900-2G133-0100-030 Nvidia A40 48GB GDDR6 300W Passive GPU

Nvidia 900-2G133-0100-030 A40 48GB GDDR6 Ampere 300W Passive Graphics Card Overview

The Nvidia 900-2G133-0100-030 A40 48GB GDDR6 Ampere 300W Passive Graphics Card is a high-performance GPU engineered for enterprise data centers, AI inference, deep learning, HPC simulations, and professional visualization workloads. Part of Nvidia’s Ampere architecture-based lineup, the A40 is optimized to deliver maximum throughput, scalability, and energy efficiency in passive cooling configurations, making it ideal for dense server deployments. Its massive 48GB GDDR6 memory and 384-bit memory interface provide ample capacity for large-scale neural networks, complex simulations, and high-resolution rendering tasks. Designed for PCIe 4.0 x16 connectivity, the A40 ensures ultra-fast communication with system CPUs and memory, reducing latency and bottlenecks in compute-intensive workflows.

Ampere Architecture for Next-Level Performance

The Nvidia A40 GPU leverages the Ampere architecture to deliver industry-leading performance for AI, HPC, and visualization applications. This architecture introduces enhanced CUDA cores, third-generation Tensor cores, and second-generation RT cores, providing a substantial boost in compute efficiency, AI inferencing, and real-time rendering capabilities.

CUDA Cores for Parallel Processing

The A40 features thousands of CUDA cores optimized for high-throughput parallel computing, enabling rapid execution of floating-point and integer operations simultaneously. This design accelerates scientific computations, machine learning model training, and rendering processes, allowing data centers and research facilities to execute complex workloads with exceptional speed.

RT Cores for Real-Time Ray Tracing

The second-generation RT cores in the A40 enable real-time ray-traced rendering, providing highly realistic lighting, shadows, and reflections for professional visualization. This feature enhances workflows in design, media production, and scientific simulation, delivering photorealistic imagery with minimal rendering time.

48GB GDDR6 Memory for Large-Scale Workloads

Equipped with 48GB of high-speed GDDR6 memory, the A40 handles large datasets and complex models without compromising performance. Its memory capacity allows simultaneous processing of multiple AI models, 3D rendering scenes, and scientific simulations, ensuring smooth operation in enterprise and research environments.

384-Bit Memory Interface and Bandwidth

The 384-bit memory interface provides substantial bandwidth, ensuring fast and efficient communication between GPU cores and memory. This high bandwidth supports large-scale deep learning models, multi-GPU simulation workflows, and high-resolution rendering projects, maintaining consistent throughput for demanding applications.

Advanced GDDR6 Speed and Reliability

The GDDR6 memory used in the A40 operates at high frequencies, delivering superior data transfer rates while maintaining thermal and operational stability. Error-correcting code (ECC) memory ensures data integrity, which is critical for scientific, engineering, and AI workloads requiring precise calculations.

PCIe 4.0 x16 Interface for High-Speed Connectivity

The Nvidia A40 leverages PCIe 4.0 x16 connectivity to provide high-speed data transfer between the GPU and CPU, doubling the bandwidth of PCIe 3.0. This feature minimizes latency and enhances performance for AI training, HPC simulations, and real-time rendering tasks, ensuring smooth execution of data-intensive workloads.

Integration with Modern Enterprise Systems

The A40’s PCIe 4.0 interface allows seamless integration with contemporary server platforms from vendors such as Dell, HPE, Lenovo, and Supermicro. It supports high-speed NVMe storage, multi-core CPUs, and virtualized environments, providing scalable performance for demanding enterprise applications.

Backward for Legacy Infrastructure

Despite utilizing PCIe 4.0, the A40 remains compatible with PCIe 3.0 systems, allowing deployment in existing infrastructure without extensive hardware upgrades. This backward compatibility provides flexibility and cost savings while still offering substantial performance improvements.

Multi-GPU Deployment

The PCIe 4.0 interface enables efficient communication in multi-GPU configurations, allowing clusters of A40 GPUs to scale AI and HPC workloads horizontally. This scalability ensures that enterprise and research institutions can manage large-scale compute tasks efficiently.

High-Performance Neural Network Training

The A40 is optimized for training large-scale neural networks, offering sufficient memory to handle high batch sizes and complex model architectures. Its combination of Tensor cores and CUDA cores allows rapid forward and backward propagation, reducing overall training time and improving model accuracy.

Professional Rendering Capabilities

The A40 is not only a compute powerhouse but also a professional visualization GPU. Its architecture supports advanced graphics APIs, ray tracing, and multi-display rendering, making it ideal for 3D modeling, CAD, and media production applications.

Real-Time Ray-Traced Rendering

Equipped with dedicated RT cores, the A40 allows designers and engineers to perform real-time ray-traced rendering, producing photorealistic visuals with accurate lighting, shadows, and reflections. This capability significantly enhances creative workflows, simulations, and architectural visualizations.

