#gpu-acceleration
57 episodes
#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.
#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.
#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.
#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.
#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.
#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.
#2938: How to Prevent Linux Desktop Crashes Under Heavy Load
Stop losing work to memory exhaustion, CPU lockups, and GPU hangs on Linux workstations.
#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.
#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.
#2779: The Hidden Stateful Side of Serverless GPU
How Modal, RunPod, and other platforms handle container builds, caching, and versioning under the hood.
#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.
#2622: How Transformers Actually Work: Attention, Tokens, and Context
How one architectural change unlocked chatbots, image generation, and protein folding — explained without the jargon.
#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.
#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.
#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.
#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.