Anyscale is a production-scale AI platform founded in 2019 and headquartered in Berkeley, California, that accelerates the development and productionization of AI applications on any cloud at any scale. The company has earned an exceptional employee rating of 4.5 out of 5 stars based on 60 Glassdoor reviews, with employees praising its strong company culture, successful leadership, and clear product direction. Anyscale's platform is built on Ray, providing developers with powerful tools for distributed computing and model training.
Anyscale offers a flexible pay-as-you-go pricing model where customers only pay for compute resources they actually use, with no monthly fixed fees and USD 100 in credits to get started. The platform unlocks usage-based discounts as consumption grows, with pricing starting at USD 0.00006 per minute for compute resources. For LLM endpoints, Anyscale provides services at USD 1 per million tokens for models like Llama 2, which is less than half the cost of many proprietary AI systems. This cost-effectiveness combined with powerful infrastructure makes Anyscale attractive for teams at all scales.
The platform includes sophisticated cost management features such as spot instances with reliable management and fallback to on-demand, cost governance tools for monitoring usage across teams with budgets and quotas, and auto-suspending clusters to avoid paying for idle resources. Employees rate compensation and benefits at 4.4 out of 5 and career opportunities at 4.7 out of 5, though some note work-life balance challenges and the complexity of the product. Anyscale's combination of Ray's power, flexible pricing, and strong company culture positions it as a compelling platform for production AI applications.
Free trial available
Integrate Anyscale's Ray-powered platform with Respan to scale your AI applications across any cloud infrastructure. Leverage Anyscale's cost-effective compute and LLM endpoints alongside Respan's multi-provider orchestration for optimized AI development. Enable distributed training, inference, and deployment with automatic cost optimization and resource management.
Top companies in Inference & Compute you can use instead of Anyscale.
Companies from adjacent layers in the AI stack that work well with Anyscale.
Last verified: March 10, 2026