# NVIDIA A800 40GB Active GPU > Powerful graphics card for AI and machine learning applications **Wikidata**: [Q123477968](https://www.wikidata.org/wiki/Q123477968) **Source**: https://4ort.xyz/entity/nvidia-a800-40gb-active-gpu ## Summary The NVIDIA A800 40GB Active GPU is a high-performance graphics card designed for artificial intelligence and machine learning applications. Released in 2023, it is based on NVIDIA's Ampere architecture and features 40GB of HBM2 memory with a data transfer speed of 1.5 terabytes per second. The card delivers 623.8 teraflops of tensor performance and 9.7 teraflops of double-precision floating-point performance. ## Key Facts - Released in 2023 by NVIDIA Corporation, founded April 5, 1993 - Based on NVIDIA's Ampere architecture - Features 40GB of HBM2 memory with 5,210 GB/s signal bandwidth - Delivers 1.5 TB/s memory bandwidth - Provides 623.8 teraflops of tensor performance for AI workloads - Offers 9.7 teraflops of double-precision floating-point performance - Manufactured by NVIDIA, which had 36,000 employees as of February 26, 2025 - Headquartered in Santa Clara, California at 2788 San Tomas Expressway - Used for artificial intelligence, high-performance computing, simulation video games, and computer-aided engineering ## FAQs ### Q: What is the NVIDIA A800 40GB Active GPU used for? A: The NVIDIA A800 40GB Active GPU is designed for artificial intelligence and machine learning applications, as well as high-performance computing, simulation video games, and computer-aided engineering tasks. ### Q: What are the key specifications of the NVIDIA A800 40GB Active GPU? A: The NVIDIA A800 40GB Active GPU features 40GB of HBM2 memory, 1.5 TB/s memory bandwidth, 5,210 GB/s signal bandwidth, 623.8 teraflops of tensor performance, and 9.7 teraflops of double-precision floating-point performance. ### Q: When was the NVIDIA A800 40GB Active GPU released? A: The NVIDIA A800 40GB Active GPU was released in 2023. ## Why It Matters The NVIDIA A800 40GB Active GPU represents a significant advancement in GPU technology for AI and machine learning workloads. As artificial intelligence applications become increasingly complex and data-intensive, the demand for high-performance computing hardware has grown exponentially. This GPU addresses that need by providing exceptional tensor performance of 623.8 teraflops, enabling researchers and developers to train larger models and process more data in less time. The 40GB of HBM2 memory with 1.5 TB/s bandwidth allows for handling massive datasets without memory bottlenecks, which is crucial for training sophisticated AI models. Its versatility across multiple applications—from AI and high-performance computing to simulation and computer-aided engineering—makes it a valuable tool for various industries pushing the boundaries of computational capabilities. The A800's performance specifications position it as a competitive solution in the enterprise GPU market, where organizations require reliable, powerful hardware to maintain their competitive edge in AI development and deployment. ## Notable For - Exceptional tensor performance of 623.8 teraflops, making it highly efficient for AI and machine learning workloads - 40GB HBM2 memory capacity with 1.5 TB/s bandwidth, enabling processing of large datasets without memory constraints - Based on NVIDIA's Ampere architecture, representing the latest generation of GPU technology - Versatile across multiple high-performance computing applications including AI, simulation, and computer-aided engineering - Manufactured by NVIDIA, the world's leading semiconductor company with 36,000 employees as of 2025 ## Body ### Technical Architecture The NVIDIA A800 40GB Active GPU is built on NVIDIA's Ampere architecture, which represents a significant evolution in GPU design. This architecture enables the card to deliver exceptional performance across various computational workloads while maintaining energy efficiency. The GPU's design incorporates advanced manufacturing processes that allow for higher transistor density and improved thermal management compared to previous generations. ### Memory Configuration The GPU features 40GB of HBM2 (High Bandwidth Memory) with a signal bandwidth of 5,210 GB/s. This high-bandwidth memory configuration is crucial for AI and machine learning applications where large datasets need to be accessed rapidly. The 1.5 TB/s memory bandwidth ensures that data can flow between the GPU and memory without creating bottlenecks that would slow down computations. ### Performance Capabilities The A800 delivers 623.8 teraflops of tensor performance, which is specifically optimized for deep learning operations. Tensor cores are specialized processing units that accelerate matrix operations, which are fundamental to neural network computations. Additionally, the card provides 9.7 teraflops of double-precision floating-point performance, making it suitable for scientific computing applications that require high numerical accuracy. ### Application Versatility While primarily designed for AI and machine learning, the NVIDIA A800 40GB Active GPU is versatile enough to handle multiple high-performance computing tasks. Its architecture supports simulation video games, allowing for more realistic physics and graphics rendering. The card is also suitable for computer-aided engineering applications, where complex simulations and calculations are required for product design and testing. ### Manufacturing and Support Produced by NVIDIA Corporation, a leading American multinational technology company headquartered in Santa Clara, California, the A800 benefits from NVIDIA's extensive research and development capabilities. The company's established manufacturing processes and global support network ensure reliable production and customer service for enterprise customers deploying these GPUs in data centers and research facilities.