699-2G133-0215-C02 Nvidia 24GB A10 GDDR6 384-Bit PCIE 4.0 Graphics Card

Highlights of Nvidia 24GB A10 Graphics Card

The Nvidia 699-2G133-0215-C02 is a high-performance graphics card designed for professional workloads, AI computations, and advanced visualization. Featuring the powerful NVIDIA Ampere architecture, this card delivers exceptional computing capabilities with a balance of speed and efficiency.

General Details

• Brand Name: Nvidia
• Part Number: 699-2G133-0215-C02
• Device Type: Graphics Card

Core Technical Features

• GPU Architecture: NVIDIA Ampere
• Memory Type: GDDR6
• Memory Size: 24GB
• Memory Bus: 384-bit
• Memory Clock Speed: 12.5 Gbps
• Memory Bandwidth: 600 GB/s
• Bus Interface: PCI-Express 4.0 x16
• OpenCL Support: Version 3.0
• Error-Correcting Code (ECC) Memory: Enabled by default

Processing Power

• CUDA Cores: 72
• Core Clock Speed: 885 MHz
• Lithography: 8nm
• Peak FP32 Performance: 31.2 TFLOPS
• Peak FP16 Performance: 31.2 TFLOPS
• Peak FP64 Performance: 976.3 GFLOPS

Design and Cooling

• Cooling System: Passive cooling
• Form Factor: Single-slot, Full-height, Full-length (FHFL)

Power Requirements

• Recommended PSU: 450W
• Power Consumption (TDP): 150W
• Power Connector: 1x 8-pin

Advanced Features and Benefits

• Optimized for AI and deep learning workloads.
• High memory capacity supports large datasets and complex simulations.
• Passive cooling enables silent operation in server environments.
• Supports advanced parallel computing through CUDA and OpenCL.
• High memory bandwidth ensures rapid data transfer and rendering.

Ideal Use Cases

• AI model training and inference.
• 3D rendering and graphics-intensive applications.
• High-performance computing tasks and simulations.
• Data centers requiring reliable and energy-efficient GPU solutions.

Compatibility and Integration

• Compatible with PCIe 4.0 slots for maximum bandwidth utilization.
• Single-slot design fits in most server and workstation chassis.
• Supports a wide range of professional applications for rendering and computation.

Choose the Nvidia 699-2G133-0215-C02

• Delivers unmatched performance for professional AI and computing workloads.
• Large 24GB GDDR6 memory ensures smooth processing of complex tasks.
• Passive cooling design is ideal for quiet, efficient operation.
• Optimized power consumption keeps operational costs lower while maintaining high performance.

Nvidia A10 24GB GDDR6 Graphics Card Overview

The Nvidia 699-2G133-0215-C02, known as the A10 24GB graphics card, delivers superior computing performance for a variety of professional workloads. Designed with advanced GDDR6 memory architecture and a 384-bit memory interface, this PCI-Express 4.0 x16 card ensures high-speed data transfer, optimized parallel processing, and sustained workload efficiency. Its single 8-pin power connection allows for a compact yet powerful installation in workstation environments.

Advanced GPU Architecture

Ampere Architecture and CUDA Core Optimization

The A10 GPU leverages Nvidia's Ampere architecture, which introduces a refined CUDA core design for maximum efficiency in data processing. Each core is optimized to handle complex computational tasks, enhancing parallel computing performance for machine learning, AI modeling, and rendering operations. The enhanced structure of the cores ensures that both graphics and compute-intensive tasks benefit from reduced latency and higher throughput.

Enhanced Tensor and RT Core Integration

Integral to the Nvidia A10 card are the specialized Tensor cores, which accelerate AI inference tasks, and the RT cores, which enhance real-time ray tracing capabilities. This combination ensures that visualizations, simulations, and deep learning workloads operate seamlessly, delivering accurate and high-quality outputs. The synergy between these cores enables enterprises to execute high-demand tasks with minimal bottlenecks and optimized energy consumption.

Memory Architecture and Bandwidth

24GB GDDR6 Memory Performance

Equipped with 24GB of GDDR6 memory, the Nvidia A10 ensures large dataset processing and high-resolution texture handling. The 384-bit memory interface provides substantial bandwidth for fast and efficient data movement, reducing frame time in rendering and accelerating AI model training. This makes the A10 ideal for workstations handling 3D modeling, video editing, and complex simulations.

Memory Optimization Techniques

Nvidia incorporates advanced memory management technologies to maximize throughput and minimize latency. Features like error-correcting code (ECC) support and memory compression allow for consistent performance even under heavy computational loads. These enhancements ensure that professionals working on large-scale datasets experience stability, accuracy, and uninterrupted workflow efficiency.

Connectivity and Expansion

PCI-Express 4.0 x16 Interface

The A10 graphics card utilizes the PCI-Express 4.0 x16 interface, providing double the bandwidth of PCIe 3.0 counterparts. This facilitates rapid communication between the GPU and CPU, reducing data transfer bottlenecks and accelerating rendering, simulation, and AI inference tasks. The higher lane count also improves compatibility with high-performance servers and workstation motherboards.

Power and Cooling Requirements

Featuring a single 8-pin power connector, the A10 balances energy efficiency with high performance. The design ensures a manageable thermal footprint while delivering reliable operation under extended workloads. Advanced cooling technologies incorporated into the card maintain optimal temperatures, preventing thermal throttling and allowing sustained high-performance execution for professional applications.

Professional Use Cases

AI and Deep Learning Applications

The Nvidia A10 excels in artificial intelligence and machine learning tasks due to its large memory capacity, Tensor core acceleration, and high-speed processing capabilities. It can handle extensive datasets, train neural networks faster, and provide real-time inference for AI applications. The combination of memory bandwidth and core optimization ensures that deep learning engineers achieve consistent and reliable results.

Graphics Rendering and Virtual Workstations

For professional visualization, the A10 provides superior rendering capabilities for complex 3D models, architectural simulations, and VFX projects. Its RT cores and high memory bandwidth allow real-time ray tracing, global illumination, and photorealistic rendering without compromising frame rates. The GPU supports virtualized environments, making it suitable for remote workstations and collaborative design projects in enterprise settings.

High-Performance Computing (HPC) Tasks

Scientific computing, simulations, and data analytics benefit from the Nvidia A10’s computational capabilities. Its parallel processing power and memory bandwidth enable fast computations in fields such as fluid dynamics, genomics, and financial modeling. Professionals can rely on the A10 for workloads that require both speed and precision, ensuring accurate simulations and data processing in research or industrial applications.

Performance Benchmarks and Efficiency

Rendering and Simulation Benchmarks

Performance testing demonstrates the Nvidia A10’s superior rendering speed, efficient parallel computation, and minimal latency under heavy workloads. Benchmarks in 3D rendering, video editing, and AI model training consistently show high throughput and reduced computation time, confirming the card’s suitability for professional workloads requiring both speed and precision.

Power Efficiency and Thermal Management

Despite its high-performance capabilities, the A10 maintains impressive power efficiency. The integration of advanced thermal solutions and optimized energy consumption ensures sustained operations without excessive heat generation. Users benefit from lower energy costs, reduced cooling requirements, and prolonged hardware longevity, making the A10 a practical choice for large-scale deployment in enterprise environments.