Expired50% confidenceFactExact time
All key architectural components achieved behavioral alignment between the SGLang inference engine and the Megatron training engine.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/12/2026
First Seen
Valid until: 10/10/2026(expired)
Sources
DeepSeek-V4 Flash RL Training Successfully Ported to AMD MI355X GPU: A Complete Breakdown
twitterlmsysorg7/10/2026
Related Claims
UnverifiedGrok 4.5's technical foundation is the V9 architecture with 1.5 trillion parameters, and it incorporates Cursor's programming data for reinforcement training.61% similarUnverifiedNVIDIA的Megatron-LM、Microsoft的DeepSpeed为大规模分布式训练提供基础设施，ZeRO用于降低GPU显存占用57% similarUnverifiedCPU、GPU、NPU的协同调度由英特尔的OpenVINO框架统一管理57% similarUnverifiedNemotron系列基于Transformer架构构建，在训练阶段利用DGX SuperPOD等超大规模GPU集群，并通过NeMo Framework进行全流程管理57% similarUnverifiedNVIDIA Isaac Gym uses Position-Based Dynamics and the TGS solver to simulate thousands of robot environments in parallel on a single GPU, sacrificing some physical accuracy in exchange for large-scale parallelism.57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/490944API
curl https://kongchang.com/api/v1/knowledge/claims/490944MCP
get_claim(id=490944)