Buying guides by David L.
Buy the hardware that fits the work
Clear recommendations for video cards and desktop AI systems. No fake benchmarks, no spec-sheet worship, and no pretending every expensive part is worth buying.
Video cards
Best GPUs for local AI: what to buy by memory and budget
Choose a local-AI GPU by usable VRAM, software support, and whether one large card or multiple used cards best fits the workload.
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Video cards · Updated October 6, 2026
Should you buy a used GPU? Value, tests, and warranty
Buy a used graphics card only when its total cost beats a suitable new card, you can test the exact unit, and the return or warranty terms are clear.
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Desktop AI · Updated October 2, 2026
Best desktop AI systems: DGX Spark and the GB10 alternatives
Choose DGX Spark or a GB10 alternative by workload fit, including the announced 64 GB option, 128 GB headroom, storage, support, and exact price.
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Video cards · Updated September 22, 2026
When should you upgrade your GPU?
Upgrade your graphics card when it misses a measured target in the games or applications you use, not because prices might rise or a new feature exists.
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Buying advice · Updated September 15, 2026
AI workstation, DGX Spark, or Mac Studio: which should you buy?
Choose an RTX workstation, DGX Spark, or Mac Studio by model fit, memory bandwidth, software support, upgradeability, and total cost.
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Video cards · Updated September 8, 2026
How much VRAM do you need for 1440p gaming?
Buy 12 GB as the practical floor for 1440p gaming and choose 16 GB when you want high textures, ray tracing, mods, or a longer upgrade cycle.
How these guides work
Recommendations start with the product specifications and verified price data published on this site. Manufacturer claims are labeled and linked. If I have not tested something hands-on, I will not call it a review or invent claims about performance, noise, thermals, or reliability.