Cosmos3-Super Text2Image (64B) on AMD Ryzen Embedded R2514 / R2544 NAS (64 GB)
Can the AMD Ryzen Embedded R2514 / R2544 NAS (64 GB) run Cosmos3-Super Text2Image (64B)?
Barely: it runs very slowly (CPU offload)
Very slow (CPU offload). At FP8 it needs about 26.1 GB of 54.4 GB usable and takes about 2.6 h per image.
- Best precision
FP8- Memory mode
- Sequential CPU offload
- Time per image
- 2.6 h
- Output
- 1024×1024, 50 steps
Download Cosmos3-Super Text2Image (64B)
Original weights · Hugging Face
Full-precision files from NVIDIA, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.
huggingface.co/nvidia/Cosmos3-Super-Text2Image (opens in a new tab)
Official repo · GitHub
Reference code, inference scripts and docs from NVIDIA. The weights themselves download from Hugging Face.
github.com/nvidia/cosmos (opens in a new tab)
git clone https://github.com/nvidia/cosmosHow it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 40.6 / 45 | |
|---|---|---|
| Memory fit | 12.0 / 25 | |
| Speed | 0.5 / 15 | |
| Memory use | 11.1 / 15 | |
| Match score | 64.1 / 100 |
Every precision on the AMD Ryzen Embedded R2514 / R2544 NAS (64 GB)
| Quant | Memory needed | Available | Speed | Memory mode | Runs | Quality | Download |
|---|---|---|---|---|---|---|---|
FP16 | 48.5 GB | 54.4 GB | 2.9 h | Sequential CPU offload | Very slowtight fit · CPU offload | 92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
FP8 | 26.1 GB | 54.4 GB | 2.6 h | Sequential CPU offload | Very slowCPU offload | 90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Other hardware that runs it
-
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GeForce RTX 5090
-
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA B200
-
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GH200 Grace Hopper (96 GB GPU)
-
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA H100 NVL
-
90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell Server Edition
Quick answers
How much memory does Cosmos3-Super Text2Image (64B) need on the AMD Ryzen Embedded R2514 / R2544 NAS 64GB?
At FP8 it needs about 26.1 GB. The AMD Ryzen Embedded R2514 / R2544 NAS 64GB has 54.4 GB usable.
How long does Cosmos3-Super Text2Image (64B) take on the AMD Ryzen Embedded R2514 / R2544 NAS 64GB?
About 2.6 h per image at FP8 and default settings, an estimate scaled from a reference timing by this hardware’s compute speed.
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.