Blog
A hub for hardware compatibility guides, VRAM requirements, GPU and Mac picks, and local AI explainers. Find the specific model or topic you need in the posts below.
FLUX.2 Dev VRAM Requirements — FP16, FP8, NF4, GGUF Hardware Guide (2026)
FLUX.2 Dev VRAM requirements at every precision level. Full FP16 needs ~64 GB (32B + Mistral 24B text encoder). FP8 ~32–35 GB, NF4 ~18–20 GB. Best GPUs and setup tips for local image generation.
FLUX.2 Klein 9B VRAM Requirements — FP16, FP8, GGUF Hardware Guide (2026)
FLUX.2 Klein 9B needs ~29 GB at FP16 and ~15 GB at FP8. Full VRAM table, GPU recommendations, and comparison with the 4B sibling and FLUX.2 Dev.
GPT-OSS 20B VRAM Requirements — RTX 4060 Ti, RTX 4070, RTX 4090, Apple Silicon Guide
GPT-OSS 20B (21B MoE, 3.6B active) needs ~12 GB at Q4_K_M. Runs on RTX 4060 Ti 16GB, RTX 4070 12GB, and Apple Silicon. Full VRAM table and per-GPU verdicts.
HunyuanVideo 1.5 VRAM Requirements — FP16, FP8, and Practical GPU Guide (2026)
HunyuanVideo 1.5 (8.3B T2V+I2V) is far more consumer-friendly than the 13B original. VRAM table at FP16/FP8/GGUF, recommended GPUs from 12 GB to 48 GB.
Pony Diffusion V6 XL VRAM Requirements — GPU Guide & Hardware Recommendations
Pony Diffusion V6 XL VRAM requirements: ~7.5 GB at FP16, runs on any 8GB GPU. Best GPUs, LoRA stacking tips, and how it compares to SDXL and Flux for anime and stylized art.
Qwen2.5-Coder 14B VRAM Requirements — Q4, Q5, Q8, FP16 Hardware Guide
Exact VRAM for Qwen2.5-Coder 14B at every quantization level. Q4_K_M needs ~8.7 GB, Q8 needs ~14.7 GB. Best GPUs and Macs for local coding inference.
SD 3.5 Medium VRAM Requirements — 8GB GPU Guide + SD 3.5 Medium vs SDXL
SD 3.5 Medium needs ~6 GB at FP16 and fits on any 8GB GPU. Full VRAM table (FP16/FP8/Q4), minimum GPU list, and SD 3.5 Medium vs SDXL comparison.
Wan 2.1 / 2.2 VRAM Requirements — 1.3B, 5B, 14B Variant GPU Guide (2026)
Wan Video 2.2 VRAM: 1.3B needs 4–6 GB (GGUF), 5B TI2V 8–12 GB, 14B 6–24 GB (FP8). Recommended GPUs and T5 offloading guide for every tier.
DeepSeek-V4 VRAM Requirements - Million-Token Local Inference Guide
DeepSeek-V4-Pro and DeepSeek-V4-Flash hardware guide: practical VRAM estimates, 1M context implications, Think Max memory planning, multi-GPU setups, and Mac guidance.
Granite 4.1 VRAM Requirements - IBM 3B, 8B, and 30B Hardware Guide
Exact practical VRAM estimates for IBM Granite 4.1 3B, 8B, and 30B at Q4, Q5, Q8, FP8, and BF16. Includes RTX, Apple Silicon, long-context, and enterprise RAG guidance.
Nemotron 3 Nano Omni VRAM Requirements - Document, Audio, Video, and OCR Guide
NVIDIA Nemotron 3 Nano Omni 30B-A3B hardware guide: VRAM estimates for NVFP4, FP8, BF16, multimodal KV cache, OCR/document analysis, ASR, and video workloads.
Qwen 3.6 27B VRAM & Hardware Requirements — Dense 27B GPU Guide (2026)
Qwen 3.6 27B: Q4_K_M ~16.8 GB fits RTX 4080 16GB. Flagship coding (77.2% SWE-bench) on a consumer GPU — GPU/Mac buyer guide and GGUF picks.
Best Coding LLMs for Apple Silicon 24GB — Ranked 2026
Top local coding LLMs for 24GB Apple Silicon (M4 Pro, M3 Pro): Qwen3 Coder 30B, Qwen3.5-35B-A3B, DeepSeek Coder V2.5 ranked by SWE-bench and tok/s.
