Lenovo introduced the entry-level gaming laptop Legion Y7000P 2023. In fact, it is very similar in terms of parameters to the geekbook – Lenovo GeekPro G5000, but the Y7000P is positioned a little higher.

The Legion Y7000P 2023 is equipped with a 16-inch IPS screen with a resolution of 2560 x 1600 pixels, a frame rate of 165 Hz, and a brightness of 350 cd/m2. and covering 100% of the sRGB color space.

In the base there is an Intrel Core i5-13500H processor and a dGPU Nvidia GeForce RTX 4050 Laptop, and in the top version there is a Core i7-13700H and GeForce RTX 4060 Laptop. The amount of DDR5 RAM is 16 GB (two slots, so the amount of RAM can be increased), SSD – 1 TB.

Also in the configuration are Wi-Fi 6 and Ethernet 2.5 Gigabit adapters, a 140 W charger connected to the USB-C port, and an 80 Wh battery. Pricing hasn’t been announced yet, but this model shouldn’t be much more expensive than the GeekPro G5000.

Also today, Lenovo introduced the Lenovo Legion Y900 tablet (with 3K screen and 12,300 mAh battery) and its most powerful gaming laptop, the Legion Y9000P Extreme Edition.

Video cards with a small amount of memory can sometimes still perform well in modern games, if we are talking about the flagship solutions of yesteryear. However, now there is at least one game where accelerators with less than 4 GB of memory simply will not work. This is Halo Infinite.

A fresh patch for this game now simply does not allow you to run it on a PC with video cards that have less than 4 GB of memory. At the same time, such changes are not mentioned in the description of the patch.

It can be noted that the requirement in the form of at least 4 GB of memory has always been in the game, but usually such requirements are conditional. In particular, Halo Infinite ran on inappropriate 3D maps prior to the patch. For example, there are a lot of videos on the Web where the game is tested, including on a GeForce GTX 1050 with 2 GB of memory, which is quite enough to play even in Full HD with minimal graphics quality settings. But there is a much more powerful GeForce GTX 1060 3GB, which feels quite tolerable even in more demanding games.

There is a possibility that the restriction is just a mistake and will be removed soon. But not at all a fact.

Nvidia introduced the H100 NVL accelerator, which, apparently, was created specifically for training language models. Servers equipped with H100 NVL GPUs deliver up to 12x the performance of the GPT-175B over DGX A100 systems while maintaining low latency in power-constrained data center environments, according to Nvidia’s website.

In fact, the H100 NVL is a pair of H100s on the same board. We are talking about two GPUs connected by an NVLink interface, thanks to which Nvidia says 68 TFLOPS in double precision calculations (FP64), 143 TFLOPS (Tensor Core FP64), 7916 TOPS (IN8), 188 GB of memory with a bandwidth of 7.8 TB /With. All this allows you to process up to 175 billion ChatGPT parameters in real time.

Nvidia also announced the launch of inference platforms for large language models and generative AI workloads. We are talking about four inference platforms at once, optimized for a diverse set of rapidly developing applications of generative AI.

Each platform combines a full stack of inference software, the company’s latest GPUs, from gaming Ada Lovelace to dedicated Hoppers, and the Grace Hopper Superchip.