Skip to main content

Nvidia crams four Titan X video cards into new Digits Devbox, priced at $15,000

Most people think Nvidia as a gaming company, but it has expanded significantly into enterprise and research markets over the past half-decade. The company believes that GPUs, with their numerous cores and incredible performance, are the best choice for people who have extreme computing needs.

This is why Nvidia has consistently produced cards that target these users, including not just Quadro but also various Titan graphics cards with extreme frame buffers or double-precision math (and, in the case of the old Titan Z, both). Now the company has taken things a step further by introducing its own computer.

Recommended Videos

Related: The Titan X is revealed with 12GB of memory for $999

Called the Digits Devbox, the system offers four of the company’s new Titan X graphics cards in quad-SLI arrangement. This makes for the most powerful configuration of GPU hardware that can be packed into a single PC. Even two Titan Z cards can’t achieve the same performance, as quad-SLI is the maximum possible, and each GPU in the Titan Z is slower than that in the Titan X.

The other specifications are equally impressive, and include an ASUS X99 motherboard with Core i7, Haswell-E processor, up to 64GB of DDR4 memory, support for every form of mechanical and solid state storage available and a power supply that pumps out a maximum of 1500 watts.

Because it is designed for developers, the system will run Ubuntu 14.04 and will come with minimal documentation. It also runs software from Nvidia’s appropriately named Digits framework, which is designed to help researchers configure, monitor and process data from deep neural networks. Also included is the company’s CUDA toolkit.

While some gamers might see this as the ultimate Steambox, the Devbox is built for work rather than play. You’ll be able to pick up the Devbox in May for a whopping $15,000. That’s more than you’d pay for a Windows PC configured with the same hardware, so it’s clear that Nvidia is placing some value on its software as well as its hardware. Developers can sign up for access to the Devbox today, and an online configurator is planned for the near future.

Matthew S. Smith
Matthew S. Smith is the former Lead Editor, Reviews at Digital Trends. He previously guided the Products Team, which dives…
This Lenovo ThinkPad is usually $2,059 — today it’s under $1,000
The Lenovo ThinkPad L13 Yoga 2-in-1 laptop in tablet mode.

You can enjoy the best of both worlds between laptop deals and tablet deals if you go for a 2-in-1 laptop like the Lenovo ThinkPad L13 Yoga Gen 4, which is currently on sale from Lenovo itself at 54% off. Its estimated value of $2,059 may seem a bit too high, but in any case, it's a smart purchase at its discounted price of just $931. You'll have to be quick in finishing the purchase process for this device though, as it may be back to its regular price as soon as tomorrow.

Why you should buy the Lenovo ThinkPad L13 Yoga Gen 4 2-in-1 laptop

Read more
‘You can’t lick a badger twice’: How Google’s AI Overview hallucinates idioms
Samples of Google AI Overview errors.

The latest AI trend is a funny one, as a user has discovered that you can plug a made-up phrase into Google and append it with "meaning," then Google's AI Overview feature will hallucinate a meaning for the phrase.

Historian Greg Jenner kicked off the trend with a post on Bluesky in which he asked Google to explain the meaning of "You can't lick a badger twice." AI Overview helpfully explained that this expression means that you can't deceive someone a second time after they've already been tricked once -- which seems like a reasonable explanation, but ignores the fact that this idiom didn't exist before this query went viral.

Read more
You can now try Adobe’s new app to digitally sign your artwork for free
Adobe Content Authenticity app graphic.

First announced in October, Adobe's Content Authenticity app is now in public beta, and anyone can try it for free. The app allows people to add "Content Credentials" to their digital work -- invisible and secure metadata that shares information about the creator. AI can't edit it out like a watermark and it still works even when someone screenshots the original file.

You can add various information to your Content Credentials, such as your name (which can be verified via LinkedIn) and your social media accounts. You can also express your preferences toward generative AI training. This is an experimental feature aiming to get a headstart on future AI regulation that Adobe hopes will respect the creator's choice regarding training data.

Read more