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科技

1 个榜单15小时前更新默认榜单

LMSYS Blog

15小时前更新

01
SGLang and Miles Add Day-0 Support for Qwen3.8 - LMSYS Org
SGLang and Miles Add Day-0 Support for Qwen3.8 LMSYS OrgLMSYS Org
02
Unified Radix Cache: One Tree for Hybrid Model Prefix Caching - LMSYS Org
Unified Radix Cache: One Tree for Hybrid Model Prefix Caching LMSYS OrgLMSYS Org
03
SGLang Adds Day-0 Support for NVIDIA Nemotron 3.5 Lightning - LMSYS Org
SGLang Adds Day-0 Support for NVIDIA Nemotron 3.5 Lightning LMSYS OrgLMSYS Org
04
SGLang Adds Day-0 Support for Muse Glimmer, a Multimodal Model Built for Local Agentic Workflows - LMSYS Org
SGLang Adds Day-0 Support for Muse Glimmer, a Multimodal Model Built for Local Agentic Workflows LMSYS OrgLMSYS Org
05
HPC-Ops × SGLang: High-Performance Attention, Router GEMM, and MoE Kernels from Tencent Hunyuan - LMSYS Org
HPC-Ops × SGLang: High-Performance Attention, Router GEMM, and MoE Kernels from Tencent Hunyuan LMSYS OrgLMSYS Org
06
Full-Stack Performance Optimization of AR+DiT in SGL-Diffusion - LMSYS Org
Full-Stack Performance Optimization of AR+DiT in SGL-Diffusion LMSYS OrgLMSYS Org
07
SpecForge v0.3.0: a Unified Disaggregated and Colocated Speculative Decoding Stack, and New Open SpecBundle Draft Models - LMSYS Org
SpecForge v0.3.0: a Unified Disaggregated and Colocated Speculative Decoding Stack, and New Open SpecBundle Draft Models LMSYS OrgLMSYS Org
08
RadixArk Joins Forces with Google to Bring Full SGLang Features to TPUs - LMSYS Org
RadixArk Joins Forces with Google to Bring Full SGLang Features to TPUs LMSYS OrgLMSYS Org
09
Towards Blackwell-Native 8-bit and 4-bit RL: End-to-End MXFP8 and NVFP4 RL in Miles - LMSYS Org
Towards Blackwell-Native 8-bit and 4-bit RL: End-to-End MXFP8 and NVFP4 RL in Miles LMSYS OrgLMSYS Org
10
Toward a Cleaner Quantization Stack in SGLang - LMSYS Org
Toward a Cleaner Quantization Stack in SGLang LMSYS OrgLMSYS Org
11
SGLang and Miles Add Day-0 Support for Kimi K3 - LMSYS Org
SGLang and Miles Add Day-0 Support for Kimi K3 LMSYS OrgLMSYS Org
12
OPD Support in Miles - LMSYS Org
OPD Support in Miles LMSYS OrgLMSYS Org
13
SGLang and Miles Add Day-0 Support for Inkling, a Frontier Multimodal Model - LMSYS Org
SGLang and Miles Add Day-0 Support for Inkling, a Frontier Multimodal Model LMSYS OrgLMSYS Org
14
Serving GLM5.2 NVFP4 Agentic Workload with SGLang: Reaching 500 TPS in 2 Weeks - LMSYS Org
Serving GLM5.2 NVFP4 Agentic Workload with SGLang: Reaching 500 TPS in 2 Weeks LMSYS OrgLMSYS Org
15
Accelerating SGLang HiCache with Netpreme X-Mem™ MPU - LMSYS Org
Accelerating SGLang HiCache with Netpreme X-Mem™ MPU LMSYS OrgLMSYS Org
16
DSpark in SGLang: Speculative Decoding with Confidence-Driven, Variable-Length Verification - LMSYS Org
DSpark in SGLang: Speculative Decoding with Confidence-Driven, Variable-Length Verification LMSYS OrgLMSYS Org
17
Agent-Assisted SGLang Development: An Initial Exploration - LMSYS Org
Agent-Assisted SGLang Development: An Initial Exploration LMSYS OrgLMSYS Org
18
Improving DeepEP MoE Load Balance in SGLang with Waterfill and LPLB - LMSYS Org
Improving DeepEP MoE Load Balance in SGLang with Waterfill and LPLB LMSYS OrgLMSYS Org
19
MOSS-TTS Local Transformer v1.5 on SGLang-Omni: Serving Native-Streaming 48 kHz Speech - LMSYS Org
MOSS-TTS Local Transformer v1.5 on SGLang-Omni: Serving Native-Streaming 48 kHz Speech LMSYS OrgLMSYS Org
20
The next generation of speculative decoding: DFlash and Spec V2 - LMSYS Org
The next generation of speculative decoding: DFlash and Spec V2 LMSYS OrgLMSYS Org
21
Announcing the Recipient of the 2026 LMSYS PhD Fellowship - LMSYS Org
Announcing the Recipient of the 2026 LMSYS PhD Fellowship LMSYS OrgLMSYS Org
22
Higgs Audio v3 TTS on SGLang-Omni: Real-Time, Controllable Speech for Voice Agents - LMSYS Org
Higgs Audio v3 TTS on SGLang-Omni: Real-Time, Controllable Speech for Voice Agents LMSYS OrgLMSYS Org
23
SGLang and Miles Add Day-0 Support for NVIDIA Nemotron 3 Ultra for Long-Running Autonomous Agents - LMSYS Org
SGLang and Miles Add Day-0 Support for NVIDIA Nemotron 3 Ultra for Long-Running Autonomous Agents LMSYS OrgLMSYS Org
24
Heterogeneous CPU + GPU EPD Disaggregation to Boost VLM Serving - LMSYS Org
Heterogeneous CPU + GPU EPD Disaggregation to Boost VLM Serving LMSYS OrgLMSYS Org
25
Win on TCO: How AMD Instinct™ MI355X Achieves Cost-Competitive Distributed Inference Through SGLang with MoRI - LMSYS Org
Win on TCO: How AMD Instinct™ MI355X Achieves Cost-Competitive Distributed Inference Through SGLang with MoRI LMSYS OrgLMSYS Org
26
Updating 1T parameters in seconds — P2P weight transfer in Large Scale Distributed RL - LMSYS Org
Updating 1T parameters in seconds — P2P weight transfer in Large Scale Distributed RL LMSYS OrgLMSYS Org
27
DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles - LMSYS Org
DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles LMSYS OrgLMSYS Org
28
HiSparse: Turbocharging Sparse Attention with Hierarchical Memory - LMSYS Org
HiSparse: Turbocharging Sparse Attention with Hierarchical Memory LMSYS OrgLMSYS Org
29
Highlights of SGLang at NVIDIA GTC 2026 - LMSYS Org
Highlights of SGLang at NVIDIA GTC 2026 LMSYS OrgLMSYS Org
30
ROCm Support for Miles: Large-Scale RL Post-Training on AMD Instinct™ GPUs - LMSYS Org
ROCm Support for Miles: Large-Scale RL Post-Training on AMD Instinct™ GPUs LMSYS OrgLMSYS Org

共 30 条热搜查看完整榜单