ComfyUI on NVIDIA DGX Spark
NVIDIA just released NVIDIA DGX Spark. For those who don’t know this is a small form factor computer similar in size to a NUC or a Mac mini. What is special with this one is that both the CPU and GPU are in a single unit made by Nvidia and it has 128GB of unified memory that can be both ram and vram.
NVIDIA DGX Spark supports running ComfyUI extremely well. All the models I have tried work. It’s running Linux so to install ComfyUI on it you can just follow the regular NVIDIA instructions in our readme.
Performance wise it doesn’t beat a full desktop with a 5090 but it can run models and workloads that are too large for even high-end desktop systems.
Key features and technology callouts for DGX Spark platforms:
NVIDIA GB10 Grace Blackwell Superchip
128 GB LPDDR5x Coherent Unified System Memory
NVIDIA ConnectX-7 SmartNIC
(we have two of them so we might try it in the future to see how well it works with the ComfyUI multi GPU stuff)NVIDIA AI Software Stack
(comes with all NVIDIA CUDA, etc.. stuff already installed)
We will have benchmarks in a future blog post.
With the arrival of this tool, I expected a significant improvement in the training of models such as Checkpoints and LoRas, with improved image quality and fidelity.
Do you know of any performance benchmarks focused on image and Beto generation and fine tuning ? From some of the YouTube reviews, DGX performance on image and video reference are not so impressive