They’re mortal enemies. Sworn rivals. The two top names when it comes to the best graphics cards, duking it out even over petty performance difference. And yet, AMD and Nvidia are partnering for the launch of Team Red’s 5th-gen Epyc server CPUs, code-named Turin.
Through what AMD called a “technical partnership,” Nvidia is providing guidance on how to pair its HGX and MGX data center GPU clusters with AMD’s new Epyc CPUs. Despite the fact that AMD makes its own Instinct AI accelerators, the partnership seems like a read on reality. Customers will want to use Nvidia GPUs with AMD CPUs, and the two companies came together to provide that guidance.
And that’s a good thing because AMD’s new data center chips look mighty impressive. The bedrock they are built on is the Zen 5 architecture that we saw in CPUs like the Ryzen 9 9950X and Ryzen 9900X, but massively expanded. You can see the dizzying product stack below, which ranges from CPUs from eight cores all the way up to a massive chip packing 192 of AMD’s Zen 5c cores. And as a cherry on top, the sweet spot 64-core 9575F can hit 5GHz — a first for AMD’s data center chips.
AMD is showing some pretty massive performance gains, too — 2.7x the performance on the SPEC CPU benchmark compared to an Intel Emerald Rapid Xeon CPU, and up to four times the enterprise performance, which looks at transcoding video. Intel just recently launched its Granite Rapid Xeon CPUs, but AMD didn’t share any performance numbers for those chips.
Turin CPUs are massive, and it’s no wonder that Nvidia is working with AMD to provide guidance to customers. Still, AMD isn’t down for the count when it comes to data center GPUs. The company formally launched its new Instinct MI325X AI accelerator alongside Turin CPUs, which it previously previewed at Computex earlier this year. A single GPU packs 256GB of HBM3E memory, and when organized into a cluster, AMD says the platform can support up to 2TB of HBM3E memory and 48TB/s of memory bandwidth.
AMD is still gunning after Nvidia’s AI crown with the GPU, too. The company showed the MI325X outperforming Nvidia’s H200 in AI inference and providing performance parity in AI training. Nvidia has moved onto its Blackwell data center GPUs, but the H200 comparison is still fair given how rapidly AI hardware is rolling out these days.
Although most of the readers here at Digital Trends will never interact directly with this hardware, it’s still nice to look and gawk at just how much power companies like AMD can squeeze onto a CPU. Behind the scenes, AMD’s Epyc CPUs help power dozens of services we all interact with every day, from Netflix to Snapchat and beyond.
Touchscreen laptops have been around for years. You can get them in all sizes and shapes. Just not from Apple. For years, the Cupertino giant has treated the idea of a touchscreen MacBook the way I treat a meeting that could have been an email: with open contempt. However, Wednesday looks like the day the company could finally change its mind.
The latest Apple invite puts the “Pro and Tell” showcase in Los Angeles at 10 a.m. PT (1 p.m. ET) on October 28, 2026. Instead of a regular live-streamed keynote, it is an invitation-only, hands-on event for a handful of press and creators (similar to what the company did for the MacBook Neo earlier this year).
Two residents of Chicago have filed a lawsuit in the US over claims that robots run by Coco Robotics and Serve Robotics captured their facial and hand measurements without consent, bringing renewed attention to the food delivery robots. The cases raise a troubling question: If a robot delivers food to your door, can it also be gathering sensitive information about you?
According to a report by The Associated Press, the proposed class-action lawsuits were filed in Cook County on Oct. 9 and allege violations of Illinois’ Biometric Information Privacy Act. The complaints claim that the robots’ cameras and LiDAR sensors captured information on customers’ faces and hands as they approached the machines to pick up their orders. Both have denied the allegations.
Nearly a month after announcing the GPT-6.1 Sol model, OpenAI unveiled GPT-6.1 Terra today. The latest addition to the family focuses on computer use, visual reasoning, coding, and professional work, while costing 50% less through the API than GPT-5.6 Terra.
OpenAI says Terra can handle everything from filling out browser forms and working inside spreadsheets to interpreting technical drawings and editing videos. The company says it can also complete computer-based tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol.