In less than a month Microsoft to host an event dedicated to the PC ecosystem Overall, there’s also a focus on innovation related to Windows, NVIDIA RTX Spark, and Surface. The theme of the event is “How local artificial intelligence will shape the next chapter of personal computing.” Let’s take a look at all the details and expectations below.
Microsoft event dates
First of all, this event Will be held on October 7 In San Francisco. Of course, we’ll keep you posted on any announcements. As we expected, the protagonist will also be Windows Surface e RTX Sparkwhose announcement dates back several months. Microsoft CEO Satya Nadella will also attend the event Jen-Hsun HuangNVIDIA CEO, and Pavan Davuluti, executive vice president of Microsoft’s Windows + Devices Group. We can probably expect more about Surface Laptop Ultrawhich will be powered by NVIDIA RTX Spark.
Microsoft Surface Ultra is a new laptop with NVIDIA RTX Spark and a super-bright display
Artificial intelligence will play a vital role in this event and upcoming devices. We recall that the laptop was announced last June, but not many details were provided. The same goes for other manufacturers that have released laptops with RTX Spark, but pricing information is still unknown. So this could be the perfect opportunity to know all the details on the matter.
What is RTX Spark
For those who don’t know, this is a Chip system based on Grace CPU and Blackwell RTX GPUdesigned for local artificial intelligence. It is a unified solution designed for Maximize energy, shared bandwidth and artificial intelligence accelerationproviding the performance of high-end gaming laptops while maintaining power consumption close to modern ultra-high-end laptops.
NVIDIA RTX Spark practical application: 3A games really come to Windows ARM
This is not just a platform designed for gaming and creativity, but most importantly Run AI agents directly on the device. The new chip is expected to achieve up to 1 petaflop of AI computing power. Configurations with unified memory up to 128 GB. Additionally, the system should Manage language models with 120 billion parameters Context with up to one million tokens. We’ll just have to wait to learn more details.