Best High-End & Extreme VRAM GPUs (24GB+)
Looking to run native FP16 models, Hunyuan Video, or massive pipelines? Compare 24GB+ graphics cards like the RTX 4090 and RTX 3090.
Running out of VRAM local? Spin up on-demand cloud GPUs in 60s.
Introduction
Extreme workloads like native FP16 FLUX.1 or video generation (Wan 2.1, Sora-alternatives) require at least 24GB VRAM. Here are the best options to upgrade your local workstation.
A GPU with 24GB VRAM runs 5,901 ComfyUI custom nodes (approx. 100% of the entire database) completely locally with zero OOM (Out Of Memory) limits on basic workflows.
GPU Specifications & Affiliate Comparison
This table lists prices, power draws, and custom links based on real-time hardware recommendations.
| GPU Model | VRAM Capacity | Est. Price | Wattage Draw | Value Index | Action |
|---|---|---|---|---|---|
| Apple MacBook Pro (M3 Max) | 36 GB | $3499.10 | 120W | 1.03 | Check Price 🛒 |
| NVIDIA GeForce RTX 4090 | 24 GB | $1802.60 | 450W | 1.33 | Check Price 🛒 |
| NVIDIA GeForce RTX 3090 | 24 GB | $896.62 | 350W | 2.68 | Check Price 🛒 |
Detailed Hardware Analysis
Apple MacBook Pro (M3 Max)
36GB VRAMStable Diffusion 1.5, Stable Diffusion XL (SDXL), Pony Diffusion, FLUX.1 Schnell / Dev
Hunyuan Video (MPS native setup), Wan 2.1 Video (MPS native setup)
NVIDIA GeForce RTX 4090
24GB VRAMFLUX.1 Dev / Schnell (Native FP16), Hunyuan Video, Wan 2.1 Video, Stable Diffusion XL (SDXL)
Multi-Model Video Pipelines, High-batch LoRA training
NVIDIA GeForce RTX 3090
24GB VRAMFLUX.1 Dev / Schnell (Native FP16), Hunyuan Video, Wan 2.1 Video, Stable Diffusion XL (SDXL)
Multi-Model Video Pipelines, High-batch LoRA training