MacBook Air M4 vs MacBook Pro M4 for Local LLMs — Which to Buy (April 2026)
MacBook Air M4 vs Pro M4 for local LLMs: 24GB unified memory, tok/s benchmarks, thermal limits, and which one fits Qwen3.6-35B-A3B. Decision guide with exact specs.
Qwen 3.6 27B vs Gemma 4 27B — Dense Head-to-Head (April 2026)
Qwen3.6-27B dense vs Gemma 4 27B dense: SWE-bench 77.2 vs 78.5 but Qwen wins Terminal-Bench 59.3 and AIME 94.1. VRAM (16.8 vs 16 GB), coding, vision, 1M context.
Qwen3.6-35B-A3B Hardware Requirements — What GPU or Mac to Buy (2026)
Qwen3.6-35B-A3B hardware requirements: which GPU, Mac, or workstation to buy. Price vs VRAM vs tok/s for RTX 4090, RTX 5090, Mac M4 Pro/Max, H100. Q4/Q5/Q8 guidance.
Qwen3.6-35B-A3B Release Date — Open-Weight & GGUF Timeline (April 2026)
qwen3.6-35b-a3b release date status: API launched April 2, 2026; open-weight GGUF for the 35B-A3B MoE expected late April / early May 2026. Latest timeline and links.
What Can You Run on 16GB, 24GB, 32GB VRAM? — Local LLM Guide (April 2026)
What local LLMs fit on 16GB, 24GB, or 32GB VRAM in 2026: top model per tier with Q4/Q8 numbers, tokens/sec on RTX 4080/4090/5090, coding picks, and when to upgrade.
Mistral VRAM Requirements (2026) — Will Your GPU Run 7B, Nemo 12B, Codestral 22B or Small 24B?
Mistral 7B needs ~4.3GB at Q4. Nemo 12B ~7.1GB. Codestral 22B ~12.8GB. Small 24B ~13.4GB. Full Q4/Q5/Q6/Q8 VRAM tables with 8GB/12GB/24GB GPU picks and Mac fit.
MLX vs Ollama on Apple Silicon (2026) — Real Benchmarks, Memory Usage & When to Use Each
MLX beats Ollama by 15-30% throughput on Apple Silicon and uses ~10% less memory. Full tok/s benchmarks for Qwen 3.5, Llama 4, Gemma 3 on M4 16GB → M3 Ultra 512GB.
Q4_K_M vs Q5_K_M vs Q8 — Which GGUF Quantization Should You Use? (2026 Guide)
Q4_K_M saves 72% VRAM with minor quality loss. Q5_K_M is the sweet spot. Q8 is near-lossless but 2x larger. Full comparison with VRAM, perplexity, and speed by model size.
Qwen 3.5 122B-A10B VRAM Requirements — MoE Workstation & Mac Studio Guide (Q4, Q5, Q6, Q8)
Qwen 3.5 122B-A10B needs ~74.4 GB at Q4_K_M. Fits on A100 80GB, H100, Mac Studio M4 Max 128GB, or M3 Ultra. Full VRAM table, benchmarks, and multi-GPU guidance.
Qwen 3.5 27B VRAM Requirements — Dense Model Hardware Guide (Q4/Q5/Q6/Q8)
Qwen 3.5 27B needs ~16.5 GB at Q4_K_M on RTX 4090. See also the newer Qwen3.6-27B (April 22, 2026) which needs 16.8 GB Q4 and beats it on coding benchmarks.
Qwen3.5-35B-A3B VRAM Requirements 2026 — 21.4 GB at Q4
Qwen3.5-35B-A3B needs ~21.4 GB at Q4_K_M. Fits RTX 4090/3090 and Mac M4 Max. Exact Q4/Q5/Q6/Q8 GGUF numbers, tok/s benchmarks, and GPU recommendations.
Qwen 3.5 9B VRAM Requirements — Best 8B-Class Dense Model (Q4, Q5, Q6, Q8)
Qwen 3.5 9B needs ~5.5 GB at Q4_K_M and ~9.6 GB at Q8_0. Runs well on 8 GB GPUs, comfortably on 12 GB. Full VRAM table, Mac fit, and tokens/second benchmarks.
