On the occasion of this year’s edition of Mobile World Congress (MWC) of Barcelona, NVidia brought its latest two innovations: the GPU per notebook RTX 500 and RTX 1000 Ada Generation, based on the architecture There’s Lovelace.
NVidia’s primary intent appears to be to democratizing artificial intelligence allowing it to be used locally even on PCs entry-level. Those who have lower-end systems, even without reaching the minimum specifications of AI PCs defined by Microsoft, are in fact unable to use id generative models without relying on the resources available on the cloud. Also Fooocus, one of the most effective applications that make things of the past i photo editing programs and image editing, requires at least the presence of an NVidia RTX 3xxx/4xxx graphics card, preferably with 8 GB of VRAM. And it’s also little compared to requirements much more stringent than other AI-based solutions.
What NVidia RTX 500 and 1000 Ada Generation GPUs Really Are
NVidia notes that next-generation Ada Generation GPU-based mobile workstations, including the new RTX 500 and 1000, will include both a neural processing unit (NPU), as a CPU component, is the NVidia RTX GPU. The RTX 500 and RTX 1000 GPUs are equipped with a neural processing unit (NPU) to assist AI processing. Furthermore, each GPU is equipped with 2048-2560 CUDA cores and 64-80 Tensor cores, so as to manage the most complex AI workflows: we are talking about performances that are around 154-193 TOPS.
The new products are attracting attention not so much because they constitute an expansion of the NVidia series RTX Ada Generation announced in 2023, but precisely because they are intended for less expensive notebooks.
Machines equipped with a “simple” RTX 500according to NVidia, offer up to 14 times better performance than CPU-only configurations, with models like Stable Diffusion. The leap forward, in terms of performance, is up to 3 times in the activities of editing photos and up to 10 times in 3D graphic rendering AI-based.
It seems clear, however, that the typical applications for the new RTX 500 and RTX 1000 GPUs they will have to do with the application of quality AI effects during video conferences, with video upscaling and native acceleration of applications based on the various generative models.
Using a video editorFor example, AI can be used to simplify tasks such as removing background noise; graphic designers can increase image resolution without loss of quality, professionals can manage quality video conferencing and streaming on the go.
The two newly announced GPU models will be presented to the market in spring. They will debut on workstation mobili from manufacturers such as Dell, HP, Lenovo and MSI.
The full series of NVidia RTX cards support local AI applications
For users interested in leveraging AI for advanced rendering, engaging workflows data science e deep learningNVIDIA offers GPUs for laptops RTX 2000, 3000, 3500, 4000 e 5000 Ada Generation.
Those who create 3D content can use the mechanism denoising and the system deep learning super sampling (DLSS) to view photorealistic renderings in real time. Companies can train models that “know” their data and help extract useful information using interfaces similar to chatbotusing LLM (Large Language Models).