GPU Memory and Performance
The NVIDIA RTX A1000 comes equipped with 8GB of GDDR6 memory on a 128-bit memory interface, delivering a memory bandwidth of 192 GB/s. It features 2,304 Ampere-based CUDA® cores, providing high-performance computing for professional applications. The GPU also includes 72 third-generation Tensor Cores and 18 second-generation RT Cores, supporting real-time ray tracing, AI acceleration, and machine learning workloads.

Computational Capabilities
The RTX A1000 offers 6.7 TFLOPS of single-precision performance, 13.2 TFLOPS of RT Core performance, 53.8 TFLOPS of FP16 Tensor performance, and a peak INT8 Tensor performance of 107.8 TOPS. These specifications enable accelerated rendering, simulation, and AI-based workflows for design, visualization, and data science applications.

System Interface and Power Efficiency
This GPU utilizes a PCIe 4.0 x8 interface, ensuring high-speed communication with the host system. The total board power is 50W, making it energy-efficient and suitable for compact workstations without requiring additional power connectors.

Cooling and Form Factor
The RTX A1000 features an active thermal solution to maintain optimal temperatures during sustained workloads. Its single-slot form factor measures 2.7 inches in height and 6.4 inches in length, allowing integration into small form factor systems and professional workstations.

Display Connectivity and Multi-Monitor Support
The card includes four Mini DisplayPort 1.4a connectors and supports up to four simultaneous displays. Maximum supported resolutions include 4096 x 2160 at 120Hz, 5120 x 2880 at 60Hz, and 7680 x 4320 at 30Hz, making it ideal for high-resolution multi-monitor setups, CAD design, and video production environments.

APIs and Software Support
The NVIDIA RTX A1000 supports a wide range of professional graphics and compute APIs, including DirectX 12, Shader Model 6.6, OpenGL 4.66, Vulkan 1.36, and CUDA 11.6, OpenCL 3.0, DirectCompute. This ensures compatibility with a broad spectrum of professional applications for graphics rendering, simulation, and AI workloads.