Professional Software Certification

The Nvidia A40 is certified for major professional software, including Autodesk Maya, SOLIDWORKS, Blender, Adobe Premiere Pro, and Unreal Engine. This certification ensures stable, reliable performance and compatibility across mission-critical design and content creation workflows.

High-Resolution Multi-Monitor Setups

The GPU can drive multiple displays at high resolutions, including 4K and 8K, enabling efficient multitasking for professional workflows. Users can simultaneously render, analyze, and visualize complex projects without compromising performance.

Passive Cooling for Data Center Deployment

The A40 features a passive cooling design optimized for high-density server deployments. This approach leverages system airflow to dissipate heat, reducing the need for additional fans and improving reliability in 24/7 operational environments.

High-Density Multi-GPU

The passive cooling and dual-slot form factor allow multiple A40 GPUs to be installed in a single server, providing scalable compute resources for AI, HPC, and rendering workloads without exceeding thermal or power limits.

Cloud-Ready Capabilities

The Nvidia A40 supports advanced virtualization technologies, enabling efficient GPU sharing across multiple virtual machines and cloud environments. It is ideal for virtual desktop infrastructure (VDI), AI inferencing, and HPC clusters in enterprise and cloud data centers.

Nvidia Virtual GPU (vGPU)

Through Nvidia vGPU technology, the A40 allows multiple users to share GPU resources securely and efficiently. Each virtual instance can be allocated dedicated compute resources, ensuring predictable performance and resource isolation.

Cloud Deployment Compatibility

The A40 integrates seamlessly with modern cloud and hybrid data center infrastructures. It supports containerized AI workloads using Docker and Kubernetes, enabling flexible and scalable deployment for AI, simulation, and visualization applications.

Secure Multi-Tenant GPU Operations

Advanced virtualization features provide secure isolation between tenants, ensuring data integrity and privacy in multi-user environments. This is crucial for enterprise and cloud service providers hosting sensitive workloads.

Reliability and Enterprise-Grade

The Nvidia A40 is designed for reliability, availability, and serviceability (RAS), ensuring continuous operation in mission-critical environments. Its robust architecture and security features protect both data and GPU functionality in demanding workloads.

Firmware and Boot

Secure boot and firmware validation mechanisms protect the GPU from unauthorized firmware modifications, maintaining system integrity and enterprise-level compliance.

Software Ecosystem and Developer Tools

The Nvidia A40 supports a comprehensive software ecosystem for AI, HPC, and visualization developers. It is compatible with CUDA, OpenCL, and multiple AI frameworks, offering accelerated performance and development flexibility.

CUDA and OpenCL Parallel Computing

The CUDA platform enables developers to leverage the A40’s GPU cores for parallel computation, accelerating applications from scientific research to AI model training. OpenCL compatibility ensures cross-platform development support for diverse workflows.

Enterprise-Grade Drivers

Nvidia provides certified drivers for the A40, guaranteeing stable and reliable operation across professional software applications. These drivers are rigorously tested to meet enterprise standards for mission-critical environments.

Scalability for Multi-GPU and HPC Workloads

The A40 supports scalable multi-GPU configurations, allowing organizations to build powerful clusters for deep learning, HPC simulations, and data analytics. Its architecture ensures linear performance scaling across multiple GPUs.

Parallel Workload Distribution

Multiple A40 GPUs can work in tandem to process large datasets, train complex AI models, and perform high-resolution simulations. The GPU architecture allows efficient workload distribution, maximizing resource utilization.

Cluster Integration and High-Performance Computing

The A40 integrates seamlessly into HPC clusters and enterprise data centers, supporting distributed computing frameworks such as MPI, CUDA-aware MPI, and containerized HPC environments. This ensures high throughput and reliable performance for computationally intensive workloads.

Flexible Server and Rack Deployment

The dual-slot, passive design of the A40 allows deployment in rack-mounted servers, blade servers, and cloud nodes, offering flexibility and scalability for modern enterprise environments.

Performance per Watt

The GPU achieves an impressive performance-per-watt ratio, balancing high computational output with energy efficiency. This is particularly important for data centers aiming to minimize power consumption while maintaining high performance.

Alignment with Enterprise Sustainability Goals

By combining efficiency, reliability, and scalable performance, the Nvidia A40 contributes to enterprise sustainability initiatives, providing long-term computational capabilities without excessive energy consumption.

High-Performance Computing and Simulations

For HPC environments, the A40 offers reliable performance for simulations in physics, engineering, climate modeling, and bioinformatics, providing accurate results at high computational speed.

Professional Workflows

Creative professionals benefit from high-quality rendering, 3D modeling, and real-time visualization, powered by the A40’s CUDA, RT, and Tensor cores. Multi-monitor support and high-resolution output enhance productivity in professional design workflows.