NVIDIA A40 Powerful Data Center GPU For Visual Computing
NVIDIA A40 is an enterprise-class GPU designed for high-performance computing, graphics rendering, artificial intelligence (AI), and virtualization of graphics workstations based on DELL PowerEdge R760 and DELL PowerEdge R760xa servers. It is built on the Ampere architecture and offers a powerful solution for tasks that require high performance for both computing and graphics tasks.
Key features of NVIDIA A40:
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Architecture :
- Ampere is a modern architecture from NVIDIA that provides significant performance improvements in AI, rendering, and virtualization tasks.
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CUDA kernel :
- 10,752 CUDA cores — parallel computing cores that accelerate calculations in graphics, big data, and AI tasks.
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Tensor kernels :
- 336 Tensor cores (3rd generation) - specialized cores for accelerating machine learning, deep learning and AI tasks, supporting FP16, TF32, INT8 formats, as well as the new Sparsity format to improve performance without losing accuracy.
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RT-kernel (Ray Tracing Cores) :
- 84 RT-cores (2nd generation) - cores to accelerate graphics rendering using real-time ray tracing, making the A40 ideal for 3D rendering, architectural design and animation tasks.
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Memory :
- 48GB GDDR6 ECC — Large amount of video memory with error correction (ECC) support for stability and reliability in high-performance environments.
- Memory Bandwidth: 696 GB/s — Fast data transfer between memory and GPU cores, providing excellent performance for heavy graphics and computing workloads.
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Energy consumption (TDP) :
- 300 W is a relatively high power consumption that corresponds to high performance and a large amount of memory.
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Interface :
- PCIe Gen4 — support for the high-speed PCIe 4.0 interface, which allows fast data exchange between the GPU and other system components.
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Multi-instance GPU (MIG) :
- MIG (Multi-Instance GPU) support is a technology that allows you to distribute one GPU to several logical instances, each of which can work independently of the others. This allows you to efficiently use the resources of virtualized environments and ensure the parallel operation of several users or applications on the same GPU.
Purpose of NVIDIA A40:
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Artificial intelligence and machine learning :
- A40 is ideal for training machine learning and inference models in real time. Thanks to third-generation Tensor cores and Sparsity capabilities, A40 is able to significantly accelerate calculations related to neural networks.
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Visualization and rendering :
- Thanks to RT cores for ray tracing, the A40 can process complex graphics scenes with high precision in real time. This makes it ideal for architectural rendering, 3D graphics rendering, engineering applications and content creation for virtual reality (VR).
- A40 supports 3D graphics APIs such as DirectX 12, OpenGL, Vulkan, and is a great choice for designers, architects and animation professionals.
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Virtualization of graphic workstations (VDI) :
- The A40 supports NVIDIA vGPU (Virtual GPU), which allows you to create virtual graphics workstations for multiple users. This is ideal for large enterprise environments where multiple users can run graphically intensive applications on a single GPU.
- vGPU support enables companies to provide high-performance virtual workstations for graphic designers, engineers, and scientists while reducing hardware costs.
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Scientific research and HPC (High-Performance Computing) :
- A40 can be used for high-performance computing in scientific research and engineering. Support for double-precision computing (FP64) makes it useful for tasks that require high-precision computing, such as simulations, climate change modeling, and computational biology and physics.
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Virtual Reality (VR) :
- The A40 is capable of creating and rendering high-quality VR applications, making it an excellent choice for creating content for virtual and augmented reality, especially in education, architecture and design.
Key benefits of NVIDIA A40:
- Combining graphics and computing power : The A40 is an all-in-one solution suitable for AI, high-end rendering and high-performance computing (HPC) computing tasks.
- Large amount of memory (48 GB) : This allows you to work with large models and complex graphic scenes.
- Virtualization capability (MIG, vGPU) : Support for multi-instance and virtualization enables efficient use of GPUs in cloud and enterprise environments, giving multiple users access to high-performance computing power.
Fields of application of NVIDIA A40:
- Artificial intelligence and deep learning (training and inference).
- 3D rendering, ray tracing and graphic design .
- Virtual workstations (VDI) for graphically intensive applications .
- High Performance Computing (HPC) and Scientific Simulations .
- Creating content for virtual reality (VR) .
NVIDIA A40 is a powerful and flexible tool for professionals working with computing and graphics tasks, as well as for enterprises using virtualization of graphics workstations or deploying AI models in their data centers.
How can we help?
For more detailed information about the DELL PowerEdge R760 server with DDR5 4800 or the DELL PowerEdge R750 server with DDR4 3200, you can find it on our website SERVER SOLUTIONS , to find out the cost of the server, go to the DELL Server Configurator link .