Anyscale
About
Anyscale is an AI compute platform built on the open-source Ray framework that enables teams to fine-tune, train, and serve large language models at scale. The platform provides managed infrastructure for distributed fine-tuning of open-source models, with support for DeepSpeed, FSDP, and other parallelism strategies across large GPU clusters. Created by the original developers of Ray at UC Berkeley, Anyscale is used by enterprises and AI companies that need to scale LLM workloads from experimentation to production-grade deployments.
LLM Fine-Tuning
Anyscale provides managed infrastructure on the open-source Ray framework for distributed fine-tuning, training, and serving of large language models.
Tool Details Paid
Pricing
From $1/GPU-hour
API Available
Yes
