NVIDIA released a new petaflop AI computer DGX Spark (aka DIGITS). There is an ASUS version using the same Nvidia chip and board. These compete with Apple and other third parties for personal AI developer systems.
The Apple M3 Ultra can scale to 512 GB per unit, offering vastly more total memory (up to 2.56 TB for five units), ideal for large language models (LLMs) or datasets exceeding 600 billion parameters.
Aggregate bandwidth assumes independent operation. Clustering (e.g., via Thunderbolt 5 or 10GbE) could pool resources, but that’s not standard out of the box.
The base M4 Max setup is the cheapest at $9,995 for five, while the M3 Ultra with 512 GB memory pushes the total to $48,495, still under $10,000 per unit.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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