Check my GPU

A free tool from EnableVue · Local AI

Does it run locally?

Pick your graphics card, Mac or mini PC, or let us detect it. See which LLMs, image models and video models fit in memory, and how fast they should run.

Detect my hardware Find models for my hardware

Explore

Everything you need to pick hardware for local AI

LLMs 536 language models Image models 47 diffusion models Video models 34 video models Hardware 284 GPU and Mac profiles My GPU Detect and get a full report Compare Two GPUs, side by side

Model Finder

Can your GPU or Mac run it?

Loading the model catalog…

How the estimate works

Three numbers decide it

01 · MemoryDoes it fit?Model weights at each quantization, plus the KV cache for your context length and runtime overhead, against the memory your GPU or Mac can actually give a model.
02 · BandwidthHow fast will it answer?Generating each token reads the weights once, so tokens per second follow memory bandwidth. Mixture-of-experts models only read their active experts.
03 · QualityIs it the best that fits?A curated quality tier for each model carries most of the score, so the top pick is the best model that fits, not the smallest one.

Example

Llama 3.3 70B on a 128 GB Mac

At Q6_K it needs about 69 GB. A Mac with 128 GB of unified memory lets a model use about 96 GB, so it fits, at roughly 6 tokens per second.

See the full breakdown

Popular checks

What people ask

82 ptsGreat (A) · 82 of 100 points: Model quality 36.5/45, Memory fit 25.0/25, Speed 5.6/15, Memory use 15.0/15Llama 3.3 70B Instructon Apple M4 Max (128 GB) · Runs well85 ptsExcellent (S) · 85 of 100 points: Model quality 32.5/45, Memory fit 24.0/25, Speed 14.0/15, Memory use 15.0/15Qwen3 32Bon NVIDIA GeForce RTX 3090 · Tight fit86 ptsExcellent (S) · 86 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15gpt-oss 20Bon NVIDIA GeForce RTX 4060 Ti 16GB · Runs well66 ptsGood (B) · 66 of 100 points: Model quality 35.3/45, Memory fit 10.0/25, Speed 6.7/15, Memory use 15.0/15FLUX.1 [dev]on NVIDIA GeForce RTX 4060 · Tight fit81 ptsGreat (A) · 81 of 100 points: Model quality 27.2/45, Memory fit 24.0/25, Speed 14.8/15, Memory use 15.0/15Gemma 3 27B ITon NVIDIA GeForce RTX 4070 Ti SUPER · Tight fit82 ptsGreat (A) · 82 of 100 points: Model quality 34.8/45, Memory fit 24.0/25, Speed 9.2/15, Memory use 15.0/15DeepSeek R1 (671B)on Apple M3 Ultra (512 GB) · Tight fit

From the team at EnableVue

Running AI on your product catalog?

EnableVue turns messy product data and thin web content into catalogs that rank in Google and get cited by AI answer engines. Expert-led services, AI-accelerated delivery.

Visit EnableVue