In-depth hardware reviews with real-world LLM benchmarks. GPUs, CPUs, RAM, and storage tested with the models you actually run.
16GB GDDR7 sounds perfect — but street price is $549 and the RTX 3090 beats it on bandwidth. Here's which LLMs actually fit and whether to buy now.
16GB GDDR7 at $549 street — but a used RTX 3090 has double the bandwidth. Here's which LLMs actually fit and whether the math works for budget builders.
Benchmark RTX 5060 Ti 8GB on 13B-70B models. See why 8GB hits the ceiling for Llama, Qwen, and Mistral at Q4 quantization. Driver story included.
RTX 5070 12GB GDDR7 review. Real tok/s on 34B models, DLSS 5 gaming FPS, and whether one GPU can handle both local LLM and 4K gaming.
RX 9060 XT runs Llama 14B at 53 tok/s on AMD's cheapest 16GB card. ROCm 7.0.2+ required, $80 cheaper than RTX 5060 Ti. When to buy, when to skip.
RX 9070 XT with ROCm 7 runs Llama 3.1 70B via llama.cpp, but Ollama support lags NVIDIA. Real benchmarks, honest verdict on whether AMD's $719 card matches RTX 5070 Ti's $749 performance.
Ryzen 7 9800X3D with 96MB 3D V-Cache handles 70B model layer offload 40% faster than older CPUs. Perfect for budget builders stuck on mid-tier GPUs. $429-449 as of April 2026.
16-core CPU for fine-tuning and quantization — but is it worth $650 when a used 7950X3D costs $400 and the 9950X3D launches in 3 weeks? Real-world breakdown.
Want a usable local AI rig for under $2,000? We tested the RTX 5060 Ti 16GB + 9800X3D combo on real models. Here's what it actually runs well, and where budget builds hit their limits.
Build a $4,500 dual-GPU workstation that runs Llama 3.1 70B at high quality. Complete parts list, real benchmarks with vLLM/Ollama, and honest assessment of quantization tradeoffs.
AnythingLLM combines document retrieval + local model control in one platform. Self-hosted RAG with Ollama, offline-first, no cloud dependency. 2026 review.
Want silent local AI without a tower? ASUS NUC 14 Pro with 64GB DDR5 and Intel Arc runs 7B–8B models quietly—reviewed with real-world inference tests. Compact, privacy-first alternative to cloud APIs.
Stop buying RAM by MHz. Bandwidth — not clock speed — moves inference. Here's which DDR5 kits matter for AI and which are marketing hype.
Slow GGUF loading? Benchmarks reveal which NVMe SSDs actually speed up model loads—skip overpriced drives without losing performance. PCIe 4.0 vs 5.0 tested.
EVO X2 with Ryzen AI Max 395 runs 70B models locally at $1,799, but only 3–13 tokens/sec. Silence and flexibility beat raw speed—here's whether it's worth it vs RTX 4080 SUPER.
Shopping for a sub-$300 local LLM GPU? Arc B580 gives 12GB for $249 — real tok/s benchmarks on Llama 7B, Qwen models vs RTX 4060. Honest take on Vulkan quirks included.
Arc Pro B70 delivers 32GB VRAM at $949 for professional inference workloads. First Intel challenge to NVIDIA's pro GPU monopoly. OneAPI stability concerns vs. proven CUDA ecosystem — verdict inside.
Intel Core Ultra 9 285K delivers solid CPU inference at $475–$535. Tested against Ryzen 9 9950X on 8B/13B models. Worth the upgrade? Real benchmarks inside.
Jan.ai is a free, open-source desktop frontend for running local LLMs with zero cloud dependency. Privacy-first architecture, clean UI, and minimal overhead—the simplest way to own your AI conversations in 2026.
Terminal-free local LLM setup with model browser and one-click download — but 15–20% slower than Ollama. Worth it only if you hate the command line.
Mac Mini M4 runs Llama 8B at 30 tok/s for just $599 all-in. Silent, no setup, Apple ecosystem. But 13B models get slow, and 70B needs M4 Pro. Here's what you actually get.
Mac Studio M4 Max with 128GB unified memory runs 30B+ models silently. Slower than RTX 5090 on 70B inference, but no external GPUs needed. Unified memory deep dive, real benchmarks, and the honest verdict on price.
Need a silent, compact local AI PC under $900? Minisforum MS-A1 runs 7B–13B models on integrated GPU. Real benchmarks versus Intel NUC — honest verdict on whether form factor justifies the speed trade-off.
Free, simple, and fast—but is Ollama still the right choice in 2026? Real pros and cons vs LM Studio and vLLM, plus when to use each.
Want ChatGPT's interface without cloud lock-in? Open WebUI runs on your hardware, free, with vision, RAG, and multimodal support. Setup in 5 minutes. Honest review + verdict inside.
Shopping used RTX 4090 for local 70B inference? Specs, real-world benchmarks at Q4_K_M quantization, and verification tips to avoid bad buys — April 2026 update.
RTX 3090 used GPU review: 24GB VRAM for 70B models but now $800–1,000 on the secondhand market. Real tok/s with CPU offload, comparison to RTX 5070 Ti and RTX 4090 used. Should you buy in 2026?
Most $400 GPUs cap at 8GB — the 5060 Ti 16GB doubles that at the same price. Runs 14B daily at 95 tok/s. Is it better than a used RTX 3090?
RTX 5060 Ti 8GB runs 7B models fast but hits the wall hard at 13B. $379 entry point is tempting—just know your ceiling before buying.
RTX 5070 delivers 12GB GDDR7 at $549 — faster than RTX 4070 Ti for inference. But can it really run 70B? We tested it. Spoiler: 27B is the sweet spot.
RTX 5070 Ti 16GB review for local LLMs. Runs 70B models at 40+ tok/s, costs $250 less than RTX 5080, and delivers best value for power users. Benchmarked vs RTX 5080 and RTX 5060 Ti.
RTX 5080 hits 25–30 tok/s on 30B models—but 70B Q4 won't fit in 16GB VRAM. We tested whether the $250 premium over RTX 5070 Ti is worth it.
RTX 5090 dominates 70B model inference with 32GB GDDR7. Real benchmarks vs 5080, honest verdict on whether flagship VRAM is necessity or luxury for local AI.
Full review of the GMKtec EVO-X2 with Ryzen AI Max+ 395 and 128GB LPDDR5x. Real-world LLM performance, Linux setup, GTT memory allocation, and value verdict.
Arc B580 offers 12GB VRAM at $249 — nothing else comes close at that price. Real benchmarks show 20–30% SYCL overhead vs CUDA. Here's who should buy it and who should skip it.
Ultrawide monitors make local AI development significantly more productive. Here's what to look for and which models to buy in 2026.
Do you need a custom loop or AIO cooler for a local LLM rig? The honest answer depends on one thing: how many GPUs you're running.
Under $300, your options are limited but workable. The Arc B580 wins at this tier — nothing else gives you 12GB VRAM at competitive bandwidth for less.