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CUDA Lock-In Is Real: A Precise Cost Accounting of What Switching GPU Vendors Actually Breaks
Switching away from CUDA isn't one migration — it's five separate porting problems, hidden revalidation costs, and an org chart that fights you the whole way.
BitByteCore Silicon Desk · Aug 6, 2026 · 9 min read

How Much VRAM You Actually Need to Run a Local LLM
VRAM is the hard constraint on running a local LLM. Here's the real math — parameters, precision, quantization, KV cache — what fits on 8GB, 24GB, 32GB, and unified-memory machines, plus where quality and speed actually break.
BitByteCore AI Desk · Aug 5, 2026 · 7 min read

The best local LLM runners in 2026: Ollama, LM Studio, vLLM, and more
For most people the best local LLM runner in 2026 is still Ollama — free, cross-platform, out of your way. But LM Studio, vLLM, Apple MLX, llama.cpp, Jan, GPT4All, and Open WebUI each win a specific job. Here's which to pick — and what actually fits your GPU.
BitByteCore Research · Aug 4, 2026 · 9 min read

The best home-server hardware for self-hosting AI in 2026
The used RTX 3090 is still the value pick for local AI in 2026 — but a brutal memory shortage reshuffled every price, and 128GB unified boxes (DGX Spark, Strix Halo, Mac Studio) now run big MoE models a 24GB GPU can't hold. Here's what to actually buy.
BitByteCore Research · Aug 3, 2026 · 13 min read

The best cloud GPU providers for AI training in 2026
CoreWeave shipped NVIDIA's GB300 NVL72 first and runs GB200 at scale; Google's Ironwood TPU reached GA in late 2025; AWS and Azure now ship Blackwell; Lambda and Nebius rent B200 affordably. A skeptic's 2026 buyer's guide to hardware, trade-offs, and representative pricing.
BitByteCore Research · Aug 3, 2026 · 11 min read
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