AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work compares four reference designs on XDNA 1 and XDNA 2: one runs each operator separately, two stream between operators on chip, and one fuses all three attention stages into a single kernel, which covers twelve LLM configurations, from BERT to DeepSeek, up to 128K tokens.
DBloom speeds up generation with an efficient draft model (drafter) that proposes tokens for a target model to verify in one pass, preserving the target's output distribution and recommending the histogram as a preflight check before spending training compute.
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