Systems & accelerators
AI Hardware
Specification analysis and buyer guidance for personal AI supercomputers, GPUs, and local inference systems.
Current research
Every page states its review method and source verification date.
01 / ANALYSIS
NVIDIA DGX Spark: Who Is It Actually For?
A specification-led buyer's guide to DGX Spark, including the workloads it suits, the constraints buyers should verify, and the alternatives worth considering.
02 / ANALYSISHow Much GPU Memory Do You Need for Local LLMs? A Practical VRAM Guide
A practical VRAM planning guide for local LLM inference, covering parameter counts, quantization, context overhead, and when system RAM or cloud GPUs make more sense.
03 / ANALYSISLocal LLM Hardware FAQ: VRAM, Quantization, Context, and Cloud GPUs
Answers to the practical questions that determine whether a local LLM setup will fit, run fast enough, and remain manageable as models and users grow.