699-2G133-0200-C00 Nvidia 48GB Ampere A40 GDDR6 PCIE Graphic Card

Nvidia 48GB Ampere A40 GDDR6 PCIE GPU Card Overview

The Nvidia 699-2G133-0200-C00 48GB Ampere A40 GDDR6 w/ECC Dual Slot PCIe 4.0 Graphic Card is a high-performance professional GPU engineered to deliver exceptional computational and graphical capabilities across enterprise, data center, and professional visualization workloads. Built on the robust Nvidia Ampere architecture, this graphics solution merges powerful CUDA cores, enhanced Tensor cores, and RT cores to accelerate parallel computing, deep learning, rendering, and simulation tasks with remarkable efficiency. With 48GB of high-bandwidth GDDR6 memory featuring ECC support, the A40 ensures data integrity and stability in mission-critical environments while enabling the processing of large, complex datasets and ultra-high-resolution models with ease.

Designed for professional workstations, high-performance computing clusters, and enterprise-grade servers, the A40 provides outstanding scalability and flexibility. Its dual-slot form factor and PCI Express 4.0 interface ensure optimal compatibility with a wide range of systems, while advanced thermal and power management features allow for sustained peak performance under demanding workloads. The A40’s versatility extends across various applications, from scientific research and AI model training to photorealistic rendering, CAD/CAM workflows, virtual desktop infrastructure (VDI), and real-time analytics.

Advanced Ampere Architecture

The Nvidia A40 is built upon the groundbreaking Ampere architecture, which introduces a new level of performance and efficiency for professional GPU computing. Ampere represents a significant leap forward from the previous Turing generation, offering improved parallel processing capabilities, enhanced AI acceleration, and more efficient ray tracing. The A40 leverages second-generation RT cores for real-time ray tracing and third-generation Tensor cores to accelerate AI and deep learning computations, while a high number of CUDA cores deliver exceptional floating-point and integer throughput for scientific and engineering workloads.

The Ampere architecture enables the A40 to deliver remarkable performance per watt, ensuring that energy efficiency is maintained even under heavy workloads. Its optimized design reduces latency, improves memory bandwidth utilization, and accelerates compute-intensive tasks across diverse applications. By combining massive parallelism with improved memory access patterns and scheduling, the A40 achieves superior performance across rendering, simulation, and AI inference workflows, making it ideal for data centers and enterprise computing environments.

Enhanced CUDA Cores for High-Throughput Processing

At the heart of the A40 lies a large array of CUDA cores, designed to deliver high-throughput performance for a wide range of computational tasks. These cores excel in parallel processing, enabling accelerated simulations, physics calculations, and data processing workloads. Applications such as fluid dynamics, finite element analysis, molecular modeling, and large-scale data analytics benefit significantly from the CUDA core enhancements, as they enable faster execution of complex mathematical operations and reduce overall processing time.

The optimized CUDA cores in the A40 also improve graphics rendering performance, supporting faster rasterization, shading, and post-processing. Whether generating photorealistic visualizations, complex 3D models, or large-scale digital twins, the A40 delivers consistently high frame rates and visual fidelity. The increased core density and architectural optimizations of Ampere ensure that professionals in design, engineering, and scientific domains can rely on the A40 for precision, speed, and reliability.

Second-Generation RT Cores for Real-Time Ray Tracing

The A40 integrates second-generation RT cores, delivering substantial improvements in real-time ray tracing performance over previous generations. These specialized cores accelerate the calculation of light interactions within 3D environments, enabling photorealistic rendering with accurate reflections, shadows, and global illumination. Professionals working in fields such as architectural visualization, product design, and cinematic content creation can achieve unparalleled realism and detail, significantly reducing rendering times while maintaining visual fidelity.

The power of real-time ray tracing extends beyond visual effects, as it can also enhance scientific simulations and virtual prototyping workflows. Accurate lighting and material interaction simulations can aid in product development, material science, and medical imaging, enabling engineers and researchers to gain deeper insights into complex phenomena. The A40’s RT cores ensure that such workloads are executed with precision and speed, empowering professionals to push the boundaries of visualization and simulation.

