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The NVIDIA A800 40GB Graphics Card is a powerful enterprise-grade GPU designed to accelerate artificial intelligence, deep learning, and high-performance computing workloads. Built on the advanced NVIDIA Ampere architecture, this professional GPU delivers exceptional computing capabilities for organizations handling complex data processing and AI model training. Equipped with 40GB of ultra-fast HBM2 memory, the NVIDIA A800 allows researchers, developers, and businesses to efficiently process massive datasets and train large AI models without performance bottlenecks.
The NVIDIA A800 graphics card comes with 40GB of advanced HBM2 memory that delivers extremely high memory bandwidth, enabling faster processing of large datasets, AI models, and complex computational workloads used in machine learning and scientific research.
Built on the powerful NVIDIA Ampere GPU architecture, the A800 provides advanced Tensor Cores and CUDA cores that significantly enhance performance for artificial intelligence, deep learning training, and GPU-accelerated computing applications.
The A800 GPU is specifically designed for AI development environments, supporting modern deep learning frameworks such as TensorFlow, PyTorch, and CUDA-based applications to accelerate model training and AI inference tasks.
With next-generation Tensor Cores, the NVIDIA A800 improves the speed and efficiency of matrix calculations required for neural networks, enabling faster training of AI models and improved performance in data-intensive computing workloads.
Designed for data center deployment, the NVIDIA A800 GPU offers reliable enterprise performance, allowing organizations to scale their AI infrastructure and support multiple users and workloads simultaneously.
The NVIDIA A800 GPU provides the computational power required for training advanced neural networks, natural language processing models, and computer vision applications used in modern AI research.
With its large memory capacity and powerful processing cores, the A800 enables data scientists to analyze massive datasets quickly and efficiently, improving the speed of insights and predictive analytics.
Researchers and engineers can use the NVIDIA A800 GPU to accelerate scientific simulations, financial modeling, climate analysis, and other HPC workloads that require massive parallel processing capabilities.
The A800 GPU is ideal for enterprise AI environments and cloud platforms that require reliable GPU acceleration for multiple users, virtualized workloads, and scalable computing infrastructure.
The NVIDIA A800 is designed to handle complex AI and computing tasks with exceptional speed, enabling organizations to reduce training times and improve the efficiency of their computational workflows.
With 40GB of HBM2 memory, the GPU allows users to train larger and more sophisticated AI models without running into memory limitations, making it ideal for enterprise-scale AI development.
As a product developed by NVIDIA, a global leader in GPU technology and AI computing solutions, the A800 GPU delivers industry-leading performance, reliability, and compatibility with modern computing frameworks.
| Product Name | NVIDIA A800 40GB Graphics Card |
| Architecture | NVIDIA Ampere |
| CUDA Cores | 6,912 |
| Tensor Cores | 432 (3rd Generation) |
| GPU Memory | 40GB HBM2 |
| Memory Interface | 5120-bit |
| Memory Bandwidth | Up to 1,555 GB/s |
| FP64 Performance | 9.7 TFLOPS |
| FP32 Performance | 19.5 TFLOPS |
| AI Performance | Up to 1,247 TOPS |
| Max Power Consumption | 240W |
| Bus Interface | PCI Express 4.0 x16 |
| Form Factor | Dual Slot, Full Height |
| Cooling | Active Cooling |
| Display Outputs | No Display Output (Compute GPU) |
| Weight | ~1.18 kg |
| Multi-GPU Support | Yes (NVLink) |
| Use Case | AI, Deep Learning, HPC, Data Science, Simulation |
Zortex Computer teams stand ready to help enterprises solve complex technology challenges.
All deployed systems follow our standard ISO 9001 procedure and go through rigorous quality testing to ensure high field rates.
Our team of engineers will take a structured planned approach specific to your business needs and design a solution based on your infrastructure requirements and goals.
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We deploy our solutions to over 30 countries worldwide.
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