Qwen 3.5 9B vs Llama 3.1 8B (2026) — VRAM, Speed, Quality & Which Should You Run?
Head-to-head: Qwen 3.5 9B vs Llama 3.1 8B for local inference. VRAM (5.5 vs 4.9 GB Q4), tokens/sec on RTX 4090, MMLU, context, multilingual, and which wins per use case.
Qwen 3.5 on Apple Silicon MLX (2026) — Memory Usage, Tokens/sec & Setup Guide
Qwen 3.5 35B-A3B MLX 4-bit uses ~19.5 GB on Mac. 9B fits 16 GB Macs at 25-35 tok/s. Full MLX memory + speed benchmarks per variant from M4 16GB to M3 Ultra 512GB.
Qwen 3.6 VRAM & Hardware Requirements — 35B-A3B MoE GPU Guide (2026)
Qwen 3.6 35B-A3B MoE: Q4_K_M ~21 GB, fits RTX 4090 24GB or Mac M4 Pro. Q8 ~37 GB needs 48 GB class. GPU and Mac buyer guide for 1M-context MoE.
Qwen 3 Coder 30B-A3B vs DeepSeek R1 Distill 14B for Local Coding (2026)
Head-to-head for local coding: Qwen 3 Coder 30B-A3B (MoE, 17GB Q4) vs DeepSeek R1 Distill Qwen 14B (dense, 8GB Q4). HumanEval, speed, reasoning, and which to run on 12GB/24GB GPUs.
AI Model VRAM Requirements (2026) — Exact GPU Memory for 182+ LLMs, Flux, SDXL & Video
Will your GPU run it? Exact VRAM for 182+ AI models (Qwen 3.5, Gemma 4, Llama 4, DeepSeek R1, Flux, SDXL, video) at Q4/Q8/FP16, with 8GB/12GB/24GB/48GB GPU picks.
Gemma 3 12B VRAM Requirements - Q4, Q5, Q6, Q8 Hardware Guide
Exact VRAM for Gemma 3 12B at Q4_K_M, Q5_K_M, Q6_K, Q8_0, and FP16. Gemma 3 12B needs ~6.7GB at Q4 and ~12.6GB at Q8.
Gemma 3 VRAM Requirements — 1B, 4B, 12B, 27B GPU & Mac Guide (2026)
Exact VRAM for Gemma 3 1B, 4B, 12B, and 27B at Q4, Q8, and FP16. Gemma 3 12B needs ~6.7GB at Q4, 27B needs ~15.1GB. Full GPU and Mac recommendations for 2026.
MiniMax M2.7 VRAM Requirements - 230B MoE Agentic Model Hardware Guide
Exact VRAM for MiniMax M2.7 (230B total, 10B active MoE) at Dynamic 4-bit, Q2, Q3, Q4, Q5, Q8, and BF16. Includes Mac, multi-GPU, and partial offload scenarios.
Mistral Small 4 VRAM Requirements - 119B Hardware Guide
Exact VRAM for Mistral Small 4 119B at Q4_K_M, Q5_K_M, Q6_K, Q8_0, and FP16. See whether 80GB GPUs or high-memory Macs can run it locally.
Qwen 3 GPU Requirements — Original Family (0.6B–235B) VRAM Guide (2026)
VRAM tables for the original Qwen 3 family (0.6B to 235B-A22B), with GPU and Mac recommendations. For the newer Qwen 3.5 and Qwen 3.6 generations, see the dedicated pages linked below.
Best LLM for 16GB Mac — What Actually Runs Well on Apple Silicon
The best local LLMs for a 16GB Mac in 2026. Which 4B, 8B, 9B, and 12B models fit well, when 14B becomes annoying, and whether to use MLX, Ollama, or LM Studio.
Intel Arc vs CUDA for Local AI — When Arc Makes Sense and When NVIDIA Is Safer
Should you buy Intel Arc for local AI, or stick with CUDA? A practical guide to Arc B580, Arc A770, RTX 3060, RTX 4060, and RTX 4070-class GPUs for local LLMs.
Qwen 3.5 on RTX 4090 — VRAM, Tokens/s, Best Runtime, and What Actually Fits
How well does Qwen 3.5 run on an RTX 4090 24GB? Practical guidance for Qwen 3.5 9B, 27B, and 35B A3B with VRAM requirements, tok/s estimates, and runtime tradeoffs.
