New video cards will help you create without looking up from your smartphone.
Nvidia lifts the curtain on a new generation of mobile graphics cards — RTX 500 and 1000 based on the Ada Lovelace architecture. According to the company, these powerful graphics processors (GPUs) are designed to dramatically speed up the work of artificial intelligence and provide fantastic graphics performance in portable devices.
The announcement took place before the Mobile World Congress event in Barcelona. As generative AI and hybrid infrastructure become an integral part of various industries, the demand for powerful mobile solutions has grown dramatically. The RTX 500 and 1000 graphics cards are designed to meet this demand.
The new GPUs will be introduced in upcoming mobile workstations, expanding NVIDIA's product line based on the Ada Lovelace architecture. Previously, the Ada Lovelace mobile GPUs of the RTX 2000, 3000, 3500, 4000 and 5000 series were announced.
AI is increasingly integrated into professional workflows, transforming design, content creation, and overall productivity. The next generation of mobile workstations with the Ada Lovelace GPU will include a neural processing unit (NPU) as part of the Central processing unit (CPU), along with an Nvidia RTX graphics card equipped with tensor cores for advanced AI processing.
This combination will provide users with up to 682 tera operations per second.
The acceleration achieved with new graphics cards is critical for solving a variety of tasks. It will allow you to conduct video conferences with high-quality effects, broadcast videos with scaling using AI, and also speed up the work of applications for generating content.
The RTX 500 video card can provide up to 14 times the performance of generative AI for models like Stable Diffusion, up to 3 times faster photo editing using neural networks, and increase the speed of 3D rendering by more than 10 times compared to a CPU-only configuration.
These GPUs are also expected to reduce noise, helping designers scale blurry images and enabling better video chat and broadcasts.
For advanced rendering and training of neural networks, Nvidia offers a full line, including mobile GPUs Ada Lovelace series RTX 2000, 3000, 3500, 4000 and 5000. They are focused on the needs of 3D graphics creators, AI noise reduction businesses, and data analysis researchers.
The Ada Lovelace architecture also allowed us to add several important technologies to thin and compact laptops. In particular, these are third-generation cores for ray tracing, fourth-generation cores for tensor computing, and new high-performance CUDA cores.
In addition, the video cards received high-speed memory, DLSS 3 image scaling technology and a modern AV1 codec.
Nvidia's new RTX 500 and 1000 series mobile graphics cards based on the Ada Lovelace architecture are scheduled for release this spring. They will be available in mobile workstations from global vendors, including Dell Technologies, HP, Lenovo, and MSI.
Nvidia lifts the curtain on a new generation of mobile graphics cards — RTX 500 and 1000 based on the Ada Lovelace architecture. According to the company, these powerful graphics processors (GPUs) are designed to dramatically speed up the work of artificial intelligence and provide fantastic graphics performance in portable devices.
The announcement took place before the Mobile World Congress event in Barcelona. As generative AI and hybrid infrastructure become an integral part of various industries, the demand for powerful mobile solutions has grown dramatically. The RTX 500 and 1000 graphics cards are designed to meet this demand.
The new GPUs will be introduced in upcoming mobile workstations, expanding NVIDIA's product line based on the Ada Lovelace architecture. Previously, the Ada Lovelace mobile GPUs of the RTX 2000, 3000, 3500, 4000 and 5000 series were announced.
AI is increasingly integrated into professional workflows, transforming design, content creation, and overall productivity. The next generation of mobile workstations with the Ada Lovelace GPU will include a neural processing unit (NPU) as part of the Central processing unit (CPU), along with an Nvidia RTX graphics card equipped with tensor cores for advanced AI processing.
This combination will provide users with up to 682 tera operations per second.
The acceleration achieved with new graphics cards is critical for solving a variety of tasks. It will allow you to conduct video conferences with high-quality effects, broadcast videos with scaling using AI, and also speed up the work of applications for generating content.
The RTX 500 video card can provide up to 14 times the performance of generative AI for models like Stable Diffusion, up to 3 times faster photo editing using neural networks, and increase the speed of 3D rendering by more than 10 times compared to a CPU-only configuration.
These GPUs are also expected to reduce noise, helping designers scale blurry images and enabling better video chat and broadcasts.
For advanced rendering and training of neural networks, Nvidia offers a full line, including mobile GPUs Ada Lovelace series RTX 2000, 3000, 3500, 4000 and 5000. They are focused on the needs of 3D graphics creators, AI noise reduction businesses, and data analysis researchers.
The Ada Lovelace architecture also allowed us to add several important technologies to thin and compact laptops. In particular, these are third-generation cores for ray tracing, fourth-generation cores for tensor computing, and new high-performance CUDA cores.
In addition, the video cards received high-speed memory, DLSS 3 image scaling technology and a modern AV1 codec.
Nvidia's new RTX 500 and 1000 series mobile graphics cards based on the Ada Lovelace architecture are scheduled for release this spring. They will be available in mobile workstations from global vendors, including Dell Technologies, HP, Lenovo, and MSI.
