Hacker News Reader

Am I missing something or does the comparably priced (technically cheaper) Jetson Thor have double the PFLOPs of the Spark with the same memory capacity and similar bandwidth?

View on HN

My understanding is the DGX Spark is optimized for training / fine tuning and the Jetson Thor is optimized for running inference.

Architecturally, the DGX Spark has a far better cache setup to feed the GPU, and offers NVLINK support.

There's a lot of segmentation going on in the Blackwell generation from what I'm told.

Also Thor is actually getting sent out to robotics companies already. Did anyone outside Nvidia get a DGX Spark yet?

Reply on news.ycombinator.com