With every passing day, an increasing number of professionals rely on GPU-assisted software to get the job done. Whether that’s 3D modeling, prototyping, geological work, or creative pursuits, workstations are becoming more common in the workplace. These aren’t the same massive rigs that used to power these jobs, and AMD is targeting the mainstream market with three powerful new WX Series professional GPUs that all take up just one PCIe slot each.
That’s right, whether it’s the unassuming but powerful WX 4100, or the WX 7100, which AMD claims is the world’s most powerful single-slot workstation GPU, all the cards are designed to fit in smaller cases with more basic power supplies.
The aforementioned WX 4100 sits at the bottom end of the trio, and is an ideal option for small systems and lightweight CAD users. This little beast generates 2.4 Teraflops of maximum power on just 50 watts or less, allowing the 6.6-inch, 4GB card to work even in systems without extra power cables coming off the power supply. When it launches on November 10, the WX 4100 will cost $399.
Next up, the mid-tier WX 5100 is built for real-time visualization and design at 1,920 x 1,080. It generates 3.9 Tflops on just 75 watts of power — without any external power, once again — and packs in a full 8GB of GDDR5 memory. It’s not built for gaming, but instead to allow quick iteration and prototyping throughout the design phase. The WX 5100 comes out a little later than the other two cards, and will cost $499 when it lands on shelves.
Finally, the top-of-the-line WX 7100 packs the most performance possible into the single-wide PCIe form factor. It boasts a lofty 5.7 Tflops with 8GB of GDDR5. Power usage stays under 130 watts, so you’ll need external power, but it should be fine even in systems with modest power supplies. It’s built for virtual reality and above-1080p developers, who need serious performance for testing and optimization. That power doesn’t come cheap, at $799 for the WX 7100 when it becomes available on November 10.
If these prices look steep to you, it’s important to remember these aren’t gaming cards like the Radeon RX series, despite how their specifications may look on paper. They lack a number of the gaming-focused benefits those cards possess, although the WX Series is based on the GCN 4.0 architecture, so they support multi-card setups through CrossFire, and FreeSync over DisplayPort. Still, it’s unlikely anyone who isn’t using these cards to make money with these cards would buy them, but anyone looking for a work upgrade should keep an eye out for these slim, powerful GPUs.
After five years with Apple silicon, from the original M1 MacBook Air to the M5 MacBook Air released earlier this year, I've watched these chips mature not just on the spec sheet, but in real-world workflows and overall efficiency.
The new M6 chip might sound like a routine generational upgrade, but it's the company's first chip built on a 2nm manufacturing process, which brings meaningful improvements over previous Apple chips.
Gemini Notebook’s mobile app now has a built-in recorder for capturing lectures and meetings as sources. You can record directly where you’ll use the material, skipping the separate recording app and the file upload afterward.
Google announced the feature on X, highlighting classroom lectures and team meetings as potential uses. It also works for capturing your own thoughts, so you can talk through an idea and bring that explanation into your notebook while it’s still fresh.
In 1950, Alan Turing asked whether machines can think. Rather than argue over definitions, he turned the question into a party game, where an interrogator trades typed messages with hidden players and tries to work out who is who. Since then, chatbots have gotten so good that they have already fooled humans in modern versions of the test.
So, four researchers from Paris Cité University asked the obvious follow-up question in a new study published in Computers in Human Behavior Reports: can AI at least catch its own kind?