SGLang
Tool ● Covered in 8 stories + Follow
This profile is built automatically from TLDRocket coverage.
Latest developments
Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents
GitHub · 2 weeks ago ·
20
Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding
MarkTechPost · 3 weeks ago ·
41
BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer Thinking Tokens at a 0.86pp Accuracy Cost
MarkTechPost · 3 weeks ago ·
35
What Makes Inference Nondeterministic?
The AI Engineer · 1 month ago ·
18
Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs
MarkTechPost · 1 month ago ·
37
Up to 3.2x Faster Inference with LFM2.5-DSpark
Hugging Face · 1 month ago ·
30
October 2026
StepFun released an open-weight Step 5 Preview Mixture-of-Experts (MoE) model for coding and long-running agent workloads Open source release
Reflection AI releases Beam, an Apache 2.0 open-weight 501B-parameter Mixture-of-Experts LLM with deployment options on Hugging Face and AWS Open source release
September 2026
- Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents
- Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding
- BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer Thinking Tokens at a 0.86pp Accuracy Cost
- What Makes Inference Nondeterministic?
August 2026
Liquid AI released DSpark draft model checkpoints for three LFM2.5 models, enabling speculative decoding to speed up inference Model release
Relationships
Products & technology
- LFM2.5-DSpark integrated with this tool · 2 sources
- ThinkingCap-Qwen3.8-27B integrated with this tool · 1 source
- LFM2.5-VL-3B-DSpark integrated with this tool · 1 source
- Amazon SageMaker HyperPod Inference integrated with this tool · 1 source
- StepFun integrated with this tool · 1 source
Competition
- Magnitude competes with this tool · 1 source