Free PDF — Buying Reference

The AI Hardware Buyer's Guide

2026 Edition · From $300 to $30,000, the Real Math

Every AI hardware decision in 2026 in one reference. RTX 5090 vs 4090 vs AMD. ROCm vs CUDA. M5 Max vs workstation. Multi-GPU rigs and used-server bargains. Real benchmarks and 2026 prices, not marketing.

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Real 2026 Prices Every hardware tier with current street prices. Not MSRP, not best-case — what you'll actually pay this week.
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Benchmarks by Workload Tokens/sec for chat, RAG, fine-tune, image gen — measured on the exact hardware, not extrapolated.
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The Break-Even Math When does each tier pay back vs Claude/GPT API spend? Worked examples for solo dev, team, and prod.
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Used-Server Pathway eBay datacenter cards (A100, MI100, V100) — when they're a steal, when they're a money pit.

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What's Inside

Consumer GPUs

  • RTX 5090 / 4090 / 4080 / 4070 — actual 2026 prices
  • AMD RX 7900 XTX / 7800 XT via ROCm
  • Intel Arc B580/A770 for ML
  • Used RTX 3090 — still the value king

Apple Silicon

  • M5 Max / M5 Ultra / M4 Pro for LLMs
  • Unified memory math: how much VRAM is real
  • MLX vs llama.cpp vs Ollama performance
  • Mac Studio vs MacBook Pro for AI work

Datacenter & Workstation

  • H100 / H200 — buy, lease, or rent?
  • Used A100 80GB on eBay — when it makes sense
  • Multi-GPU rigs: PSU, PCIe, NVLink reality
  • AMD MI300X / MI100 — the underdog play

Buying Strategy

  • ROI math vs cloud APIs by workload
  • Watts/perf and your electricity bill
  • Resale value forecast — when to upgrade
  • Final recommendations by use case + budget