Nvidia launches RTX A400 and A1000 GPUs focused on productivity and AI

Expanding its range of graphics cards for professional use, Nvidia announced that it will launch two new models: RTX A400 and RTX A1000. The first one will be available from May, While the second option already exists through partners in the international market.

Both RTX A400 and RTX A1000 These are templates designed for desktop use. Besides, both are based on the Ampere architecture, It was used in a series of gaming GPUs released in 2020.

Focus on artificial intelligence

One of the highlights of the two graphics card models It is included in the application that focuses on the use of artificial intelligence. They also have cutting-edge graphics computing resources that include 2nd generation cores and 3rd generation Tensor to aid creative processes and work involving ray tracing rendering.

RTX A400 appears as the most affordable option of the duo. It has 4GB VRAM and 24 Tensor cores Providing the necessary resources to perform tasks that include rendering, text, video editing, and a few more options for AI processing on the GPU.

The A400 also includes four display outputs for external displays. This makes it ideal for high-density display environments required for industries such as financial services, command and control, retail and transportation.

RTX A1000 is a model with more features, Includes 8 GB VRAM and 72 Tensor cores. In this way, it has the capacity to deliver up to three times more performance in actions involving productive artificial intelligence, such as Stable Deployment. It also has 18 cores dedicated to ray tracing.

The A1000 also excels at video processing. Process up to 38% more encoding streams and offers 2x faster decoding performance than the previous generation.

Finally, Nvidia reinforces that both the RTX A400 and RTX A1000 are budget models. They work with only 50 W power, making them less consuming options than the RTX 2000 Ada Lovelace, which consumes 70 W.