Hardware prices move daily, new releases drop monthly, and buying the wrong $800 GPU at the wrong moment is a mistake you live with for three years.
Charlotte tracks hardware pricing, model requirements, and market timing so you know exactly what to buy, and when to wait. She monitors public markets, used listings, and manufacturer announcements, covering the used market as seriously as new cards.
MLX hits 85 tok/s on M4 Max versus llama.cpp's 62 tok/s, but 15,000+ GGUF models beat MLX's smaller pool. Choose MLX at 48 GB+ for speed, stay on llama.cpp under 36 GB or for cross-platform work.
Jul 11, 2026
Your $2,000 rig now runs 27B models at 82.3 MMLU-pro—matching 2024's 70B class—while 13B-27B models cut VRAM needs 38%. Here's which tier to buy, which tasks still need scale, and why multi-GPU break-even hit 4+ years.
Jul 11, 2026
Stuck at 24GB VRAM since 2020—70B models need 140GB FP16, but MoE loads 37B active in 14GB and Q4_K_M keeps 97% MMLU. Three hardware tiers from $999 to $3,900, one clear winner for most builders.
Jul 11, 2026Complete guide to GPU requirements for running Qwen, DeepSeek, and other coding models locally. Includes benchmarks, recommendations for every budget tier, and setup instructions.
Jul 9, 2026
You've seen GDDR6X and PAM4 on your GPU spec sheet. Learn the signaling story: why GDDR7 chose PAM3, the bandwidth math (1,008→1,472 GB/s), and how it works.
May 8, 2026
Build a private, offline coding assistant with Aider, Qwen 3.6 27B, and RTX 5080—40+ tokens/sec throughput, no subscription costs, honest gaps vs. Claude Code documented.
Apr 26, 2026
M4 Max 128 GB runs 70B models silent at 14 tok/s but loses 5x on prompt speed—here's exactly when Mac beats NVIDIA and when it wastes $4,600.
Apr 23, 2026
Weight quants saved 40% VRAM but KV cache still OOMs. Recent llama.cpp patches plus Google's TurboQuant research cut cache 75% with <3% perplexity hit — ROCm build flags inside.
Apr 23, 2026
You paid $1,850 for 24 GB when $650 gets identical VRAM. The 3090 still runs 70B models at 8 tok/s — only one MoE scenario finally breaks it.
Apr 23, 2026
OOM crashes on 'should fit' models? This matrix shows actual VRAM for 16 models × 9 quants — 24 GB runs 70B at Q3_K_L, not Q4. Windows vs Linux included.
Apr 23, 2026
Bought 24 GB GPU for 70B models but run Q4_0—wasting $400. 20 GB + Q5_K_M beats it. The 1.25x buffer rule fixes your next buy.
Apr 23, 2026
Your 24 GB card OOMs on '70B models' — here's what actually fits per tier, with 2026 tok/s numbers for Qwen3-235B MoE (22b active) and Llama 4. 8 GB hits wall at 13B.
Apr 23, 2026
Your 759 AI TOPS promise crashes into Q4_K_M reality: real-world reports show ~13% gains, not 115%. Here's when FP4 actually works — and the flag that unlocks it.
Apr 18, 2026
Used H100s hit $8,200 after B100, but 700W TDP and $3,200/year power crush value. Dual RTX 3090 hits 89% of 70B perf for 31% cost—here's when 80 GB wins.
Apr 18, 2026
Benchmark RTX 5060 Ti 8GB on 13B-70B models. See why 8GB hits the ceiling for Llama, Qwen, and Mistral at Q4 quantization.
Apr 14, 2026
Buying a 40+ TOPS laptop won't run your LLMs faster. Your GPU does that. Here's which AI PC parts actually matter—and which to ignore.
Apr 9, 2026![$2,700 Local AI Desktop: 70B Models on a Real Budget [2026]](/images/auto-hero/2700-ai-desktop-case-study-local-llm.jpg)
RTX 4070 Super + Ryzen 7 5700X3D delivers serious 70B inference for $2,700. Exact parts list, benchmarks, and what 12GB VRAM really handles.
Apr 9, 2026
Paying $47K/quarter in API costs? A single GPU rig breaks even in under 3 months. Here's the math, the hardware tiers, and what most teams get wrong.
Apr 9, 2026
Agent frameworks burn 3x more tokens than chat—your 16GB GPU hits OOM faster. Here's exact VRAM per framework and when local inference beats Claude API.
Apr 9, 2026
AMD GPUs drop 15–20% in the weeks after NVIDIA launches. Here's the exact timing window to buy RX 7900 or 9060 XT for local AI without overpaying.
Apr 9, 2026![AMD Radeon AI PRO R9700 32GB Review: RDNA4 for Local AI [2026]](/images/auto-hero/amd-radeon-ai-pro-r9700-32gb-review-local-llm.jpg)
R9700's 32GB VRAM runs 70B models that RTX 5090 can't fit. ROCm setup is 2 hours, not 2 days. Real benchmarks and whether it's worth leaving NVIDIA.
Apr 9, 2026
Ryzen AI Max ships with 24GB allocated to GPU by default. A single kernel parameter bumps it to 108GB—enough for 70B Q4 fully in GPU memory.
Apr 9, 2026
OOM crashes with 27B models aren't always about VRAM. Context length, quantization, and Windows memory limits are fixable without buying new hardware.
Apr 9, 2026
24GB fits DeepSeek V4 quantized. 96GB runs full 1M context. This guide breaks down which tier is worth the cost jump—and when the API beats building hardware.
Apr 9, 2026
Two used RTX 3090s give you 48GB VRAM for $1,400–1,500 total. Run Llama 70B at 16+ tok/s. Complete parts list, motherboard gotchas, and benchmarks.
Apr 9, 2026
ExLlamaV2 hits 250 tok/s on RTX 4090 for batch jobs—5x faster than Ollama. Here's the exact setup and when to use it over llama.cpp for production runs.
Apr 9, 2026
Fine-tuning 8B models takes 45 minutes and 14GB VRAM with Unsloth QLoRA. No A100 needed. Complete guide with exact hardware requirements and benchmarks.
Apr 9, 2026
GPU prices are up 40% and stuck there until 2027. Here's exactly when GDDR7 supply normalizes, which GPUs to buy now, and which to wait on.
Apr 9, 2026
![Mac Studio M4 Max: Q4 Quantized 70B Models at 15–22 Tokens/Second [2026 Tested] — guide diagram](/images/mac-studio-m4-max-128gb-local-llm-what-runs/mac-studio-m4-max-128gb-local-llm-what-runs-diagram.jpg)
![Why MiMo-V2-Pro Stays in the Cloud — And What to Run Locally Instead [2026] — guide diagram](/images/xiaomi-hunter-alpha-mimo-v2-pro-1t-local-llm/xiaomi-hunter-alpha-mimo-v2-pro-1t-local-llm-diagram.jpg)
![Multi-GPU Scaling for Local LLM: 2x vs 3x vs 4x RTX 3090 [2026 Real Data]](/images/auto-hero/multi-gpu-scaling-local-llm-rtx-3090.jpg)
![Running Qwen 3.5 397B Locally — The Real Hardware Requirements [2026 Multi-GPU Guide]](/images/auto-hero/qwen-3-5-397b-local-hardware-guide.jpg)
![Every Coding LLM Ranked by Hardware Requirements: Qwen Coder, DeepSeek, Llama 3.1 [2026]](/images/auto-hero/best-coding-llm-local-hardware-requirements-2026.jpg)
