900-2G133-0020-100 Nvidia 24GB GDDR6 384-Bit GPU

Nvidia 900-2G133-0020-100 24GB GDDR6 384-Bit A10 PCI-Express 4.0 x16 Graphics Card Overview

The Nvidia 900-2G133-0020-100 24GB GDDR6 384-Bit A10 PCI-Express 4.0 x16 Graphics Card is designed for professional visualization, high-performance computing, AI inferencing, and demanding graphical workloads. Part of Nvidia’s data center and workstation GPU lineup, the A10 delivers exceptional efficiency, performance, and scalability for enterprises, researchers, and content creators seeking a balance between compute power and power efficiency. With its large 24GB of GDDR6 memory, 384-bit memory interface, and PCIe 4.0 connectivity, this GPU is engineered to accelerate data-intensive tasks, support multiple high-resolution displays, and handle modern AI frameworks with ease. Built using Nvidia’s advanced Ampere architecture, the A10 GPU brings the latest innovations in GPU acceleration to professional environments.

Advanced Ampere Architecture for Next-Generation Performance

The Nvidia A10 graphics card is powered by the cutting-edge Ampere architecture, designed to enhance performance across a wide range of professional and AI workloads. Featuring CUDA cores, Tensor cores, and RT cores, the A10 delivers faster rendering, improved AI model inference, and accelerated compute capabilities.

Enhanced CUDA Core Performance

The A10 features thousands of CUDA cores optimized for parallel computing, providing unmatched performance in graphics rendering and general-purpose GPU computing. These cores are designed to handle simultaneous data operations efficiently, enabling rapid computation of complex tasks such as simulations, deep learning training, and 3D rendering.

Tensor Cores for AI Acceleration

Nvidia’s third-generation Tensor cores in the A10 deliver massive acceleration for AI and deep learning workloads. These specialized cores optimize matrix math operations, improving throughput for inferencing, machine learning model training, and scientific computing. The GPU supports mixed-precision computing, ensuring a balance between speed and accuracy for AI-driven applications.

Second-Generation RT Cores for Ray Tracing

The A10 integrates second-generation Ray Tracing (RT) cores that deliver real-time ray-traced rendering, enabling physically accurate lighting, shadows, and reflections in professional visualization workflows. This enhances design realism in architecture, engineering, visual effects, and 3D animation environments, providing cinematic-quality imagery and detailed graphical fidelity.

Massive 24GB GDDR6 Memory Capacity

The Nvidia 900-2G133-0020-100 A10 GPU is equipped with 24GB of GDDR6 memory, ensuring sufficient capacity for large datasets, complex models, and high-resolution textures. This extensive memory configuration is ideal for workloads requiring large memory buffers such as deep learning, scientific visualization, and 3D rendering.

384-Bit Memory Interface and High Bandwidth

With a 384-bit wide memory interface, the A10 delivers exceptional bandwidth for fast data transfer between GPU cores and memory. This helps maintain steady throughput in demanding workloads such as rendering high-polygon scenes, running advanced AI models, or processing large-scale datasets.

High-Speed GDDR6 Memory Technology

The GDDR6 memory used in the A10 offers significant speed improvements over previous generations. Its advanced architecture allows higher data rates and lower latency, improving overall efficiency in compute-intensive tasks and maintaining consistent performance during prolonged operation.

PCI-Express 4.0 x16 Interface for Maximum Throughput

The Nvidia A10 utilizes the PCIe 4.0 x16 interface, doubling bandwidth compared to PCIe 3.0. This allows faster communication between the GPU and CPU, minimizing latency and maximizing data throughput for intensive computational tasks. PCIe 4.0 ensures compatibility with modern workstation and server platforms, providing a future-proof connectivity standard for evolving workloads.

Seamless Integration in Professional Systems

The A10’s PCIe 4.0 interface ensures optimal integration with enterprise-grade motherboards and systems supporting next-generation hardware. It allows users to fully leverage the performance of NVMe SSDs, high-core-count CPUs, and other high-speed peripherals within the same data pipeline.

Backward Broader Deployment

Despite its advanced PCIe 4.0 design, the A10 remains backward compatible with PCIe 3.0 systems, allowing deployment in existing infrastructure without hardware replacement. This makes it a versatile option for upgrading older servers or workstations while maintaining excellent performance gains.

Delivery Through PCIe and 8-Pin Connector

The graphics card draws power from the PCIe slot and a single 8-pin auxiliary connector, providing stable power delivery even during heavy compute loads. This ensures reliable operation in data center environments, reducing the risk of performance throttling under continuous workload conditions.

Accelerated Data Science Workflows

For data analytics, the A10 enables faster processing of structured and unstructured data. It accelerates key workflows such as ETL (Extract, Transform, Load), real-time analytics, and model training, helping organizations extract insights faster and enhance operational intelligence.

