NovaSky

Tyler Griggs @tyler_griggs_ · Feb 13

SkyRL now implements the Tinker API.

Now, training scripts written for Tinker can run on your own GPUs with zero code changes using SkyRL's FSDP2, Megatron, and vLLM backends.

Blog: novasky-ai.notion.site/skyrl-tinker
🧵

View quoted post on X

Shiyi Cao Verified account @shiyi_c98 · Nov 2

1/n
Introducing our NeurIPS’26 work 💙Evolving Agent Teams (EAT) 💛, where a supervisor diagnoses why an agent team stalls and restructures it to escape local optima, for long-running optimization tasks.

EAT shows superior performance across domains:
🏆 Open Kernel Challenge, decode layer on H200: 2.449× over SGLang, #4 of 1,180 (as of Nov 1, 2026)
⚡️ NVIDIA kernels: KDA prefill on B200, 3.44× over FlashKDA (previous best: 2.96×)
🔥 AMD kernels: KDA prefill on MI350X, 3.01× over vLLM
💻 MoE serving on Mac: Qwen3.8-Flash-Next (Unsloth UD-IQ4_XS GGUF) on M5 Pro, ~3.3× faster prefill (930 tok/s) and 1.22× faster decode (43.7 tok/s) than Strata at the same memory
🦾 RoboDojo: 62.1 on held-out seeds (the best leaderboard entry as of Oct 26, 2026 is 55.3)

- Paper: arxiv.org/abs/2610.36848
- Code: github.com/caoshiyi/EAT
🧵👇

View quoted post on X

Eric Tang @erictang000 · Oct 2

Excited to announce the release of SkyRL v0.4.0!

Some highlights:
- Support for GLM 5.3 Flash, GLM 5.3, and Kimi K2.7
- Top-P sampler replay and optimized R3 data transfer
- Full FP8/MXFP8 RL
- Sharded P2P weight transfer

Blog: blog.skyrl.ai/blog/skyrl-v0-…

Details in 🧵

View quoted post on X

Sumanth Hegde Verified account @sumanthrh · Aug 4

Join us for the first-ever SkyRL Meetup!

It's been a year since we released the SkyRL library. SkyRL now has 2k+ GitHub stars and a growing user base in academia and industry, including researchers from Stanford, CMU, UC Berkeley, Microsoft AI, Datadog, and more.

We're hosting a SkyRL Meetup on August 18th at the Anyscale office in SF. We have a special set of lightning talks:

🔗 Making frontier RL training accessible to everyone, from @trajectorylabs
🐶 Post-training an SRE agent with SkyRL, from @datadoghq
⚡️ Scaling RL with SkyRL on AMD GPUs, from @AMD
🧑🏻‍💻 Training knowledge work agents with SkyRL, from the SkyRL team (@charlie_ruan)

We’ll also do a deep dive into the library and talk about the road ahead. More details here: luma.com/y4ahouh6

View quoted post on X

Nithin Chalapathi Verified account @nithinch10 · Apr 24

SkyRL now supports end-to-end vision-language post-training, from SFT to agentic RL, and adds vision model support to SkyRL’s Tinker interface! Existing multimodal cookbooks, e.g. VLM classification, work out of the box:

View quoted post on X