Halo RL training platform launches with SGLang as primary rollout engine
ying11231 · x · 2026-09-22
The SGLang team congratulated Whitecircle on launching Halo, their RL training platform, and detailed the integration: SGLang serves as Halo's primary rollout engine, running in an isolated serving environment that returns token IDs, logprobs, and MoE routing to the trainer, with weights synced over NCCL and generation overlapped across servers.
- Halo supports more than supervised fine-tuning: async RL and training with external environments
- The two teams partnered to make SGLang the core rollout infrastructure
More from Infra
- One of the biggest AI launches ever stayed up under crazy load, out-uptimeing Anthropic — hardimanjames · 2026-09-22
- CPU:GPU Ratios and the Race to the Scale Up Domain: Agentic AI Is Reshaping Datacenter CPU Demand — BenBajarin · 2026-09-22
- AMD details EPYC Venice: 2.24x SPECrate lead over NVIDIA Vera, 256-core flagship — ryanshrout · 2026-09-22
- python-build-standalone enables full LTO for CPython 3.12+, modestly boosting runtime — charliermarsh · 2026-09-22
- Measured trade-offs of three REAP-pruned Qwen3.8-Flash-Next MLX builds on Apple Silicon — MensaProdigy · 2026-09-22
- Dev claims further-optimized DeepSeek V4 NVFP4 uses 190GB of 192GB VRAM — HankYeomans · 2026-09-22