Comment by brunohaid
1 year ago
Still surprised that the $3000 NVIDIA Digits doesn’t come up more often in that and also the gung-ho market cap discussion.
I was an AI sceptic until 6 months ago, but that’s probably going to be my dev setup from spring onwards - running DeepSeek on it locally, with a nice RAG to pull in local documentation and datasheets, plus a curl plugin.
It'll probably be more relevant when you can actually buy the things.
It's just vaporware until then.
Call me naive, but I somehow trust them to deliver in time/specs?
It’s also a more general comment around „AI desktop appliance“ vs homebuilts. I’d rather give NVIDIA/AMD $3k for a well adjusted local box than tinkering too much or feeding the next tech moloch, and have a hunch I’m not the only one feeling that way. Once it’s possible of course.
Oh, if it's anything close to what they claim, I'll probably buy one as well, but I certainly do not expect them to deliver on time.
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Also, LPDDR memory, and no published bandwidth numbers.
Seeing as it is going to deliver 1 PFLOP, it will need to have similar speed as the "native" (GDDR) counterpart otherwise it will only be able to hit that performance as long as all data is in the cache...
My guess is that they will use the RTX 5070 Ti laptop version (992 TFLOPS, slightly higher clocked to reach 1000 TFLOPS/ 1 PFLOP).
Their big GB200 chips have 546 GB/s to their LPDDR memory, they could use the same memory controler on the GB10. They don't need to design a new one. It would still be slower than what they are currently using on the RTX 5070 Ti laptop GPU, but any slower than that, and there is no chance that they could argue that it would hit anywhere near 1 PFLOP of FP4. It would only be possible in extreme edge case scenarios when all data will fit in it's 40MB L2 cache.
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and people are missing the "Starting at" price. I suspect the advertised specs will end up more than $3k. If it comes out at that price, i'm in for 2. But I'm not holding my breath given Nvidia and all.
CPU (20 ARM cores), GPU (1 PFLOP of FP4) and memory (128 GB) seems fixed, so the only configurable parts would be storage (up to 4TB) and cabling (if you want to connect two DIGITS).
We kind of know what storage cost in a store and we know that Apple (Mac computers) and every phone manufacturer adds a ton of cost for a small increase. NVIDIA will probably do the same.
I have no idea what the cost for their cabling would be, but they exist in 100G, 200G, 400G and 800G speeds and you seem to need two of them.
If you are only going to use one DIGITS, and you can make do with whatever is the smallest storage option, then it is $3000. Many people might have another computer (set up FTP/SMB or similar solution), NAS or USB thumbdrive/external hardrive where they can stor extra data, and in that case you can have more storage without paying for more.
I'm not sure you can fit a decent quant of R1 in digits, 128 GB of memory is not enough for 8 and I'm not sure of 4 but I have my doubts. So you might have to go for around 1, which has a significant quality loss.
You can connect two, and get 256 GB. But it will still not be enough to run it in native format. You will still need to use lower quant.
The webpage does not say $3000 but starting at $3000. I am not so optimistic that the base model will actually be capable of this.
They won't have different models, in any other ways than if you want more storage (up to 4 TB, we don't know the lowest they will sell) and cabling necessary for connecting two DIGITS (it won't be included in the box).
We already know that it is going to be one single CPU and GPU and fixed memory. The GPU is most likely the RTX 5070 Ti laptop model (992 TFLOPS, clocked 1% higher to get 1 PFLOP).
probably because nvidia digits is just a concept rn