Skip to main content
  1. Home
  2. Computing
  3. Business
  4. Mobile
  5. News

Dell refreshes the XPS 13 Developer Edition laptops with Kaby Lake processors

Add as a preferred source on Google

Senior Principal Engineer at Dell Barton George wrote in a recent blog the company unveiled a new version of its XPS 13 Developer Edition laptop in the United States and Europe. As a refresher, this laptop is the result of George’s Project Sputnik initiative to provide an Ubuntu-based solution to developers. The laptop is now in its sixth generation packing a seventh-generation Intel Kaby Lake processor and an InfinityEdge display.

“From the very beginning, the effort was designed to solicit and incorporate input from the developer community as to what they wanted in a laptop,” he said. “With the community’s input, Project Sputnik became an official product and continues to evolve.”

Recommended Videos

Without getting into the details, George provided a brief rundown of what the four new XPS 13 Developer Edition models sold in the United States are now offering. Note that all four comes packed with the Ubuntu 16.04 LTS operating system:

  Model 1 Model 2 Model 3 Model 4
Intel processor Core i5-7200U Core i5-7200U Core i7-7500U Core i7500U
Memory 8GB 8GB 8GB 16GB
Storage 128GB SSD 256GB SSD 256GB SSD 512GB SSD
Resolution 1,920 x 1,080 1,920 x 1,080 3,200 x 1,800 3,200 x 1,800
Touch No No Yes Yes
Rose Gold Version Silver only Yes Silver only Silver only
Price $950 $1,350 $1,600 $1,800

As the table shows above, we could only find two of the mentioned four Ubuntu-based laptops on Dell’s website. However, all models have two USB 3.0 ports (one with PowerShare), one SD card reader, one headset jack, one Noble lock slot, and one Thunderbolt 3 port that adds VGA, HDMI, Ethernet, and USB 3.1 connectivity through a special adapter sold separately.

Based on Dell’s portfolio of XPS 13 laptops, all models rely on two LPDDR3 system memory sticks clocked at 1,866MHz and integrated Intel HD Graphics. They also include a 720p webcam, a backlit chiclet keyboard with 1.3mm of travel (full sized), a 60WHr battery, Bluetooth 4.1, and dual-band Wireless AC connectivity. The screens are 13.3 inches across all models.

Of course, if you are not in the Ubuntu mood, Dell offers vanilla non-Developer Edition models with Windows 10 Home and Windows 10 Pro. There are nine models in all with starting prices ranging from $800 to $1,700. Like the Ubuntu units, these laptops rely on Intel’s new Kaby Lake Core i5-7200U and Core i7-7500U processors, 8GB to 16GB of system memory, and solid-state drives.

Just weeks ago, Linux creator Linus Torvalds said the Dell XPS 13 Developer Edition was his mobile platform of choice given that it provides everything he needs in a laptop. He actually bought two units within the last month, one of which he handed over to his daughter Daniela to use in college. One of the biggest selling points was the laptop’s thin bezel, he said.

“That was really what made me pick it for Daniela in the first place,” he said. “It just ends up hitting my two primary goals very well: small and portable, but with the biggest screen you can cram into that size.”

Linux, of course, is the foundation of Ubuntu, which is the operating system installed on Dell’s XPS 13 Developer Edition laptops. That should be good news for Dell to hear, and should help customers decide if Dell’s Ubuntu-powered laptop is the best choice for their developer needs.

Kevin Parrish
Kevin started taking PCs apart in the 90s when Quake was on the way and his PC lacked the required components. Since then…
What’s the Right Laptop for a Student on a $1,000 Budget?
The best college laptop isn't the one with the longest spec sheet. It's the one that fits your budget and the way you'll actually use it.
Dell XPS 14 Review: Sticker

This post is brought to you in paid partnership with Dell

Buying a laptop for college isn't a decision made in isolation. Tuition, textbooks, housing, meal plans, transportation, and course materials all compete for the same budget, leaving most families with one question before the semester begins: how much is enough to spend on a laptop without paying for features that may never get used?

Read more
Siri is about to hear everything you say, but Apple’s privacy approach has me cautiously on board
Apple's new Audio Intelligence features want to hear almost everything you say. A privacy document released alongside them explains why I am mostly okay with that.
Apple Watch Audio Intelligence features

Apple used its September 2026 launch event to enter a feature category it has mostly avoided until now: ambient listening. Siri Recap, Live Rewind, Music Recognition with Shazam, and Sound Recognition all landed on the Apple Watch Series 12 and Apple Watch Ultra 4. All four depend on the watch microphone picking up sound around you far more often than any previous Apple product has.

Siri Recap listens for conversations throughout your day and turns them into short AI summaries you can check later. Live Rewind is smaller in scope but arguably more useful day-to-day. It transcribes the last 15 seconds of whatever was just said with a double-press of the crown. This is perfect for catching a name, a book title, or directions you missed the first time. Music Recognition uses Shazam to identify songs playing nearby without you lifting a finger, much like Now Playing on Google's Pixel devices. Sound Recognition is a useful accessibility feature that listens for sirens, doorbells, and alarms to alert users who have a hearing impairment.

Read more
Can You Turn a Mini PC Into a Local AI Agent?
Furniture, Table, Computer

This post is brought to you in paid partnership with MSI

Not every AI task needs the scale of the cloud. An employee searching company documents, a retail kiosk answering product questions, or a digital sign reacting to customer behavior all need fast responses, but they don't necessarily need to send every prompt to a remote data center. Running those workloads locally reduces latency, keeps sensitive information closer to where it's generated, and can lower the ongoing cost of AI deployments. As a result, many organizations are moving toward hybrid AI architectures that handle routine requests on-device while reserving cloud models for tasks that genuinely need more processing power.

Read more