ONNX Runtime
Cross-platform ML inference engine
Episodes
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#5900: Serving DeepSeek-V4.1-Flash on Your Own GPUFive inference engines, one frontier MoE, and a shortlist that collapses depending on which GPU you already bought. -
#5481: Small Models, Big Guardrails: PII Detection in ChatGPTA tiny 600M parameter model is quietly scanning your ChatGPT tool calls for PII. Here's how that class of guardian model actually works. -
#5456: Parakeet vs Whisper: Picking a Phone ASR ModelWhy Whisper loses on Android, why Parakeet v2 beat v3, and how to benchmark speech-to-text without any tooling. -
#5419: The Attention Budget in Your PocketWhy phone dictation runs out of room, and how bounded attention windows buy you punctuation without blowing your memory budget. -
#3995: Can Your Phone Upscale Photos Without the Cloud?Local upscaling on phones is here — but which approach actually works? -
#3322: Desk Pets: Local AI on Your DesktopAre desk pets useful tools or expensive Tamagotchis? We break down the local AI, privacy tradeoffs, and psychology behind these devices. -
#2041: The "MPEG Moment" for AI: Llamafile & Native ModelsWhy are we squeezing massive cloud models onto desktops? Meet the "native" AI revolution. -
#1806: Why Mac Minis Are Eating AI's Hardware RaceApple Silicon's unified memory is crushing traditional GPUs for local LLMs. Here's why the M4 Mac Mini is the new king of affordable AI hardware. -
#120: Silencing the Siren: Real-Time AI Noise ReductionHow do phones remove sirens and crying babies in real time? Explore the neural networks and hardware making crystal-clear audio possible. -
#18: Beyond the GPU: Unpacking AI's Chip RevolutionBeyond the GPU: we're unpacking AI's chip revolution. Discover the crucial, often overlooked world of AI's fundamental building blocks. -
#9: Benchmarking Custom ASR Tools - Beyond The WERBenchmarking custom ASR fine-tunes: We're diving deep beyond the WER to truly measure performance. -
#3: Safetensors or something else: STT inference formats explainedUnpacking ASR weight formats: Safetensors and beyond. Tune in to understand the distinctions.