#gpu-acceleration
66 episodes · Page 2 of 3
#2456: Choosing Between AI Cloud Providers
A practical guide to choosing between Modal, RunPod, Nebius, and Baseten for AI workloads.
#2432: The Hidden Cost of Flexibility in Chip Design
The economics and engineering of ASICs vs. CPUs and GPUs, from transistor placement to hyperscaler strategy.
#2431: The 3 Markets in an AI Trench Coat
GPUs, LPUs, and ASICs: why the best hardware for AI depends entirely on what you're trying to do.
#2376: When States Mine Their Way Out of Sanctions
How Iran turns cheap electricity into cryptocurrency to bypass sanctions—and the tradeoffs of this digital alchemy.
#2177: Skip Fine-Tuning: Shape LLMs With Alignment Alone
Can you build a personalized LLM by skipping traditional fine-tuning and using only post-training alignment methods like DPO and GRPO? We break dow...
#2115: Why AI Answers Differ Even When You Ask Twice
You ask an AI the same question twice and get two different answers. It’s not a bug—it’s physics.
#2065: Why Run One AI When You Can Run Two?
Speculative decoding makes LLMs 2-3x faster with zero quality loss by using a small draft model to guess tokens that a large model verifies in para...
#2063: That $500M Chatbot Is Just a Base Model
That polite chatbot? It started as a raw, chaotic autocomplete engine costing half a billion dollars to build.
#2017: The Art of Squeezing AI Models onto Your GPU
Those cryptic letters on Hugging Face actually map how much brain power you trade for speed.
#1992: The Sovereign Compute Shift: Owning vs. Renting AI Iron
Israel is building a sovereign AI supercomputer with 4,000 Nvidia B200 GPUs to keep startups local.
#1940: Why Google's 31B Model Fits in Your GPU
Google just dropped Gemma four, and its 31-billion-parameter size is a masterclass in hardware-aware AI design.
#1820: Renting vs. Owning GPUs: The Break-Even Math
Is it cheaper to rent serverless GPUs or buy your own hardware? We break down the math on utilization, depreciation, and hidden costs.
#1809: The TTS Developer's Dilemma: Size vs. Speed
Stop guessing. We break down the critical trade-offs between model size, latency, and sample rate for production-ready voice apps.
#1807: The ABI Trap: Why GPUs Break Docker's Promise
Docker promised "run anywhere," but GPU images make you compile for hours. Here’s why the abstraction breaks down.
#1806: Why Mac Minis Are Eating AI's Hardware Race
Apple 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.
#1752: Whisper Small Beats Whisper Large in Speed & Accuracy
A 4GPU benchmark on Ubuntu shows the 1.5B parameter Whisper Large is slower and less accurate than the tiny Whisper Small.
#1534: The Terminal Trap: When Productivity Paranoia Becomes a Full-Time Job
Stop drowning in terminal tabs. Discover how tools like Zellij and Ghostty are transforming the command line into an Agentic Development Environment.
#1224: Cracking the CUDA Code: NVIDIA’s Software Dominance
Discover why NVIDIA’s CUDA is the oxygen of the AI industry and how tools like OpenAI’s Triton are finally challenging its 20-year software moat.
#1109: The T-FLOP Trap: Measuring the Power of Modern AI
Are teraflops the "horsepower" of AI, or just a marketing gimmick? Explore why raw compute speed isn't the whole story in the race for AI power.
#1102: Beyond the Boost: Mastering Modern GPU and RAM Tuning
Is manual hardware tuning still worth it? Discover why undervolting and curve optimization are the new secrets to peak PC performance.
#1081: The K-V Cache: Solving AI’s Invisible Memory Tax
Why does your AI get slower as you chat? Discover the K-V cache, the invisible bottleneck of generative AI, and how we're fixing it in 2026.
#1021: The Python Paradox: Why AI's Backbone Is a Nightmare to Deploy
Why did a 1980s hobby project become the backbone of AI? Explore the history of Python and the chaos of modern dependency management.
#675: From Digital Libraries to Intelligence Factories
From liquid cooling to nuclear power, Herman and Corn explore how AI is transforming data centers into high-density "intelligence factories."
#663: The Three Pillars of Workstation Performance
Is a high-end desktop enough, or do you need a workstation? Herman and Corn break down the "three pillars" of professional hardware.