Browse the latest analysis, comparisons and practical technology guides.
RTX 5080 vs RTX 4090 on published specs — the older card has 24GB and a 384-bit bus against 16GB and 256-bit, which decides most creative workloads.
Core Ultra 9 285K multitasking analyzed from Intel published specs — why dropping hyperthreading changes the trade, plus the 250W cooling requirement.
The AI tools for literature reviews worth using retrieve and cite rather than generate — stage-by-stage reliability, verification discipline and journal disclosure.
A data science workstation build ordered by what actually stalls — memory sizing against dataset size, when the GPU matters, storage layout and three configurations.
How to fine-tune a local model for security work — when LoRA beats retrieval, dataset construction, the sensitive-data problem and testing for regression.
Choosing the best local AI web UI is a privacy audit first — bind address, authentication and conversation storage — then four classes of interface compared.
Hardware for 70B models comes down to 35GB of 4-bit weights plus context, and bandwidth divided by model size — with four routes and the real speed each delivers.
A local coding model comparison that starts with context length and memory fit — why coding benchmarks travel badly, licence traps, and a ten-task test harness.
VRAM optimization for local AI beyond quantization — context length as a free lever, quantizing the cache, tuning layer offload and housekeeping that reclaims GBs.
Local AI cost modeling with real arithmetic — what a self-hosted card costs per year, what hosted costs per request, and where the break-even actually falls.
