Small-form-factor computing solutions are becoming more common as professionals look to minimize their desktop workstation footprint—without compromising performance. Today's professional workflows require small-form-factor workstations to provide full-size features and performance in a compact package.
Built on NVIDIA Ampere GPU architecture, the NVIDIA RTX™ A1000 GPU is a powerful, low-profile solution that delivers the performance and capabilities required by demanding professional applications. With 2,304 CUDA® Cores, 18 RT Cores, 72 Tensor Cores, 8GB of GDDR6 memory, and the ability to drive up to four 5K displays, the NVIDIA RTX A1000 is ready to take your work to the next level.
| Part Number | VCNRTXA1000ATX-PB |
| CUDA Cores | 2304 |
| Tensor Cores | 72 |
| RT Cores | 18 |
| Single Precision Performance1 | 6.74 TFLOPS |
| RT Core Performance1 | 13.2 TFLOPS |
| Tensor Performance1 | 53.8 TFLOPS2 |
| GPU Memory | 8 GB GDDR6 |
| Memory Interface | 128-bit |
| Memory Bandwidth | 192 GB/secc |
| System Interface | PCI Express 4.0 x83 |
| Display Connectors | 4x mDisplayPort 1.4a |
| Maximum Power Consumption | 50 W |
|
|
Free dedicated phone and email technical support(1-800-230-0130)
Dedicated NVIDIA professional products Field Application Engineers
NVIDIA RTX™ A1000 is the most powerful, single-slot, low profile, professional solution for CAD, DCC, financial service industry (FSI), and visualization professionals looking to reach excellent performance in a compact and efficient form factor. Building upon the major SM enhancements from the Turing GPU, the NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.
The NVIDIA Ampere architecture-based CUDA® cores bring up to 2.7X the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics and rendering workflows such as 2D graphics, 3D model development, basic photo and video editing and compute for workloads such as data analysis and general productivity. RTX A1000 enables two FP32 primary data paths, doubling the peak FP32 operations.
With 2nd generation ray tracing engines, RTX A1000 GPUs deliver incredible ray traced rendering. For the first time, NVIDIA® introduces RT Cores into a low-profile, single-slot GPUs. RTX A1000 renders complex models with accurate shadows, reflections, and refractions. Working with APIs like NVIDIA OptiX, Microsoft DXR, and Vulkan ray tracing, RTX A1000-based systems power interactive design workflows to boost productivity. The RTX A1000 is up to 3X faster in rendering performance compared to the previous generation and speeds up ray-traced motion blur for faster, more accurate results.
Purpose-built for modern workflows, RTX A1000 includes enhanced Tensor Cores as part of the Ampere GPU architecture that accelerates more datatypes and delivers up to 3X the generative AI performance compared to the previous generation. 3rd-gen Tensor Cores will accelerate the TF32 and BFloat16 precision modes. Independent floating-point and integer data paths allow more efficient execution of workloads using a mix of computation and addressing calculations.
RTX A1000 supports PCI Express Gen 4, which provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data analysis.
Equipped with 8GB GDDR6 memory and a faster memory clock, the RTX A1000 provides an ideal memory footprint to address datasets and models in latency-sensitive professional applications and at volume.
NVDEC is well suited for transcoding and video playback applications for real-time decoding. The following video codecs are supported for hardware-accelerated decoding: MPEG-2, VC-1, H.264 (AVCHD), H.265 (HEVC), VP8, VP9, and AV1.
NVENC can take on 4K or 8K video encoding tasks to free up the graphics engine and the CPU for other operations. The RTX A1000 provides bettering encoding quality than software-based x264 encoders.
Pixel-level preemption provides more granular control to better support time-sensitive tasks such as VR motion tracking.
Preemption at the instruction level provides finer-grain control over compute tasks to prevent long-running applications from either monopolizing system resources or timing out.
Accelerate GPU-based lossless decompression performance by up to 100x and 20x lower CPU utilization compared to traditional storage APIs using Microsoft's DirectStorage for Windows API. RTX IO moves data from the storage to the GPU in a more efficient, compressed form, improving I/O performance.
Transparently scale the desktop and applications across up to 4 GPUs and 16 displays from a single workstation while delivering full performance and image quality.
Get more Mosaic topology choices with high-resolution display devices with a 32K max desktop size.
Support up to four 5K monitors at 60Hz, or dual 8K displays at 30Hz per card. The RTX A1000 supports HDR color for 4K at 60Hz for 10/12b HEVC decode and up to 4K at 60Hz for 10b HEVC encode. Each DisplayPort connector can drive ultra-high resolutions of 4096 x 2160 at 120 Hz with 30-bit color.
Gain unprecedented end-user control of the desktop experience for increased productivity in single-large display or multi-display environments, especially in the current age of large, widescreen displays.
NVIDIA RTX Experience delivers a suite of productivity tools to your desktop workstation, including desktop recording in up to 8K, automatic alerts for the latest NVIDIA RTX Enterprise driver updates, and access to gaming features. The application is available for download here.
Deep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU-accelerated libraries such as cuDNN, cuBLAS, and TensorRT deliver higher performance for both deep learning inference and high-performance computing (HPC) applications.
Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC, and Direct Compute to accelerate techniques such as ray tracing, video and image processing, and computation fluid dynamics.
A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.
Maximize system uptime, seamlessly manage wide-scale deployments, and remotely control graphics and display settings for efficient operations.
| Product | NVIDIA RTX™ A1000 |
| Architecture | NVIDIA Ampere Architecture |
| Process Size | 8N | NVIDIA Custom Process |
| Transistors | 8.7 Billion |
| Die Size | 200 mm2 |
| CUDA® Cores | 2307 |
| Tensor Cores | 72 |
| RT Cores | 18 |
| Single Precision Performance1 | 6.74 TFLOPS |
| RT Core Performance1 | 13.2 TFLOPS |
| Tensor Performance1 | 53.8 TFLOPS2 |
| GPU Memory | 8 GB GDDR6 |
| Memory Interface | 128-bit |
| Memory Bandwidth | 192 GB/sec |
| Display Connectors | 4x mDisplayPort 1.4a |
| NVENC | NVDEC | 1x | 2x (+ AV1 decode) |
| System Interface | PCI Express 4.0 x83 |
| NVLink | Not Supported |
| Form Factor | 2.7" H x 6.4" L Single Slot |
| Thermal Solution | Active Fan |
| Maximum Power Consumption | 50 W |
|
|
Whether you have questions about our products, need assistance with your account, or require technical support, our comprehensive resources and dedicated support team are here to provide the assistance you need
Find the perfect setup to accelerate innovation in AI and computing.
Our agents and experts are always looking forward to assist you. If you wish to communicate something or facing any issue, please call on our helpline number.
.png)
