Source LLMs

Customizable Performance

Multi-LoRA Serving

N/A
Optimized

JSON Mode

Optimized

Multi-Model Services

N/A

Tensor Parallelism

vLLM logo
openai black
anyscale blue

Fast Node Launching and Autoscaling

N/A
60 seconds

Speculative Decoding

N/A

Prefix Caching

N/A

Compatible with Open Source LLMs

Customizable Performance

Multi-LoRA Serving

N/A
Optimized

JSON Mode

Optimized

Multi-Model Services

N/A

Tensor Parallelism

Ray LLM: Anyscale-only ML Library for LLM Inference

Supercharge your inference workflow with Ray LLM, an out-of-the-box solution for LLM inference. Get started with this Ansycale-exclusive ML library and serve better LLM inference, faster.

RayLLM

Use Any Inference Engine

Anyscale supports every major inference engine including vLLM, TRT-LLM, TGI, and more. Plus, with our proprietary vLLM optimizations, we can tune your engine performance to reduce costs by up to 20%.

Illustration - vLLM engine

Reliable Where it Counts

Ensure that any issues on the back end don’t lead to downtime for your end user. With multi-AZ support, zero downtime upgrades, head node fault tolerance, and more, you can ensure your deployed model is always available.

Illustration – Reliability
CAnva

“We have no ceiling on scale, and an incredible opportunity to bring AI features and value to our 170 million users.”

Greg Roodt
ML Lead, Canva

Out-of-the-Box Templates & App Accelerators

Jumpstart your development process with custom-made templates, only available on Anyscale.

End-to-End LLM Workflows

Execute end-to-end LLM workflows to develop and productionize LLMs at scale

Deploy LLMs

Base models, LoRA adapters, and embedding models. Deploy with optimized RayLLM.

Build an LLM Router

Use a router for High-Quality and Cost-Effective Responses.

FAQs

Yes, Anyscale is built to be your AI/ML compute platform and it supports a variety of use cases, including the entire end-to-end LLM process.

Get Started with Anyscale for Online LLM Inference

Stop relying on expensive, closed source, single-solution offers for LLM inference, and switch to the platform that does it all.