Best Local AI Builds in 2026 - Budget, Inference, Training, and Multi-GPU Workstations
Recommended local AI PC builds by budget and use case. Practical guidance for single-GPU inference desktops, dual-GPU workstations, and multi-GPU servers, with CPU, RAM, ECC, motherboard, storage, and power advice.
Best Software for Running Local AI in 2026 - Ollama, llama.cpp, LM Studio, vLLM, ComfyUI & More
The practical software stack for local AI in 2026. When to use Ollama, llama.cpp, LM Studio, vLLM, ExLlamaV2, ComfyUI, and other tools for LLMs, image generation, video generation, and local serving.
Local AI Build Glossary in 2026 - PCIe, ECC, NVLink, Offload, Bifurcation & More
The practical glossary for local AI builders. Understand PCIe lanes, ECC RAM, bifurcation, RDIMM vs UDIMM, NVLink, offload, tensor parallelism, KV cache, VRAM headroom, and the hardware terms that matter when building an AI workstation.
How to Build a Local AI Workstation in 2026 - CPU, RAM, ECC, PCIe Lanes & Motherboards
A practical hardware guide for local AI builders. Learn how to choose the right CPU platform, RAM capacity, ECC memory, PCIe lane budget, motherboard, storage, and cooling for 1x, 2x, and 4x GPU systems.
PCIe Lanes for Local AI Explained - CPUs, Motherboards, Bifurcation & Multi-GPU Builds
PCIe lane math for local AI. Understand x16 vs x8, CPU-attached NVMe, chipset bottlenecks, bifurcation, PCIe switches, and how many lanes you really need for 1, 2, or 4 GPUs.
Best AI Models for 24GB VRAM — RTX 4090 & RTX 5090 (LLMs, Image & Video)
RTX 4090 (24GB) runs 30B models, Flux at FP8, and video generation. RTX 5090 (32GB) adds 70B MoE models. Complete guide with VRAM tables and speed estimates.
Best AI Models for 8GB VRAM — What Actually Runs on RTX 4060, RTX 3070, Arc B580
15 AI models that fit in 8GB VRAM: Qwen 3.5 4B, Phi-4 Mini, Gemma 3 4B for LLMs. SD 1.5, SDXL for images. Complete VRAM breakdown at Q4, Q5, Q8.
Best AI Models for 16GB Mac — LLMs, Image, and Video That Actually Fit
The best AI models you can run on a 16GB Mac. Qwen 3 8B, Gemma 4 E4B, Phi-4 Mini, Stable Diffusion, and Flux — with practical memory guidance and setup advice for Ollama, LM Studio, and MLX.
Best Reasoning Models to Run Locally in 2026 — VRAM Guide from 2GB to 40GB
Complete guide to reasoning models you can run locally: DeepSeek R1 distills, QwQ 32B, Phi-4 Reasoning, Gemma 4 MoE. VRAM requirements, GPU tiers, and thinking token speed tips.
Gemma 4 GPU & VRAM Requirements 2026 — 26B MoE Fits 15 GB
Gemma 4 VRAM: E2B ~3GB, E4B ~5GB, 26B MoE ~15GB, 31B dense ~18GB at Q4. RTX 4090/M4 Pro fit the 26B. Gemma 4 31B vs Qwen 3.6 27B — GPU picks included.
Image Generation VRAM Requirements 2026 — Flux, SDXL, SD 3.5
Flux.1 needs 7 GB at GGUF Q4; SDXL fits on 8 GB. FP16/FP8/GGUF VRAM tables for Flux.1, Flux.2, SDXL, SD 3.5, Pony Diffusion — GPU picks by tier for 2026.
Video Generation VRAM Requirements 2026: Every AI Video Model GPU Guide
Complete GPU and VRAM requirements for AI video generation in 2026. FP16 vs FP8 vs GGUF comparison for LTX Video, Wan Video, HunyuanVideo, CogVideoX, Mochi 1, and AnimateDiff. What you can actually run on 8GB, 12GB, 24GB, and 48GB GPUs.
Best LLM for Mac 2026: Picks for M1/M2/M3/M4 by RAM Tier
The best local LLM for your exact Mac — by memory tier from M1 16GB to M3 Ultra. Model picks, quant levels, tok/s, and MLX vs llama.cpp, no guesswork.
