NVIDIA A800 PCIe Graphics Card 40 GB

The A800 PCIe 40 GB is a professional graphics card by NVIDIA, launched on November 8th, 2022. Built on the 7 nm process, and based on the GA100 graphics processor, the card does not support DirectX. Since A800 PCIe 40 GB does not support DirectX 11 or DirectX 12, it might not be able to run all the latest games. The GA100 graphics processor is a large chip with a die area of 826 mm² and 54,200 million transistors. It features 6912 shading units, 432 texture mapping units, and 160 ROPs. Also included are 432 tensor cores which help improve the speed of machine learning applications. NVIDIA has paired 40 GB HBM2e memory with the A800 PCIe 40 GB, which are connected using a 5120-bit memory interface. The GPU is operating at a frequency of 765 MHz, which can be boosted up to 1410 MHz, memory is running at 1215 MHz.

Being a dual-slot card, the NVIDIA A800 PCIe 40 GB draws power from an 8-pin EPS power connector, with power draw rated at 250 W maximum. This device has no display connectivity, as it is not designed to have monitors connected to it. A800 PCIe 40 GB is connected to the rest of the system using a PCI-Express 4.0 x16 interface. The card measures 267 mm in length, 111 mm in width, and features a dual-slot cooling solution.

Key Features:

1. Ampere Architecture for Enhanced Compute Performance

• CUDA Cores
  • Equipped with 6,912 CUDA cores, the A800 delivers massive parallel processing power to handle computationally intensive tasks, including simulations, rendering, and scientific research.
• Second-Generation RT Cores
  • Delivers real-time ray tracing capabilities for physically accurate lighting and reflections, enabling advanced rendering and visualization workflows.
• Third-Generation Tensor Cores
  • Optimized for mixed-precision computations, these cores accelerate AI workloads, delivering faster performance for training and inference tasks.

2. 40 GB HBM2e Memory

• High-Capacity Memory
  • The 40 GB of HBM2e memory supports memory-intensive workloads such as AI model training, large dataset analytics, and real-time simulation.
• High Bandwidth
  • Offers 6 TB/s of memory bandwidth, ensuring seamless data transfer and processing, critical for large-scale applications.

3. Scalability and Multi-GPU Support

• NVLink Connectivity
  • Enables efficient multi-GPU configurations by connecting multiple A800 GPUs via NVIDIA NVLink, effectively scaling compute and memory resources for large-scale enterprise applications.
• Multi-Instance GPU (MIG)
  • Supports up to 7 independent GPU instances, enabling multiple users or tasks to securely and efficiently share GPU resources, maximizing productivity in virtualized environments.

4. Energy Efficiency and High Throughput

• Optimized Power Efficiency
  • With a TDP of approximately 250W, the A800 delivers superior performance-per-watt, reducing energy consumption and operational costs in enterprise settings.
• PCIe 4.0 Support
  • High-speed PCIe 4.0 support ensures low-latency and high-throughput data transfer, enhancing performance in data-heavy tasks.

5. Enterprise Reliability and Ecosystem

• Certified Drivers
  • Backed by NVIDIA’s enterprise drivers, ensuring compatibility, stability, and optimized performance for professional applications.
• Long-Term Support
  • Designed for extended lifecycle support, providing reliability and consistency for enterprise deployments.

Applications:

1. Artificial Intelligence and Machine Learning

• • AI Training: Accelerates deep learning models for applications like natural language processing (NLP), computer vision, and generative AI.
  • AI Inferencing: Delivers low-latency performance for deploying real-time AI applications, such as recommendation systems and autonomous systems.

2. High-Performance Computing (HPC)

• • Scientific Simulations: Ideal for physics, genomics, climate modeling, and computational chemistry requiring high parallelism.
  • Big Data Processing: Accelerates analytics workflows for processing and analyzing massive datasets in industries like finance and healthcare.

3. Rendering and Visualization

• • 3D Rendering: Enhances rendering pipelines with real-time ray tracing for photorealistic visuals in architecture, VFX, and product design.
  • Visualization: Powers interactive visualization for engineering and simulation workflows, ensuring fast and accurate results.

4. Enterprise Data Centers and Virtualization

• • Virtual Desktop Infrastructure (VDI): Enables virtualized GPU workloads, allowing multiple users to run graphics-intensive applications simultaneously.
  • Cloud Computing: Optimized for AI and HPC workloads in cloud environments, supporting edge computing and IoT applications.

5. Digital Twins and Industrial Applications

• • IoT and Digital Twins: Drives real-time analytics and predictive modeling in smart factories and industrial automation.
  • Edge Computing: Supports AI and HPC workloads at the edge, making it suitable for connected devices and industrial IoT ecosystems.

Why Choose the NVIDIA A800 PCIe Graphics Card 40 GB?

1. Powerful Performance for Professional Workloads

1. • With 6,912 CUDA cores and 40 GB of HBM2e memory, the A800 delivers exceptional compute and memory performance for data-intensive and compute-heavy applications.

2. Massive Memory Bandwidth

1. • The 1.6 TB/s bandwidth ensures seamless performance when processing large datasets, AI models, and real-time analytics.

3. Scalable and Flexible

1. • NVLink and MIG technology allow the A800 to scale across multi-GPU configurations, making it suitable for enterprise applications requiring multiple users or tasks.

4. Energy Efficiency

1. • The A800 is optimized for performance-per-watt, reducing operational costs without compromising on computational power.

5. Enterprise-Grade Reliability

1. • Backed by NVIDIA’s certified drivers and long-term support, the A800 ensures stability and compatibility in professional and enterprise environments.

6. Future-Proof Technology

1. • Equipped with PCIe 4.0, NVLink, and Ampere’s advanced architecture, the A800 is designed to support emerging technologies and workflows, ensuring long-term investment value.