Of course no chance of this with x86 because of market segmentation.
No chance because they don't have x86 license.
Nvidia's Project Digits is a 'personal AI supercomputer'
161–170 of 510 posts
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#162Earlier quoted context omitted.
Of course. It has much less FLOPs than the 5090, after all this will have a TDP of ~50W and run off a regular USB-PD power supply. It's basically the successor to the AGX Orin and in line with its pricing (considering it comes with a fast NIC). The AGX Orin had RTX 3050 levels of performance.
Yes and no. Jetson line (which Jetson AGX Orin is a part of) is also providing multi-camera support (with MIPI CSI-2 connectors) and other real-time / microcontroller stuff, as well as rugged options via partners. I hope to see new Jetsons based on Blackwell sometime in 2026 (they tend to be slow to release those).
Yeah, i guess its more a branch off the jetson line. Or a midpoint between the Jetsons, IGX Orin (not a typo) and Data Center offerings.
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#163Earlier quoted context omitted.
I think the enthusiast side of things is a negligible part of the market. That said, enthusiasts do help drive a lot of the improvements to the tech stack so if they start using this, it’ll entrench NVIDIA even more.
You could have said the same about gamers buying expensive hardware in the 00's. It's what made Nvidia big.
I keep thinking about stocks that have 100xd, and most seemed like obscure names to me as a layman. But man, Nvidia was a household name to anyone that ever played any game. And still so many of us never bothered buying the stock
Incredible fumble for me personally as an investor
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#164Nvidia releases a Linux desktop supercomputer that's better price/performance wise than anything Wintel is doing and their whole new software stack will only run on WSL2. They aren't porting to Win32. Wow, it may actually be the year of Linux on the Desktop.
Because NVidia naturally doesn't want to pay for Windows licenses.
NVidia works closely with Microsoft to develop their cards, all major features come first in DirectX, before landing on Vulkan and OpenGL as NVidia extensions, and eventually become standard after other vendors follow up with similar extensions.
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#165Earlier quoted context omitted.
I originally thought so, since the previous Grace CPUs used the neoverse N2, which loses to Apple's M4 cores. However apparently 10 of the cores are the Cortex-X925 CPUs, which are a serious upgrade. Basically 10 performance cores and 10 efficiency cores that should be pretty competitive with any current apple CPU.
M4 Max is 12 performance cores and 4 efficiency cores, the former of which are basically the fastest single-core performance you can buy right now, and the latter of which have never been touched by any architecture for their energy class. It seems highly unlikely that what you say is the case.
The cortex X925 is pretty competitive. Seems similarly aggressive to the Apple M4. Both have 10 wide decode and disbatch, pretty exceptional single thread, and good overall performance.
Seems close enough that it might well come down to if your application uses SVE (which the X925 has) or SME (which apple has). I believe generally SVE is much easier to use without using Apple proprietary libraries.
Of if you need significant memory bandwidth, apple M4 peaks at around 200GB/sec or so, the other 300GB/sec or so is available for the GPUs.
Seems quite plausible that 10 * x925 and 10 * A725 might well be more collective performance than apples 12 p-cores + 4 e-cores. But sure it's a bit early to tell and things like OS, kernel, compiler, thermal management, libraries, etc will impact actual real world performance.
Generally I'd expect the Nvidia Project Digit 10 p cores + 10 e cores + healthy memory system to be in the same ball park as the apple M4 max.
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#166Earlier quoted context omitted.
"Linux API on top of Windows" is an interesting way to describe a virtual machine.
WSL1 was "Linux API on top of Windows", WSL2 is "Linux VM on top of Windows"
More like,
WSL1 was "Linux API on top of NT kernel picoprocesses", WSL2 is "Linux VM on top of Hyper-V"
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#167Earlier quoted context omitted.
The quotes I've seen mention the maximum config (128GB ram and 4TB of storage) and the minimum price. Nothing saying $3k for 128GB ram and 4TB of storage. I hope I'm wrong, but I'm betting the max price is at least twice the minimum price.
This is NVIDIA, not Apple. They don't charge you a RAM tax (at least for this product). There is only one config for RAM: 128GB.
It's been far from clear what config options are going to be available, and the $3,000 price is the "starting at" price. Not sure what the options will be, but people have collectively found statements that imply all configs will have 128GB ram. Sounds good, I hope it's true.
Seems like the storage will have options, because it's "up to 4TB". Unsure if there will be differently binned CPUs (clock or number of cores). Or connectX optional or at different speeds.
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#168Earlier quoted context omitted.
“Bigger” in what sense? For AI? Sure, because this an AI product. 5x series are gaming cards.
Not expecting this to compete with the 5x series in terms of gaming; But it's interesting to note the increase in gaming performance Jensen was speaking about with Blackwell was larger related to inferenced frames generated by the tensor cores. I wonder how it would go as a productivity/tinkering/gaming rig? Could a GPU potentially be stacked in the same way an additional Digit can?
Would hadn't nvidia cripple nvlink on geforce.
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#169I'm a bit surprised by the amount of comments comparing the cost to (often cheap) cloud solutions. Nvidia's value proposition is completely different in my opinion. Say I have a startup in the EU that handles personal data or some company secrets and wants to use an LLM to analyse it (like using RAG). Having that data never leave your basement sure can be worth more than $3000 if performance is not a bottleneck.
100% I see many SMEs not willing to send their data to some cloud black box.
Re: Nvidia's Project Digits is a 'personal AI supercomputer'
#170Will there be a healthy "personal AI supercomputer" economy to generate demand for this? (NB: spam generators are only a parasite on any digital economy, viable to the extend they don't kill the host).
One can only wish for this, but Nvidia would be going against the decades-long trend to emaciate local computing in favor of concentrating all compute on somebody else's linux (aka: cloud).