AI integration across design and productivity applications is becoming the new standard, fueling demand for advanced computing performance. This means professionals and creatives will need to tap into increased compute power, regardless of the scale, complexity or scope of their projects. To meet this growing need, NVIDIA is expanding its RTX professional graphics offerings with two new NVIDIA Ampere architecture-based GPUs for desktops: the NVIDIA RTX A400 and NVIDIA RTX A1000.

They expand access to AI and ray tracing technology, equipping professionals with the tools they need to transform their daily workflows. The RTX A400 GPU introduces accelerated ray tracing and AI to the RTX 400 series GPUs. With 24 Tensor Cores for AI processing, it surpasses traditional CPU-based solutions, enabling professionals to run cutting-edge AI applications, such as intelligent chatbots and copilots, directly on their desktops. The GPU delivers real-time ray tracing, so creators can build vivid, physically accurate 3D renders that push the boundaries of creativity and realism.

NVIDIA has quietly removed some video encoding limitations on its consumer GeForce graphics processing units (GPUs), allowing encoding of up to five simultaneous streams. Previously, NVIDIA's consumer GeForce GPUs were limited to three simultaneous NVENC encodes. The same limitation did not apply to professional GPUs.

According to NVIDIA's own Video Encode and Decode GPU Support Matrix document, the number of concurrent NVENC encodes on consumer GPUs have been increased from three to five. This includes certain GeForce GPUs based on Maxwell 2nd Gen, Pascal, Turing, Ampere, and Ada Lovelace GPU architectures. While the number of concurrent NVDEC decodes were never limited, there is a limitation on how many streams you can encode by certain GPU, depending on the resolution of the stream and the codec.