NVIDIA A30 TENSOR CORE GPU VERSATILE COMPUTE ACCELERATION FOR MAINSTREAM ENTERPRISE SERVERS

The NVIDIA A30 is an enterprise-class graphics processing unit (GPU) designed for high-performance computing, artificial intelligence (AI) and machine learning (ML) acceleration, and big data processing on the DELL PowerEdge R760 and DELL PowerEdge R760xa servers . . It is built on the Ampere architecture and is part of NVIDIA's professional line focused on AI, HPC (High Performance Computing) and virtualization tasks.

Key features of NVIDIA A30:

1. Architecture :

   • Ampere is an architecture with improved energy efficiency and performance, especially for AI and HPC tasks.

2. CUDA kernel :

   • 6,912 CUDA cores — parallel cores for performing general computing tasks and intensive calculations.

3. Tensor kernels :

   • 216 Tensor cores (3rd generation) — specialized cores for accelerating matrix operations, which are key for machine learning and deep learning tasks, support for FP16, TF32, INT8 format, which allows for more efficient processing of deep learning operations.

4. RT kernels :

   • No RT cores as the A30 is not focused on ray-traced graphics rendering, but more on compute and AI.

5. Memory :

   • 24 GB HBM2 is high-speed memory with wide bandwidth for processing large data sets.
   • Memory bandwidth: 933 GB/s , which provides fast access to data when processing intensive computing tasks.

6. Energy consumption (TDP) :

   • 165 W is an energy-efficient chip, given the high level of computing power, which makes it suitable for dense computing environments in data centers.

7. Interface :

   • PCIe Gen4 — Support for PCIe 4.0 for increased bandwidth between the GPU and other system components.

8. Multi-instance GPU (MIG) :

   • A30 supports MIG (Multi-Instance GPU) technology, which allows dividing the GPU into several logical instances that can serve independent computing tasks for different users or applications at the same time. This function allows you to optimize the use of resources of virtualized environments and cloud platforms.

Purpose of NVIDIA A30:

1. Artificial intelligence and machine learning :

   • A30 is optimized for training and inference of machine learning models, particularly for deep neural networks. Thanks to third-generation Tensor cores, it can significantly accelerate low-precision operations (FP16, INT8) and work with large AI models.
   • TF32 support allows you to achieve greater accuracy in training tasks without significantly reducing performance.

2. High performance computing (HPC) :

   • The A30 delivers excellent performance for high performance computing (HPC) tasks such as scientific simulations, big data processing, computational biology and physics, financial modeling and engineering tasks.
   • Double precision math support (FP64) for precise scientific and engineering calculations.

3. Virtualization and multi-user environments :

   • A30 supports GPU virtualization technology, which allows efficient use of its resources in several virtual machines or for several users at the same time. This makes it an ideal choice for cloud platforms and enterprise data centers.

4. Acceleration of big data analytics :

   • The A30 is suitable for accelerating the processing and analysis of big data in real time thanks to its powerful computing capabilities and high memory bandwidth. This allows it to be used in business analytics, forecasting and data processing in the field of healthcare.

5. Medical visualization and other scientific tasks :

   • The A30 is used in computationally intensive and data-intensive industries such as medical imaging, genomics and climate change modeling.

Key benefits of NVIDIA A30:

• Versatility for AI and HPC : The A30 combines capabilities to accelerate both machine learning and high-performance computing.
• MIG (Multi-Instance GPU) : With MIG support, multiple applications or users can simultaneously use a single GPU without affecting each other's performance.
• High performance with moderate power consumption : High computing power combined with relatively low power consumption makes the A30 an energy-efficient solution for servers and data centers.
• Large amount of memory : 24 GB HBM2 allows working with large models and data sets, which is important for scientific and AI applications.

Fields of application of NVIDIA A30:

• Training and inference of AI models .
• High performance computing (HPC) for science and engineering.
• Cloud computing and virtualization for corporate data centers.
• Big data analysis and business analytics.
• Medical imaging and other research tasks.

The NVIDIA A30 is a powerful and energy-efficient solution for companies and academic institutions that require high-performance computing, AI processing and the ability to scale virtual environments.

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 .