Microsoft’s Copilot assistant, integrated into Windows 11, will soon move to the GPT-4 Turbo language model.

General Director of Advertising and Web Services at Microsoft, Mikhail Parakhin, said that the company still needs to correct some shortcomings. However, no time frame for the transition has been announced yet.

As a reminder, GPT-4 Turbo features a large number of improvements relative to GPT-4, including a context window for 128,000 tokens. True, with Copilot it may well be limited.

In addition, this language model is trained on data up to April 2023, which gives it an advantage over older versions.

The OneXGPU external video card has finally become available for order. The company has entered Indiegogo, and anyone can now buy the device as part of a fundraising campaign.

The campaign price is $600. At retail, the device will cost $790, which is more expensive than a similar product from GPD. However, let us remind you that OneXGPU is not just an external video card with a large set of ports. There is a slot for an M.2 SSD, so all games can be stored directly on the video card.

Let us remind you that the OneXGPU is based on the mobile Radeon RX 7600M XT, which is identical in basic parameters to the desktop RX 7600. It is worth noting that in this case the TDP is 120 W. The dimensions of the device are 188 × 106 × 16 mm and weighs 789 g. You can also note a USB4 port, a pair of HDMI, a pair of DisplayPort, RJ45 and two USB 3.2. Active CO with an evaporation chamber is responsible for cooling. The Oculink port is used to connect to a PC or console, but USB4 can also be used.

The company promises deliveries in early 2024. The campaign, by the way, is already successful: with the requested $10,000, more than $110,000 has already been collected, and there is still a whole month left.

Nvidia and Amazon Web Services (AWS) announced the expansion of their strategic cooperation, which will also include the construction of the fastest artificial intelligence supercomputer, Ceiba.

Ceiba will have 16,384 GH200 Superchips and will have a performance of an incredible 65 ExaFLOPS. True, it’s worth saying right away that this is performance specifically in AI tasks, that is, we are not talking about calculations with double or single precision. There is no data on classical indicators.

But this is not all that expansion of cooperation will consist of. Amazon will also use the latest Nvidia adapters for its Amazon EC2 service. We are talking about accelerators GH200, H200, L40S and L4. Overall, the press release said the companies will combine the best of their technologies—from Nvidia’s latest multi-node systems with next-generation GPUs, processors, and AI software, to the advanced virtualization and security of the AWS Nitro system, Elastic Fabric Adapter (EFA) interconnect, and UltraCluster.