Anyscale – Commercial Platform for Ray Clusters, Training, and Serving | Quasa.io

#Quasa #QUA #Anyscale

Anyscale is the commercial platform from the creators of Ray: distributed data, training, batch inference, and serving on CPU/GPU/TPU clusters. Official model is usage-based Anyscale Credits—no public flat SaaS seat. Hosted: Anyscale-managed VMs, card billing, business-hours support. BYOC: your VPC and reserved GPUs, marketplace invoice, 24×7 SLAs. Published Hosted examples: CPU-only from about AC $0.0135/hr, T4 ~$0.57, L4 ~$0.95, A10G ~$1.36, A100 ~$4.96; H/B-class is contact-us. Kubernetes/machine-pool rates differ (H100 ~AC $7.16/hr platform fee plus your cloud bill). Starter templates launch from a few dollars of credit. Open-source Ray remains free to self-run. It is not a one-click LLM API and not cheaper than raw cloud if clusters sit idle. Start Hosted. Move to BYOC when reservations and data residency matter.

𝐂𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Built by the Ray authors
• Same Python APIs from laptop to 64+ GPUs
• Hosted or your cloud
• Multi-cloud GPU pooling
• Observability on jobs and Serve  

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
Teams already writing Ray who need production clusters, not another notebook wrapper.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Ray 500M+ downloads claimed
• Pay only running hours
• vLLM / Train / Data on one platform
• Marketplace billing on BYOC
• Templates from a few dollars  

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Platform fee sits on top of cloud GPUs
• Hosted regions are limited
• H100+ is a sales conversation
• Idle clusters still cost if you leave them up
• Ownership news (Nscale deal) is separate from the product  

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.4/5 stars. Use Hosted credits to prove the job. Buy BYOC when you already pay for GPUs and need Ray ops without giving up the VPC. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/anyscale