Rendering Capabilities

The Nvidia A10 GPU is tailored for 3D designers, CAD professionals, and visualization specialists who require high-quality rendering and simulation capabilities. With support for advanced graphics APIs and real-time ray tracing, the card delivers precise visualization performance across engineering, architecture, and media production applications.

High-Fidelity Real-Time Rendering

The A10 supports real-time rendering of complex scenes using its advanced RT cores. Applications such as Autodesk Maya, Blender, and Unreal Engine can harness the GPU’s power to produce cinematic-quality visuals with physically accurate lighting and reflections.

Multiple Professional Applications

The GPU is certified for a wide range of professional software, including Autodesk AutoCAD, Dassault Systèmes SOLIDWORKS, Siemens NX, and Adobe Premiere Pro. This certification ensures stable, optimized performance and compatibility for critical design and production tasks.

Multi-Monitor and High-Resolution Display

The A10 can drive multiple high-resolution displays simultaneously, supporting up to 8K output in compatible systems. This feature enhances productivity for users managing complex visual datasets or editing ultra-high-definition video content.

Data Center Deployment

One of the key strengths of the Nvidia A10 GPU lies in its virtualization capabilities. It supports Nvidia GRID and vGPU technologies, enabling multiple virtual desktops and workstations to share the same physical GPU resources without compromising performance.

Virtual GPU (vGPU) for Enterprise Workloads

The A10 allows system administrators to allocate virtual GPU profiles across users and workloads, supporting scalable deployment in cloud and virtual desktop infrastructure (VDI) environments. This makes it ideal for organizations providing remote 3D design, AI inferencing, or data analysis capabilities to distributed teams.

Secure Multi-Tenant

The GPU supports isolation between virtual machines to maintain data security in multi-tenant environments. Each user receives dedicated GPU resources, ensuring predictable performance and compliance with enterprise-level security standards.

Cloud and Virtual Workstations

The A10 is an ideal choice for cloud service providers offering GPU-accelerated virtual desktops. Its power efficiency and scalability make it suitable for high-density server configurations, allowing multiple virtual users to share a single GPU without performance compromise.

Advanced Thermal Control Design

The A10 is equipped with a robust cooling system that maintains safe operating temperatures during extended workloads. Its thermal management design ensures consistent performance without throttling, even during long-duration AI training or rendering tasks.

Reduced Noise and Heat Generation

The efficient cooling architecture reduces overall system noise and thermal output, making it suitable for both high-density server environments and quiet professional workstations.

Nvidia CUDA, OpenCL, and DirectCompute

The GPU fully supports CUDA, OpenCL, and DirectCompute APIs, providing developers with flexibility to build GPU-accelerated applications across multiple programming environments. This makes the A10 suitable for scientific research, simulation, and machine learning development.

Enterprise-Grade Drivers and Updates

Nvidia offers long-term driver support with regular updates, ensuring the A10 remains compatible with new operating systems and professional software. Certified drivers deliver optimal performance and security for mission-critical workloads.

Reliability for Enterprise Environments

The A10 GPU integrates robust security features to safeguard workloads and maintain reliability in data-sensitive applications. Its architecture supports secure boot, firmware integrity verification, and isolated resource management to prevent unauthorized access and tampering.

Secure Boot and Firmware Protection

Built-in secure boot capabilities ensure that only verified firmware and drivers are loaded during initialization. This protects the GPU from potential security breaches and ensures integrity across all compute sessions.

Enterprise Reliability and Continuous Uptime

The A10 is built for continuous operation in enterprise environments, offering the reliability necessary for 24/7 workloads. It supports advanced diagnostics and monitoring tools to predict potential failures before they occur, ensuring maximum system uptime.

Scalability and Future-Ready Performance

The Nvidia A10 is designed for scalability, supporting multiple GPU configurations and cluster deployments. Organizations can integrate multiple A10 units in a single system to accelerate performance for large-scale AI training, rendering farms, or simulation clusters.

Multi-GPU and NVLink

While primarily using PCIe 4.0 for connectivity, the A10 supports multi-GPU setups, allowing developers and data centers to scale compute resources horizontally. This scalability enables faster processing of large datasets and more complex workloads.

Modern Data Center Platforms

The GPU is optimized for use with Nvidia-certified servers and workstations, ensuring seamless integration with modern infrastructure from vendors like Dell, HP, Lenovo, and Supermicro. It supports advanced virtualization and containerization environments using Kubernetes and Docker.

Future-Proof Investment for AI and HPC

As AI, machine learning, and visualization workloads continue to evolve, the A10’s architecture and memory configuration ensure it remains capable of handling next-generation applications efficiently, making it a smart long-term investment for businesses and research institutions.