DeepSeek R1 VRAM Requirements — 7B to 671B Hardware Guide
Exact VRAM requirements for every DeepSeek R1 variant at Q4, Q8, and FP16 quantization. Covers the 7B, 14B, 32B, 70B distills and the full 671B MoE model with GPU recommendations for each size.
Qwen 3.5 VRAM Requirements — 9B, 27B, 35B-A3B, 122B-A10B
Exact VRAM for Qwen 3.5 9B, 27B, 35B-A3B, and 122B-A10B at Q4, Q5, Q6, Q8, and FP16. Includes RTX 4090, Apple Silicon, and MLX vs GGUF guidance.
Apple Silicon for AI: M4 vs M3 vs M2 Comparison (2026)
Compare M4, M3, and M2 Apple Silicon chips for local AI inference. Unified memory advantages, performance benchmarks, and which Mac to buy for running LLMs and image models.
Apple Silicon for AI: M4 vs M3 vs M2 Comparison
How do M2, M3, and M4 compare for running AI models locally? A practical breakdown of bandwidth, memory tiers, LLM performance, and which generation is worth buying for local AI workloads in 2026.
Best GPU for Running AI Models at Home (2026)
Complete GPU buyer's guide for home AI inference in 2026. RTX 4060 through RTX 5090 compared by VRAM, price, and performance. Find the right GPU for your budget.
How Much VRAM Do You Need to Run LLMs Locally? (2026 Guide)
Practical VRAM requirements for running LLMs locally in 2026. From 7B to 405B models, quantization impact, and hardware recommendations for every budget.
Quantization Explained: Q4 vs Q8 vs FP16 — What You Actually Lose
Plain-English explanation of AI model quantization. What Q4, Q8, and FP16 mean, how much quality you lose at each level, and which to use for your hardware.
Best GPU for AI in 2026 — LLMs, Image Generation, and Video Generation
The ultimate GPU buying guide for all AI workloads in 2026. Budget to professional tier recommendations for running LLMs, Flux, SDXL, Wan Video, and more locally with VRAM requirements and use-case advice.
Flux vs Midjourney — Local vs Cloud Image Generation in 2026
Flux 2 Dev vs Midjourney v6 compared head-to-head. Quality, cost, privacy, speed, customization, and hardware requirements. Find out which image generator is right for you.
How to Run Flux 2 Locally — Hardware Requirements & Setup Guide
Complete guide to running Flux 2 Dev and Flux 2 Klein 4B on local hardware. VRAM requirements, ComfyUI workflows, diffusers code, FP8 optimization, and comparison with Flux 1.
M4 Max for AI — Running Local Models on Apple Silicon
Complete guide to running AI models locally on the Apple M4 Max. Covers unified memory advantages, LLM performance, image and video generation, MLX vs llama.cpp, and how the M4 Max compares to NVIDIA GPUs and the M4 Pro.
Qwen Image — Running Alibaba's 20B Diffusion Model Locally
Guide to running Qwen Image locally. Hardware requirements for its 20.4B DiT transformer and 8.3B Qwen2.5-VL text encoder, diffusers setup, VRAM optimization, and comparison with Flux.
RTX 4060 8GB for AI — The Budget AI GPU Guide
Complete guide to running AI models on the NVIDIA RTX 4060 with 8GB VRAM. Covers which LLMs, image generation, and video generation models fit, practical tips for maximizing 8GB, and when to upgrade.
RTX 5090 for AI — What Can You Run? Complete Guide
Complete guide to running AI models on the NVIDIA RTX 5090 with 32GB VRAM. Covers LLMs, image generation, video generation, NVFP4/NVFP8 support, and whether upgrading from the RTX 4090 is worth it.
Stable Diffusion vs Flux in 2026 — Which Model Should You Use?
Complete comparison of SD 1.5, SDXL, SD 3.5, Flux 1, and Flux 2 for local image generation. VRAM requirements, quality, ecosystem maturity, and which model to choose based on your hardware budget.
Best Local Image Generation Models in 2025 — Complete Guide
Compare the best AI image generation models for local hardware: Flux.1, SDXL, SD 3.5, SD 1.5, and top community fine-tunes. VRAM requirements, quality, and ecosystem for each.
