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#gpu-acceleration

66 episodes

#5411: Fine-Tuning at 4-Bit vs 16-Bit: What It Really Costs

QLoRA cuts fine-tuning VRAM 15x and cost up to 85% — but you pay in training time, quality, and safety alignment.

fine-tuningquantizationgpu-acceleration

#5044: Abilene's AI Arms Race: Power, Water, and Backlash

Why a Texas town of 100,000 is hosting the biggest AI build ever—and why locals are starting to push back.

infrastructuregpu-accelerationdata-storage

#4973: Building a Pure AI Inference Server

Why your "AI server" should look more like a database than a web app, and how to actually build one.

ai-inferencegpu-accelerationhardware-engineering

#4972: CPU vs GPU Inference: When to Skip the GPU

Why running AI on CPU isn't a toy — and when the GPU advantage vanishes.

gpu-accelerationinference-parametershardware-engineering

#4717: Building a Home Whisper Server: The Full Spec

Daniel wants a dedicated home server for Whisper dictation. Here's the exact build — GPU, RAM, storage, and runtime — to make it work.

speech-recognitionlocal-aigpu-acceleration

#4456: Inside the Podcast Pipeline: How 15 Weekly Episodes Get Made

From prompt to published episode — a full walkthrough of the automated production system running 15 shows weekly.

audio-engineeringgpu-accelerationspeech-recognition

#4455: Borrowing a GPU Over Your Home Network

Can you use your desktop's AMD GPU from a laptop as if it were local? We explore the real options.

gpu-accelerationhome-labnetworking

#4150: Computing's Hidden Price Surge: DRAM, NAND & GPUs

Why your next PC build costs 32% more than two years ago — and why no one tracks it.

semiconductorsgpu-accelerationhardware-engineering

#3995: Can Your Phone Upscale Photos Without the Cloud?

Local upscaling on phones is here — but which approach actually works?

edge-computingimage-generationgpu-acceleration

#3815: Should You Rack-Mount Your Desktop PC?

Tower form factor fighting you? We explore when and how to rack-mount a desktop for better serviceability and cooling.

hardware-engineeringthermal-managementgpu-acceleration

#3789: What Virtualization Actually Costs on 2026 Hardware

Real benchmarks show 2-6% overhead for single-VM setups. Here's what's actually happening at the CPU level.

hardware-engineeringoperating-systemsgpu-acceleration

#3755: Hermes vs OpenClaw: Mobile-to-Server AI Frameworks

Why developers are leaving OpenClaw for Hermes—and why mobile-to-server AI interaction remains unsolved.

ai-agentsmodel-context-protocolgpu-acceleration

#3218: Building Your Own Cloud in 2026

The software and hardware for a DIY private cloud have never been more feasible. Here's how to pick the right pieces.

diyhome-labgpu-acceleration

#2941: Distrobox: Linux Containers That Feel Like Native Apps

How Distrobox merges container isolation with native desktop integration for immutable distros, GPU work, and messy builds.

dockergpu-accelerationhome-lab

#2940: Distrobox: Linux Containers for Humans, Not Servers

Run any distro's apps on any Linux host—no VM, no dual-boot, no dependency hell.

dockergpu-accelerationsoftware-development

#2938: How to Prevent Linux Desktop Crashes Under Heavy Load

Stop losing work to memory exhaustion, CPU lockups, and GPU hangs on Linux workstations.

gpu-accelerationfault-tolerancehardware-reliability

#2840: How Long Must a Password Actually Be?

The surprising math behind how long your password needs to be to survive a brute-force attack.

gpu-accelerationpasswordless-securityquantization

#2782: Are AI Data Centers Really New or Just Patched Together?

The real bottleneck isn't GPUs — it's power transformers. A look at the physics and economics of AI infrastructure.

infrastructuregpu-accelerationsustainability

#2779: The Hidden Stateful Side of Serverless GPU

How Modal, RunPod, and other platforms handle container builds, caching, and versioning under the hood.

serverless-gpugpu-accelerationversion-control

#2777: GPU Idle Waste and Serverless Green Computing

Why your dedicated GPU burns 130 watts doing nothing, and how serverless platforms cut energy waste by more than half.

gpu-accelerationserverless-gpusustainability

#2622: How Transformers Actually Work: Attention, Tokens, and Context

How one architectural change unlocked chatbots, image generation, and protein folding — explained without the jargon.

transformerslarge-language-modelsgpu-acceleration

#2517: How Unsloth Makes LLM Fine-Tuning 2x Faster

Unsloth cuts memory usage by 50-70% and speeds up training 2.2x for models like Llama 3 and Mistral.

fine-tuninggpu-accelerationopen-source

#2495: How to Bake Personality Into an LLM in 15 Minutes

Fine-tune a model's personality with ~300 examples and a consumer GPU. SFT + DPO explained.

fine-tuningsmall-language-modelsgpu-acceleration

#2464: Batch APIs: The 50% Discount You're Probably Misusing

Batch inference APIs offer 50% off — but only for the right workloads. Here's when they actually make sense.

large-language-modelsai-inferencegpu-acceleration