NVIDIA A800 PCIe Graphics Card 80 GB

The A800 PCIe 80 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 80 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 80 GB HBM2e memory with the A800 PCIe 80 GB, which are connected using a 5120-bit memory interface. The GPU is operating at a frequency of 1065 MHz, which can be boosted up to 1410 MHz, memory is running at 1512 MHz.

Being a dual-slot card, the NVIDIA A800 PCIe 80 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 80 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 Enterprise Workloads

• CUDA Cores
  • Features 6,912 CUDA cores, providing massive parallel processing power for computationally intensive tasks such as AI training, data simulations, and scientific research.
• Second-Generation RT Cores
  • Enhances ray tracing capabilities for physically accurate lighting, reflections, and simulations, making it ideal for rendering and engineering workflows.
• Third-Generation Tensor Cores
  • Supports mixed-precision computations, including FP32, FP16, and INT8, delivering up to 5X performance improvement for AI workloads compared to previous-generation GPUs.

2. 80 GB HBM2e Memory

• High Memory Capacity
  • The massive 80 GB of HBM2e memory provides sufficient capacity for large-scale AI models, scientific simulations, and real-time data analytics.
• Ultra-Fast Bandwidth
  • Features up to 2 TB/s of memory bandwidth, ensuring seamless handling of massive datasets and memory-intensive operations.

3. Scalability and Multi-GPU Support

• NVLink Support
  • Enables multi-GPU configurations by connecting multiple A800 GPUs via NVIDIA NVLink, effectively scaling memory and compute capacity for large-scale applications.
• Multi-Instance GPU (MIG)
  • Allows multiple users or tasks to securely share GPU resources, optimizing efficiency in virtualized and containerized environments.

4. Energy Efficiency

• Optimized Power Usage
  • Designed with data center efficiency in mind, the A800 delivers exceptional performance-per-watt, reducing operational costs while maintaining high performance.
• PCIe 4.0 Support
  • Offers high-speed data transfer, ensuring low latency and optimal throughput for HPC and AI workflows.

5. Enterprise-Grade Reliability

• Certified Drivers and Support
  • Fully supported by NVIDIA’s enterprise drivers and software stack, ensuring compatibility, stability, and optimized performance in professional environments.
• Long-Term Lifecycle
  • Designed for enterprise-grade durability and lifecycle support, making it a dependable choice for long-term deployments.

Applications:

1. Artificial Intelligence and Machine Learning

• • AI Training: Handles large-scale AI models such as natural language processing (NLP) and computer vision, enabling faster training times and greater model accuracy.
  • AI Inferencing: Optimized for inferencing at scale, making it ideal for real-time applications like autonomous vehicles, recommendation systems, and AI-powered search engines.

2. High-Performance Computing (HPC)

• • Scientific Research: Powers simulations in physics, climate modeling, genomics, and other fields requiring massive parallel computing.
  • Big Data Analytics: Accelerates data pipelines, enabling interactive analytics and faster insights for industries like finance, healthcare, and retail.

3. Rendering and Visualization

• • 3D Rendering: Enhances rendering pipelines with real-time ray tracing, delivering photorealistic results for architecture, product design, and VFX.
  • Engineering Simulations: Supports large-scale simulations for CAD, CAM, and CAE workflows, enabling faster iterations and improved precision.

4. Data Centers and Virtualization

• • Virtual Desktop Infrastructure (VDI): Powers virtualized environments, enabling multiple users to work on graphics-intensive tasks simultaneously.
  • Edge Computing: Supports AI and HPC workloads at the edge, making it suitable for IoT and smart city applications.

5. Digital Twins and Simulations

• • Industrial Applications: Accelerates digital twin technology for real-time monitoring, predictive maintenance, and optimization of industrial processes.
  • IoT Analytics: Facilitates real-time data analysis from IoT sensors, improving decision-making across connected systems.

Why Choose the NVIDIA A800 PCIe Graphics Card 80 GB?

1. Massive Memory for Enterprise-Grade Workloads

1. • The A800’s 80 GB HBM2e memory and 2 TB/s bandwidth ensure it can handle memory-intensive tasks like training large AI models and running complex simulations without bottlenecks.

2. Unparalleled Performance for AI and HPC

1. • With 6,912 CUDA cores and third-generation Tensor Cores, the A800 offers exceptional computational power, making it ideal for demanding AI and HPC applications.

3. Scalable Multi-GPU Configurations

1. • NVLink and MIG technology allow for efficient scaling across multiple GPUs, enabling seamless resource sharing and maximizing efficiency in data center environments.

4. Energy Efficiency and Cost Optimization

1. • Designed for maximum performance per watt, the A800 reduces power consumption while delivering enterprise-level performance, helping businesses optimize operational costs.

5. Enterprise Reliability and Long-Term Support

1. • Backed by NVIDIA’s certified drivers, lifecycle support, and a robust software ecosystem, the A800 ensures compatibility and reliability for professional use cases.

6. Future-Proof for Next-Gen Applications

1. • Equipped with PCIe 4.0, second-gen RT Cores, and Ampere’s advanced architecture, the A800 is built to handle emerging technologies and workflows, providing long-term value.