Hardware Guides
52 InsiderLLM guides in Hardware — practical, tested walkthroughs for running AI locally, sorted by most recently updated.
- Run LLMs on Mac M-Series: Faster, Without the Gotchas (2026) Foundational how-to for Apple Silicon local AI: unified memory, MLX vs Ollama vs llama.cpp Metal, verification, and the headless Mac Mini AI server.
- Free Local AI vs Paid Cloud APIs: Real Cost Comparison An RTX 3090 pays for itself in 2 weeks of moderate API usage. Full break-even math for local vs OpenAI, Anthropic, and Google APIs with current 2026 pricing.
- Running 70B Models Locally — Exact VRAM by Quantization Llama 3.3 70B needs 43GB at Q4, 75GB at Q8, 141GB at FP16. Every quant level, which GPUs fit, real speeds, and when a 27B or MoE model is the smarter buy.
- Mac Mini M4 for Local AI: Which Config to Buy and What It Actually Runs Mac Mini M4 Pro 48GB runs Qwen 3.6-35B-A3B silently at 40W. Which config to buy after Apple's 2026 price hikes, and what each tier actually runs for local AI.
- M4 Max and M3 Ultra for Local LLMs: Apple Silicon in 2026 No M4 Ultra exists. After Apple's 2026 memory cuts, the Mac Studio pairs the M4 Max (64GB) with the M3 Ultra (96GB, 819 GB/s). Which to buy for local AI.
- Mac Studio for Local AI: Is It Worth the Price? Mac Studio M4 Max (64GB) and M3 Ultra (96GB) for local LLMs after Apple's 2026 memory cuts. Real tok/s, cost vs dual RTX 3090, and who should buy one.
- Best Apple M5 Pro and Max for Local AI (2026) M5 Pro at 307GB/s, M5 Max at 614GB/s (or 460 on the 32-core bin), up to 128GB — now the highest-memory Mac you can buy. Picks for Qwen 3.6 and Llama 3.3 70B.
- Best Local LLMs for Mac in 2026 — M1 through M5 Tested Best model for every Mac tier, 8GB to the 96GB Studio ceiling. Qwen 3.6, Llama 4 Scout, DeepSeek V4, MLX vs Ollama. Why bandwidth, not RAM, sets your speed.
- GB10 Boxes Compared: vs Strix Halo, vs Used 3090 (2026) DGX Spark went $3,999 → $4,699 in Feb. The GB10 field, Strix Halo as a Windows alternative, and when a used 3090 beats all of them on speed.
- AMD vs NVIDIA for Local AI: Is ROCm Finally Ready? ROCm 7.2 finally ships official RDNA4 support and one installer for Linux + Windows. The RX 7900 XTX (24GB) and new RX 9070 XT (16GB) are real options now. Honest mid-2026 benchmarks and the compatibility gaps that remain.
- Best VRAM Cheat Sheet for Local LLMs: Every Model, Every Quant Exact VRAM for Qwen 3.6, Qwen 3.5, Llama, Mistral, and DeepSeek at Q3 through FP16. Lookup tables for 7B, 9B, 13B, 27B, 32B, 70B, and 120B models with real measurements and GPU recommendations. Updated July 2026.
- RTX 5090 Benchmarks: 5090 vs 4090 vs Used 3090 (2026) 5090 community benches across 4K-131K context, prompt-processing tables, 5090-vs-4090 upgrade math, and InsiderLLM's firsthand 3090 honest-value anchor.
- GPU Buying Guide for Local AI: Pick the Right Card The complete GPU buying guide for local AI. Covers RTX 3060 through 4090 with VRAM analysis, performance benchmarks, prices, and used vs new buying advice.
- A100 vs H100 vs L40S vs 4090: Why the Cheaper GPU Costs More to Train On The cheapest GPU per hour is rarely the cheapest per training run. Real 2026 rental prices and total-cost math across the 4090, L40S, A100, H100, and H200.
- How to Run GLM 5.2 Locally: GPU, VRAM & Quant Guide GLM 5.2 is 753B params and 1.51TB at full precision. Run it locally: the live Unsloth quant ladder, every GPU and RAM path, and the quant to actually target.
- Multi-GPU Setups for Local AI: Worth It? Dual RTX 3090s cost $1,700-2,000 and need a 1,200W PSU — but a single 3090 at ~$1,000 runs every model under 32B. When two GPUs actually beat one bigger card, and when they don't.
- Used Optiplex + RTX 3060 = Local AI for Under $450 (Full Build) Build a local AI PC for under $450: used Dell Optiplex + RTX 3060 12GB runs Qwen 3.5 9B at 35-45 tok/s. Full parts list, where to buy, 2026 pricing.
