inference
6 articles
Apprentice Scribe Hedgehog at the Oracle Tower: Sneaking in Answers Made the Prophecies Several Times Faster, and the Oracle Didn't Lose a Single Word. Speculative Decoding 101
Every time the clockwork Oracle in the Oracle Tower spits out one word, the entire tome has to be hauled up from the bottom of the tower. Mogu, the apprentice scribe hedgehog in the mushroom hat, gets bored enough to start writing answers in advance. The prophecies get several times faster, and not one word changes. This light-novel-style tutorial teaches speculative decoding: why LLM generation is stuck on memory bandwidth, how a small model guesses ahead, how the big model checks a whole row at once, and the acceptance rule that leaves the output probability distribution exactly unchanged.
InferenceX v2: NVIDIA Blackwell's Benchmark Massacre and AMD's Software Debt
SemiAnalysis benchmarked ~1,000 GPUs across NVIDIA and AMD lineups. GB300 NVL72 hits 100x over H100 — Jensen's 30x was an underestimate. AMD FP8 competes, but FP4+disagg+wideEP combo falls apart in software.
Artificial Analysis Launches AA-AgentPerf: The Hardware Benchmark Built for the Agent Era
Artificial Analysis launches AA-AgentPerf, a hardware benchmark that uses real coding agent trajectories instead of synthetic queries. It allows production optimizations, measures per-accelerator/per-kW/per-dollar efficiency, and scales from single cards to full racks.
GTC 2026: Nvidia's Inference Empire Keeps Expanding — Groq IP Deal, LPU Decoded, CPO Roadmap
SemiAnalysis's deep dive on GTC 2026: Nvidia's $20B Groq IP deal to acquire LPU tech, plus updates on AFD, CPO, Kyber/Oberon, Vera ETL256, and CMX/STX. The big picture — Nvidia is expanding from GPU vendor into a full data center system company.
NVIDIA Nemotron 3 Super: A 120B Open-Source Model That Only Uses 12B at a Time
NVIDIA released Nemotron 3 Super, a 120B parameter open-source reasoning model with only 12B active parameters. It combines Mamba and Transformer in a hybrid MoE architecture, scores 36 on the Intelligence Index, and runs at a blistering 484 tok/s.
OpenAI × Cerebras: Codex-Spark Codes 15x Faster — But What's the Catch?
OpenAI released GPT-5.3-Codex-Spark, its first model on Cerebras chips. It's incredibly fast (>1000 tokens/sec, 80% lower latency), but smaller, no auto-tests, Pro-only. This marks OpenAI's first production deployment on non-Nvidia hardware, redrawing the AI compute landscape.