Philipp Moritz

Very happy to announce the release of Ray Sandboxes, developed with @a_sykim and his team at Google. It makes it easy to scale up your sandboxes with Ray, isolated by gVisor. It is fully open-source, check it out at anyscale.com/blog/announcin… Would love to get your feedback and contributions.

We just merged a clean Qwen 3.5 implementation for SkyRL's Jax backend: github.com/NovaSky-AI/Sky… Currently only for dense models, but should be easy to adapt to MoE models, contributions welcome! Also if anybody wants to contribute chunkwise training for the gated delta net or layer stacking for the model, it would be welcome!

We just released the full SkyRL + Tinker integration: novasky-ai.notion.site/skyrl-tinker This is the evolution of what we have been working on with SkyRL tx and now also supports the SkyRL train backend (fsdp and megatron) which could previously only be used through Python APIs. I'm excited about the standardization the Tinker API will bring to the ecosystem and hopefully having a great open-source implementation will accelerate the adoption!

We are excited to announce the release of SkyRL tx 0.3 novasky-ai.notion.site/skyrl-tx-v030, our MultiLoRA native inference and training engine that exposes the Tinker API. A lot has happened since the last release, in terms of big features we implemented expert parallelism, the DeepseekV3 model architecture (e.g. GLM 4.7 Flash) and a number of features to support longer context! Also, there are lots of smaller improvements and a few small bug fixes.

Thanks a lot for the call-out @tinkerapi For anybody who is interested, we have made a bunch more releases since 0.1.0 came out, they are listed in github.com/NovaSky-AI/Sky… (and 0.3.0 with expert parallelism, a bunch of long context optimizations, and DeepSeekV3 is coming very soon).