NVIDIA brings Grace Blackwell closer to everyone... What does this mean for AI developers?

Seeking Advice
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CES announced today that NVIDIA is rolling out Project DIGITS, a personal AI supercomputer. This system gives AI researchers, data scientists, and even students access to the NVIDIA Grace Blackwell platform.

The idea is to make AI supercomputing more accessible. With the Grace Blackwell setup, people can test and tweak AI models on their local systems and later scale them up using cloud services or data center setups. This seems like a big step for developers wanting to experiment on their own but also have the flexibility to go big when needed.

The system supports tools like PyTorch, Python, and Jupyter notebooks, among others. It also includes frameworks like NVIDIA NeMo and RAPIDS, which could make data science and AI development much faster and more efficient.

What are your thoughts? Will this change how AI projects are handled in the future?

Link to the full article: NVIDIA Puts Grace Blackwell on Every Desk and at Every AI Developer's Fingertips By Investing.com

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It comes with a 20-core CPU, 128GB of memory, a 4TB flash drive, and can supposedly handle 200B models. Plus, it delivers 1 petaFLOPS (FP4). All for $3,000. Thoughts?

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Shai said:
It comes with a 20-core CPU, 128GB of memory, a 4TB flash drive, and can supposedly handle 200B models. Plus, it delivers 1 petaFLOPS (FP4). All for $3,000. Thoughts?

Honestly, at this price, I might just get one instead of upgrading my current PC.

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Shai said:
It comes with a 20-core CPU, 128GB of memory, a 4TB flash drive, and can supposedly handle 200B models. Plus, it delivers 1 petaFLOPS (FP4). All for $3,000. Thoughts?

Yeah, but can it run Crysis?

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This is empty, admin should fix

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Kari said:
[deleted]

The deleted comment probably had some skepticism about how practical this will be for hobbyists. What do you think? Can regular folks actually make full use of this?