anyscale

Chef Robotics 训练其食品组装机器人背后的 Vision-Language-Action 模型速度提升 10 倍，在 16 块 A100 上实现 92% 的多 GPU 扩展效率，依托 Anyscale 与 Ray 平台加速分布式训练。

Vincent Gonguet from Bedrock Robotics presented a keynote at the Ray Summit focused on advanced autonomy for physically building out the world, emphasizing robotics applications.

Announcing Ray Summit 2026, co-presented with vLLM, taking place August 24-26 in San Francisco. The full agenda is live, featuring tracks on foundation model training, multimodal pipelines, and RL at scale.

Anyscale on Azure is now in public preview. Daniel Arrizza and Paul Yu will host a working session on building and deploying production AI workloads within an Azure tenant, integrating with existing Azure services.

Anyscale introduces a new Agent Skill for LLM post-training that automatically selects the optimal fine-tuning method (SFT, DPO, GRPO, etc.) and generates ready-to-launch configs, helping avoid wasted GPU runs.

Anyscale is hosting a hands-on virtual lab session teaching developers how to build and scale data pipelines with Ray, covering video data curation, distributed GPU inference, and CPU/GPU streaming pipelines.

Anyscale releases Agent Skills to help coding agents correctly deploy Ray workloads with proper GPU memory handling and up-to-date APIs.