Flux vs SDXL vs SD 3.5 — Which Image Model Should You Choose?
Side-by-side comparison of Flux.1, Stable Diffusion XL, and SD 3.5 for local image generation. Quality, VRAM requirements, speed, ecosystem, licensing, and recommendations by use case.
How to Run Flux Locally — Complete Hardware & Setup Guide
Step-by-step guide to running Flux.1 Dev and Schnell on local hardware. Hardware requirements, ComfyUI setup, diffusers code, GGUF quantization, ControlNet support, and performance optimization tips.
2x RTX 4090 for LLMs: What You Can Run, Setup Guide & Real Performance (2026)
Can two RTX 4090s run Llama 70B or Qwen 72B? We break down the real performance of dual 4090 setups for local LLM inference — VRAM pooling, PCIe limitations, and what models you unlock.
Multi-GPU LLM Inference Guide — NVLink vs PCIe, Tensor Parallelism (2026)
Multi-GPU LLM inference: real NVLink vs PCIe scaling numbers, tensor parallelism sizing, 2×/4×/8× GPU configs for Llama 3.3 70B and Qwen 3.5 122B, and exact tokens-per-second across consumer and datacenter hardware.
Ollama Multi-GPU Support: Official Behavior, Layer Split & Setup (2026)
How Ollama officially handles multiple GPUs: auto-detection, layer distribution, num_gpu parameter, CUDA_VISIBLE_DEVICES, and real 2× RTX 4090 / 2× RTX 3090 performance numbers for Llama 70B and Qwen 3.5.
vLLM Multi-GPU Setup: How Many GPUs You Actually Need (2026)
Stop guessing --tensor-parallel-size. Exact GPU counts + VRAM per model: Llama 70B = 2×RTX 4090 or 1×H100. Copy-paste configs and a full sizing table.
What LLM Can I Run Locally on My GPU or Mac? (2026 Calculator + Guide)
Find the best local LLM for your exact VRAM: 4GB, 8GB, 12GB, 16GB, 24GB, 32GB, 48GB, 64GB+. Ranked picks for each tier with quant, tok/s, and one-click calculator.
Best GPU for Running LLMs Locally (2026) — RTX 4060 to H100 Buyer's Guide
RTX 4060 runs 8B models, RTX 4090 handles 30B, Mac M4 Max fits 70B. Compare every GPU for local AI with real VRAM data, speed benchmarks, and model counts.
Getting Started with Local AI: Run LLMs on Your Own Hardware
Step-by-step guide to running AI models locally. Install Ollama, pick the right model for your hardware, and start generating in under 5 minutes.
DeepSeek R1 VRAM Requirements — 7B to 671B Distills at Q4/Q8 (GPU Guide)
DeepSeek R1 14B needs ~8GB at Q4, 32B needs ~18GB, full 671B needs ~376GB. Complete VRAM tables for every distill with GPU and quantization recommendations.
Llama 4 VRAM Requirements — Scout 109B & Maverick 400B (GPU & Mac Guide)
Llama 4 Scout needs ~61GB at Q4, Maverick needs ~224GB. Complete VRAM tables for every quantization level with GPU and Mac hardware recommendations.
Best AI Video Generation Models for Local Hardware in 2025
Compare the best open-source AI video generation models for local use: Wan Video 2.1, LTX Video, HunyuanVideo, CogVideoX, Mochi 1, and AnimateDiff. Accurate VRAM requirements by configuration, quality, and setup for each.
Best GPU for AI Image Generation in 2025 — Local Flux, SDXL, SD 3.5
Complete GPU buying guide for local AI image generation. Budget to professional tier recommendations for Flux, SDXL, and SD 3.5 with VRAM requirements, performance benchmarks, and use-case advice.
ComfyUI Beginner's Guide — Set Up Local AI Image Generation
Step-by-step ComfyUI installation and setup guide for local AI image generation. Learn text-to-image workflows, ControlNets, LoRAs, and VRAM optimization with SDXL, Flux, and SD 3.5.
SDXL LoRA Guide — Styles, Characters & Quality LoRAs for Local AI Art
Complete guide to SDXL LoRAs for local AI image generation. How LoRAs work, where to find them, top recommended LoRAs by category, ComfyUI and A1111 usage, stacking tips, and VRAM impact.