Third-Generation Tensor Cores for AI and Deep Learning

The third-generation Tensor cores in the Nvidia A40 provide a massive boost to AI, machine learning, and deep learning workloads. These cores are optimized for matrix multiplication and tensor operations, which are fundamental to neural network training and inference. They deliver significant performance gains for tasks such as natural language processing, image recognition, recommendation systems, and predictive analytics, enabling faster model development and deployment.

Tensor cores also accelerate mixed-precision computing, combining FP16, BF16, and TensorFloat-32 (TF32) formats to maximize throughput without compromising accuracy. This flexibility allows developers and researchers to choose the precision best suited for their specific workloads, optimizing both performance and resource utilization. Whether training large-scale deep learning models or deploying inference pipelines in real time, the A40’s Tensor cores provide the computational power required to drive innovation in AI and data science.

Memory Capacity and Bandwidth for Complex Workloads

One of the defining features of the Nvidia 699-2G133-0200-C00 A40 is its 48GB of GDDR6 memory with Error-Correcting Code (ECC) support. This large memory capacity enables the GPU to handle massive datasets, complex simulations, and ultra-high-resolution visualizations without bottlenecks. It is particularly valuable in fields such as data science, computational fluid dynamics, medical imaging, and large-scale rendering, where memory capacity often limits performance.

ECC memory further enhances reliability by automatically detecting and correcting single-bit memory errors, reducing the risk of data corruption during long and intensive computational tasks. This feature is essential for mission-critical applications where accuracy and data integrity are paramount, such as scientific research, financial modeling, and AI training.

High-Bandwidth GDDR6 with ECC

The A40’s GDDR6 memory offers high bandwidth and low latency, ensuring that data is delivered to the GPU cores as quickly as possible. This improved memory subsystem significantly accelerates memory-intensive workloads, including large-scale simulations, deep learning model training, and real-time analytics. Applications that require frequent access to large datasets benefit from reduced latency and improved throughput, resulting in faster time-to-solution and more efficient resource utilization.

ECC support adds a layer of protection that is essential for professional and enterprise environments. By minimizing memory errors and maintaining data consistency, ECC ensures that the results of long-running computations are reliable and accurate. This reliability is particularly critical in scientific and financial computing, where even minor errors can have significant consequences.

PCIe 4.0 Interface and Dual Slot Form Factor

The Nvidia A40 leverages the PCI Express 4.0 interface, offering twice the bandwidth of PCIe 3.0. This increased bandwidth enables faster communication between the GPU and the host system, reducing data transfer bottlenecks and improving overall system responsiveness. Workloads involving large datasets, real-time data streaming, or high-frequency I/O operations benefit from the enhanced throughput and reduced latency provided by PCIe 4.0.

The dual-slot form factor of the A40 ensures compatibility with a wide range of professional workstations, servers, and data center configurations. Its design balances performance and thermal efficiency, allowing for sustained operation under heavy workloads. Whether deployed in a single-GPU workstation or a multi-GPU server cluster, the A40 integrates seamlessly into existing infrastructure, delivering scalable performance for diverse professional workflows.

Scalability and Multi-GPU Support

The A40 supports multi-GPU configurations, enabling users to scale performance according to their workload requirements. By deploying multiple A40 GPUs within a single system, organizations can accelerate parallel workloads such as deep learning training, simulation, and rendering. This scalability is essential for data centers and research institutions that require massive computational resources for large-scale projects.

Multi-GPU configurations also enable more efficient resource sharing in virtualized environments. With Nvidia virtual GPU (vGPU) technology, multiple users can access GPU-accelerated resources simultaneously, improving utilization and reducing costs. This capability is particularly beneficial for virtual desktop infrastructure (VDI) deployments, cloud computing platforms, and collaborative design environments.