The Best GPU for Local AI Right Now (It's Not the 5090)
Автор: Ash
Загружено: 2026-10-19
Просмотров: 26873
Описание:
What's the best GPU for local AI in 2026? I priced every graphics card you can buy this month, from a $300 used RTX 3060 to the $16,000 RTX Pro 6000, and ranked them by three things: does a real model fit, how many tokens per second it writes, and what each gigabyte of VRAM costs.
The test model is Qwen3.8 27B at 4-bit (~18 GB, about 22 GB with a long chat), so 16 GB cards (RTX 5060 Ti, 5070 Ti, 5080) sit just under the line. The used RTX 3090 (24 GB, ~$1,200–1,500) still wins speed per dollar: ~40 tok/s, ~66 with MTP. The Intel Arc Pro B60 gives 24 GB new for ~$650 (~$27 per GB) but writes ~16 tok/s on stock software. The Radeon AI PRO R9700 (32 GB, ~$1,300–1,600) fits 128K-token chats. The RTX 5090 hit 75 tok/s on a short chat but 26 at 64K in one llama.cpp test (a software issue), and it now sells for ~$4,300–5,000 against a $1,999 MSRP.
Also covered: the Strata trick for 12 GB cards (125B Qwen3.8-Flash-Next) and why 64 GB of DDR5 now costs more than the card, used RTX 4090 vs 3090, Arc Pro B70, two RTX 5060 Tis vs one 32 GB card, and an M5 Max MacBook / DGX Spark for comparison. Prices are mid-October 2026 listings and trackers; they move daily, so check before you buy.
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Chapters:
0:00 Intro
0:51 How to judge any GPU
2:15 Why GPUs cost so much right now
2:49 $300: the 12GB cards
4:22 $700: the trap, and the surprise
6:03 $1,200: the old king
7:36 The 32GB card for long chats
9:12 Two cards, or a Mac?
10:22 Where the math gets painful
11:29 The RTX 5090 problem
12:54 All the math on one chart
14:13 My picks at every budget
14:56 The receipt
Sources:
Hardware Corner: We Tested Qwen3.8 27B, How Much GPU and VRAM Do You Really Need? (llama.cpp, Q4_K_S 16.68 GiB, MTP off; RTX 3090 40.3 / 4090 46.2 / 5090 74.8 tok/s at 4K; 5090 26.2 vs 3090 34.0 at 64K; 2× RTX 5060 Ti 22.5; M5 Max 31.4; GB10 12.2; VRAM 18 GB at 4K, 22 GB at 64K, 26 GB at 128K) — https://www.hardware-corner.net/qwen3...
Qwen 3.8 27B on RTX 3090: 41 tok/s, 66 with MTP — https://openclawdc.com/blog/qwen-3-8-...
Guru3D / wccftech / Dexerto: Nvidia's Jeff Fisher (Taipei, Oct 16): RTX 5090 "definitely not discontinued", supply constrained; MSRP $1,999 — https://shattered.io/nvidia-denies-rt...
RTX 5090 retail listings mid-October 2026 (Walmart / Micro Center ~$4,299, B&H ~$4,999, Amazon resellers ~$8,500) — https://bestvaluegpu.com/history/new-...
RTX 50-series street prices (5060 Ti 16GB ~$760, 5070 Ti ~$1,120–1,190, 5080 ~$1,550–1,850) — https://capitalandcompute.net/gpu-pri... · https://videocardprices.com/card/nvid...
Used RTX 3090 price trackers, October 2026 ($1,199–1,400) — https://gpudojo.com/rtx-3090 · https://bestvaluegpu.com/history/new-...
Used RTX 4090 median asking price ~$2,999 (Oct 17) — https://dealhunter.io/prices/rtx-4090
Used RTX 3060 12GB ~$290–320 — https://resaleprices.com/gpu/nvidia-r... · Arc B580 ~$310 — https://www.pcguide.com/news/intel-ar...
Intel Arc Pro B60 24GB: $649.99 at Amazon/Newegg (Oct 14), 456 GB/s — https://gpudojo.com/arc-pro-b60
arc-llm-lab: 27B on Arc Pro B60, stock llama.cpp Vulkan 16 tok/s, 42+ with a draft model — https://github.com/edagher92-coder/ar...
Intel Arc Pro B70 32GB: $949 list, 608 GB/s, street ~$1,050–1,470 — https://www.igorslab.de/en/intel-laun... · B70 llama.cpp tests — https://jonathanmann.tech/blog/intel-...
AMD Radeon AI PRO R9700 32GB: price and community tok/s; prompt processing 2.6–3.4× slower than NVIDIA — https://runaihome.com/blog/amd-radeon... · AMD: Qwen 3.8 27B up to 51.8 tok/s with MTP — https://www.amd.com/en/blogs/2026/run...
Tom's Hardware: RTX Pro 6000 Blackwell priced at $16,000 on Nvidia's store — https://www.tomshardware.com/pc-compo...
Tom's Hardware RAM price index: 64GB DDR5-5600 kit $191 (Aug 2025) → $1,118 (Aug 2026) — https://www.tomshardware.com/pc-compo...
Strata engine: Qwen3.8-Flash-Next 125B on a 12 GB GPU (RTX 3060 47.7 → 62.1 tok/s in release notes) — https://smartscope.blog/en/blog/strat...
Price per GB and tok/s per $1,000 are my calculations from the prices and speeds above.
#LocalAI #GPU #LocalLLM
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