Data Science Wire

How we trained the fastest DSpark for Kimi-K3 using GB300 NVL72

vLLM BlogSep 154 min read

How Speculators and Mooncake enabled multi-node DSpark training for Kimi K3.

Read the full story at vLLM Blog →

More in MLOps / LLMOps

Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train

MLOps / LLMOpsGoogle Research7h

LB

A Practical LLM Pretraining Pipeline with LanceDB

MLOps / LLMOpsLanceDB Blog9h

RR

Suggestions from all of you guys is needed, please respond this text [D]

MLOps / LLMOpsReddit r/MLOps/u/Initial-Street63889h

NT

How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Inference on NVIDIA Vera Rubin

MLOps / LLMOpsNVIDIA Technical Blog - AITanya Lenz10h

NT

How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories

MLOps / LLMOpsNVIDIA Technical Blog - AIElizabeth Goodman10h

AM

Optimizing cost and latency with Amazon Bedrock prompt caching

MLOps / LLMOpsAWS Machine Learning BlogDaniel Abib11h