Nvidia has announced the new RTX A400 and A1000 GPUs for entry-level workstations and personal computers. These new Nvidia Ampere architecture GPUs help meet the demand for advanced computer and AI workflows across markets while also delivering access to ray-tracing technology from Nvidia to lower-end computers.
New GPUs
The new RTX A400 GPU is a single-slot card that delivers 24 Tensor Cores for AI processing, helping professionals work faster with cutting-edge AI technology such as AI chatbots and copilots. For visualization professionals, the GPUs feature second-generation RT (ray tracing) cores for photorealistic, physically-based rendering and visualization workflows in AEC and design-manufacturing industries.
The RTX A400 GPU features 4GB of GPU memory, third-generation Tensor Cores, and seventh-generation encode (NVENC) and fifth-generation decode (NVDEC) engines for video processing workflows.
The new NVIDIA RTX A1000 GPU shown here, with 8 GB of memory.
The A1000 GPU features 8 GB of GPU memory and everything in the RTX A400. Both GPUs are designed to expand the reach of RTX technology. To learn more, visit here and here.
Architosh Analysis and Commentary
We wonder who these GPUs are actually for in the markets we cover here at Architosh. At just 4 GB of video memory, we wonder if the RTX A400 is a sound investment.
MORE: Product Review: NVIDIA RTX A2000 GPU for Workstations
AEC professionals looking for AI, GPU compute, and advanced rendering workflow assistance should consider the Ampere Architecture generation RTX A2000 RTX as a baseline GPU, but perhaps the 8 GB A1000 is the new baseline.