- Used RTX 3090 Buying Guide for Local AI 24GB VRAM for ~$1,000—still the cheapest 24GB card on the market. eBay red flags, PSU requirements (850W minimum), and how to test before your return window closes.
- Best Used GPUs for Local AI: 2026 Buying Guide RTX 3090 at ~$1,000 for 24GB, RTX 3060 12GB at $170-220, RTX 3080 at $350-400. Tier rankings, fair prices, what to avoid (skip the 8GB 3070), and where to buy safely.
- Best Dual-GPU Local AI Setup: RTX 3090, 5060 Ti (2026) Dual RTX 3090, 2x RTX 5060 Ti, 2x 2080 Ti modded, mixed setups: real configs for Qwen 3.6, MoE, 70B. Tensor vs pipeline parallelism, llama.cpp/vLLM.
- Intel's $949 GPU Has 32GB VRAM and 608 GB/s Bandwidth: What It Means for Local AI Intel is launching a 32GB VRAM GPU for $949. Here's how it compares to the RTX 3090, RTX 4090, and used GPU market for running local LLMs and Stable Diffusion.
- What Can You Actually Run on 8GB VRAM? Qwen 3.5 9B is the new king of 8GB VRAM — 7GB at Q4_K_M with native vision. Plus every model that works on RTX 4060 and 3060 Ti, Stable Diffusion benchmarks, and the best upgrade path. Updated March 2026.
- What Can You Actually Run on 12GB VRAM? Qwen 3.5 9B at Q8_0 runs near-lossless on 12GB, Qwen 2.5 14B at Q4 hits 30 tok/s, and SDXL generates without workarounds. Every model that fits on an RTX 3060 12GB and the best upgrade path.
- What Can You Actually Run on 24GB VRAM? Qwen 3.5 27B at Q4 fits in 17GB with 64K+ context. 70B at Q3 with limited context. Flux at full FP16. RTX 3090 at $700 vs 4090 at $1,800—every model that fits and which GPU to buy.
- CPU-Only LLMs: What Actually Works Running CPU-only LLMs without a GPU — what actually works. Best model picks, real speed benchmarks, and a budget dual Xeon server build for 70B models.
- Run LLMs on Old Phones: A Practical Guide to Mobile AI Inference That old Pixel 6 or Galaxy S21 in your drawer can run a local LLM. Realistic tok/s by phone tier, Termux setup, app options, and an honest phone vs Raspberry Pi comparison.
- Intel Arc B580 for Local LLMs: 12GB VRAM at $250, With Caveats The Arc B580 gives you 12GB VRAM for $250, but Intel's AI software stack needs work. Real tok/s benchmarks, setup paths, and honest comparison with RTX 3060.
- Apple Neural Engine for LLM Inference: What Actually Works Apple Silicon has a dedicated Neural Engine that most LLM tools ignore. Here's what it can do for inference, what it can't, and whether ANE-based tools like ANEMLL are worth trying today.
- ROCm vs CUDA for Local AI in 2026: The Software Gap Nobody Talks About AMD GPUs have the bandwidth. They have the VRAM. They still lose by 2x on inference speed. Here's why, what actually works on ROCm 7.2, and whether RDNA 4 fixes anything.
- RTX 5060 Ti Review for Local AI — The New Budget King Real benchmarks for the RTX 5060 Ti 16GB running local LLMs. Qwen 3.5 35B at 44 tok/s, 100K context for ~$430. Compared against RTX 3060, 3090, and 4060 Ti.
- What Can You Run on 8GB Apple Silicon? Local AI on a Budget Mac Llama 3.2 3B runs at 30 tok/s. Phi-4 Mini fits with room to spare. 7B models technically load but swap to disk. Honest benchmarks and real limits for 8GB M1/M2/M3/M4 Macs.
- Ubuntu 26.04 Is Built for Local AI — What Actually Changes Ubuntu 26.04 LTS packages NVIDIA CUDA and AMD ROCm in official repos. No more external downloads or dependency nightmares. What's confirmed and what it means for local AI.
- Used Server GPUs for Local AI: Tesla P40, V100, A100, and the eBay Goldmine A Tesla P40 has 24GB VRAM for $175. A V100 has 32GB for $350. Server GPUs offer insane VRAM per dollar for local AI — if you can handle the quirks. Full breakdown with prices, benchmarks, and cooling fixes.
- Intel Arc GPUs for Local AI: The Underdog Option That Actually Works The Arc A770 16GB gives you 16GB of VRAM for ~$250 used. Software support through IPEX-LLM and llama.cpp SYCL is real but rough. Honest benchmarks, what works, and what doesn't.
