PNY NVIDIA Quadro A800 active 40GB

Amplified graphics performance when paired with the power of NVIDIA RTX

To support display functionality and deliver high-performance graphics for visual applications, the computing capabilities of NVIDIA A800 40GB Active are designed to be paired with NVIDIA RTX -accelerated GPUs. NVIDIA RTX 4000 Ada Generation, RTX A4000, and T1000 8GB GPUs are certified to run in tandem with A800 40GB Active, delivering powerful real-time ray tracing and AI-accelerated graphics performance in a single-slot form factor.

Data science and data analytics

Accelerate end-to-end data science and analytics workflows with powerful performance to extract meaningful insights from large-scale datasets quickly. By combining the high-performance computing capabilities of the A800 40GB Active with NVIDIA AI Enterprise, data practitioners can leverage a large collection of libraries, tools, and technologies to accelerate data science workflows – from data prep and training to inference.

Training and development

With 40GB of HBM2 memory and powerful third-generation Tensor Cores that deliver up to 2x the performance of the previous generation, the A800 40GB Active GPU delivers incredible performance to conquer demanding AI development and training workflows on workstation platforms, including data preparation and processing, model optimization and tuning, and early-stage training. The NVIDIA AI Enterprise software platform accelerates and simplifies deploying AI at scale, allowing organizations to develop once and deploy anywhere. Coupling this powerful software platform with the A800 40GB Active GPU enables AI developers to build, iterate, and refine AI models on workstations using included frameworks, simplifying the scaling process and reserving costly data center computing resources for more expensive, large-scale computations.

Inference

Inference is where AI delivers results, providing actionable insights by operationalizing trained models. With 432 third-generation Tensor Cores and 6,912 CUDA Cores, A800 40GB Active delivers 2X the inference operation performance versus the previous generation with support for structural sparsity and a broad range of precisions, including TF32, INT8, and FP64. AI developers can use NVIDIA inference software including NVIDIA Tensor RT and NVIDIA Triton Inference Server that are part of NVIDIA AI Enterprise to simplify and optimize the deployment of AI models at scale.

Generative AI

Using neural networks to identify patterns and structures within existing data, generative AI applications enable users to generate original content from a wide variety of inputs and outputs, including images, sounds, animation, and 3D models. Leverage the NVIDIA generative AI solution, NeMo Framework, included in NVIDIA AI Enterprise along with NVIDIA A800 40GB Active GPU for easy, fast, and customizable generative AI model development.

High-performance computing

The A800 40GB Active GPU delivers incredible performance for GPU-accelerated computer-aided engineering (CAE) applications. Engineering and product development professionals can run large-scale simulations for finite element analysis (FEA), computational fluid dynamics (CFD), construction engineering management (CEM), and other engineering analysis codes in full FP64 precision with incredible speed, shortening development timelines and accelerating time to value. With the addition of RTX-accelerated GPUs providing display capabilities, scientists and engineers can visualize large-scale simulations and models in full design fidelity.

Energy and geosciences

With 9.7 TFLOPS of FP64 compute performance, the A800 40GB Active GPU enables geoscience professionals to power the latest AI-augmented exploration and production software workflows and accelerate simulation processes to gain faster insight into subsurface data. For large-scale datasets, two A800 40GB Active GPUs can be connected with NV Link to provide 80GB of memory and twice the processing power.

Life sciences

With the A800 40GB Active professionals across life science disciplines can accelerate complex data processing tasks, enable faster discovery, and improve decision-making. AI-accelerated life science applications like genomics sequencing, medical imaging, and personalized medicine can benefit from faster training and inference performance to accelerate the analysis of large datasets. For complex simulations and data processing tasks requiring high accuracy, FP64 capabilities allow for scientific applications like molecular dynamics, drug discovery, and genomic analysis to run with higher accuracy and precision, yielding more reliable results.