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The NVIDIA RTX A2000 GPU is NVIDIA’s smallest Ampere-based card that can easily be installed into small form factor workstations. The GPU has the capacity to deliver 8 teraflops of GPU performance, coupled with 3328 CUDA cores. With multi-precision Ampere Tensor Cores, and NVIDIA Ampere CUDA cores, this GPU can process large datasets and create ultra-resolution video and 3D content. There are two options for this card with different memory capacities including 6GB or 12GB of memory.
The RTX A2000 is built on an 8nm process based on the GA106 graphics processor, the same graphics processor that powers the RTX 3050 and RTX 3060. Based on the Ampere architecture, it delivers up to 26 second-generation RT cores, 104 third-generation Tensor cores, and 3328 NVIDIA Ampere CUDA cores, all while supporting up to 6GB or 12GB of GDDR6 memory. Although it’s just 2.7 inches tall and 6.6 inches long, and nearly half the physical size of the GeForce RTX 3090, the GPU is ideal for workstations with multiple monitors featuring 4x Mini DisplayPort 1.4 connectors. It’s capable of supporting up to 4x 4K monitors at 120Hz or 2x 8K monitors at 60Hz. This card is also VR-ready for use with the latest VR headsets.
Powered by the latest Ampere architecture, this GPU deploys 6 or 12GB of GDDR6 memory with ECC, marking the first time ECC memory has been available in this GPU class. To drive graphics and compute-intensive workflows, the card features a 192-bit memory interface, 288GB/s memory bandwidth, and a memory clock of 1500Mhz for ultra-fast performance.
The NVIDIA A2000 card only has one blower due to its compact design, which doesn’t help with workstation thermal concerns but will help prevent components from overheating. As a dual-slot card, the GPU doesn’t require additional power connectors, as it consumes 70 watts of power and operates entirely through the PCI 4.0 x16 interface.
With real-time ray tracing and accelerated AI, the NVIDIA RTX A2000 GPU improves your workflows to generate photorealistic concepts, run AI-augmented applications, and conduct reviews in immersive VR environments. Despite its small size, the GPU offers options with 6GB and 12GB of memory, Ampere Tensor Cores, and CUDA cores, plus it supports multiple monitors to process data for any professional application. This card is designed to address real-time ray tracing, AI-accelerated compute and high-performance graphics applications.
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