- Used Tesla P40 for Local AI: The $200 Budget Beast 24GB VRAM for $150-$200 on eBay. Pascal architecture, no display output, passive cooling. Full benchmarks, setup guide, and honest comparison to the RTX 3060 and 3090.
- RTX 5090 for Local AI: Worth the Upgrade? 32GB GDDR7, 1,792 GB/s bandwidth, 67% faster than 4090 — but $3,500+ street price. Full benchmarks, value analysis, and who should actually buy one.
- RTX 4090 vs Used RTX 3090 for Local AI: Which to Buy in 2026 Both have 24GB VRAM. One costs 2-3x more. RTX 4090 vs used RTX 3090 — real benchmarks, real prices, and who should buy which for local LLM inference and image generation.
- Best Mini PCs for Local AI Under $300 in 2026 A $200 refurbished ThinkCentre runs 7B models at 5-8 tok/s. A $350 AMD Ryzen box hits 10-15 tok/s. Specific picks, real benchmarks, and what's worth buying.
- Rescued Hardware, Rescued Bees — Building Tech From What Others Throw Away A beekeeper who rescues wild colonies from demolition sites builds an AI lab from discarded hardware. The philosophy connecting East Bay Bees, Tai Chi, and mycoSwarm.
- RTX 3060 vs 3060 Ti vs 3070 for Local AI The RTX 3060 has 12GB VRAM, the 3060 Ti and 3070 only have 8GB. For LLMs, the cheapest card wins — it runs 14B models the others can't fit. Speeds, prices, and when the 3070 still makes sense.
- Razer AIKit Guide: Multi-GPU Local AI on Your Desktop Open-source Docker stack bundling vLLM, Ray, LlamaFactory, and Grafana into 1 container. Auto-detects GPUs, supports 280K+ HuggingFace models, and handles multi-GPU parallelism.
- RTX 3090 vs 4070 Ti Super for Local LLMs Head-to-head comparison of the RTX 3090 and RTX 4070 Ti Super for running LLMs locally. Covers VRAM, speed, power, price, and which to buy for your use case.
- How Much Does It Cost to Run LLMs Locally? $200-800 for hardware, $5-15/month in electricity, and a 3-6 month breakeven vs ChatGPT Plus at $240/year. Full cost breakdown with real numbers.
- Best GPU Under $500 for Local AI (2026 Picks) Find the best GPU under $500 for running local AI in 2026. RTX 4060 Ti 16GB, used RTX 3080, RTX 3060 12GB, and RX 7700 XT compared with real benchmarks.
- Best GPU Under $300 for Local AI (2026 Picks) Find the best GPU under $300 for local AI. We compare the RTX 3060 12GB, RX 7600, and Intel Arc B580 with VRAM analysis, LLM benchmarks, and real pricing.
- Laptop vs Desktop for Local AI: Which Should You Buy? A $750 desktop RTX 3090 gives you 24GB VRAM. The same money in a gaming laptop gets 8GB. MacBooks break the rules with 48GB+ unified memory for 70B models.
- What Can You Actually Run on 4GB VRAM? 1B-3B models run at 18-55 tok/s. Qwen 2.5 3B at Q4 is the sweet spot for chat and simple coding. 7B models don't fit. What works on GTX 1050 Ti and 1650, and when to upgrade.
- What Can You Actually Run on 16GB VRAM? 13B-14B models hit 22-53 tok/s at Q4-Q6, Flux runs at FP8, and 20B models squeeze in with short context. Where 16GB beats 12GB, where it trails 24GB, and the best cards at this tier.
- Used GPU Buying Guide for Local AI: How to Buy Smart RTX 3060 12GB for ~$200, RTX 3090 24GB for ~$750—used GPUs offer 2-3x the VRAM per dollar vs new. Fair prices, scam red flags, and where to buy safely.
- Mac vs PC for Local AI: Which Should You Choose? RTX 3090 runs 7B-14B models 2-3x faster than M4 Pro. M4 Max with 128GB loads 70B models a PC can't touch. Real benchmarks, prices, and which platform fits your use case.
- NVIDIA GPU Prices Are Rising: What to Do Now GPU prices are spiking due to GDDR7 shortages and AI datacenter demand. Here's what's happening, which cards are affected, and strategies for local AI builders.
- RTX 5060 Ti 16GB Killed? Local AI Alternatives The RTX 5060 Ti 16GB faces production cuts from GDDR7 shortages. See what is really happening and explore the best alternative GPUs for local AI in 2026.