Cross-Attention in Multimodal AI: When One Stream Needs to Read Another
A practical guide to cross-attention, from Q/K/V to Stable Diffusion’s text-conditioned U-Net and cross-modal dimension design.
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LFT and Topology Exports in InfiniBand: Diagnose the Fabric Without Expanding the Attack Surface
A practical, evidence-based framework for collecting and handling InfiniBand LFT, topology, and UFM snapshot data without exposing the management plane.
Read MoreThe Decision Engine Behind Fused Attention: How Transformer Engine Orchestrates cuDNN on Blackwell
A source-grounded tour of Transformer Engine’s fused-attention dispatch: cuDNN Graph API, versioned backend eligibility, Blackwell paths, kernel-pipelining context, and deterministic training constraints.
Read MoreMegatron-Bridge in Practice: A Production 101 Guide to the Nemotron, Megatron-Core, and Transformer Engine Stack
A technical guide to the architecture, repository layout, parallelism-aware conversion mechanics, and an import→fine-tune→export workflow for NVIDIA’s Megatron stack.
Read MoreFMHA 101: From Transformer Attention to a CUDA Flash Attention Kernel
A beginner-friendly, code-oriented introduction to Transformer attention, multi-head attention, online softmax, and a tiled CUDA FMHA forward kernel.
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