The best prices for official DELL PowerEdge R760 servers in Ukraine.

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Available server models from the warehouse in Kyiv:

• Server Dell PowerEdge R760 - Intel Xeon Silver 4510 2.4-4.1Ghz 12 Cores

• Server Dell PowerEdge R760 - Intel Xeon Silver 4514Y 2.0-3.4Ghz 16 Cores

• Server Dell PowerEdge R760 - Intel Xeon Gold 6526Y 2.8-3.9Ghz 16 Cores

• Server Dell PowerEdge R760 - Intel Xeon Gold 5420+ 2.0-4.1Ghz 28 Cores

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 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 cores :

   • 6912 CUDA cores — parallel cores for performing general computing tasks and intensive calculations.

3. Tensor cores :

   • 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-cores :

   • Lack of RT cores, as the A30 is not focused on ray-traced graphics rendering, but more on computing and AI.

5. Memory :

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

6. Power consumption (TDP) :

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

7. Interface :

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

8. Multi-instance GPU (MIG) :

   • The A30 supports MIG (Multi-Instance GPU) technology, which allows the GPU to be divided into multiple logical instances that can serve independent computing tasks for different users or applications simultaneously. This feature allows you to optimize the resource utilization of virtualized environments and cloud platforms.

Purpose of NVIDIA A30:

1. Artificial Intelligence and Machine Learning :

   • The A30 is optimized for training and inferencing machine learning models, particularly deep neural networks. With third-generation Tensor cores, it can significantly accelerate low-precision operations (FP16, INT8) and handle large AI models.
   • TF32 support allows for greater accuracy in training tasks without a significant performance reduction.

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.
   • Support for double-precision (FP64) math calculations for precise scientific and engineering calculations.

3. Virtualization and multi-user environments :

   • The A30 supports GPU virtualization technology, allowing its resources to be efficiently used across multiple virtual machines or for multiple users simultaneously, making it an ideal choice for cloud platforms and enterprise data centers.

4. Accelerating big data analytics :

   • The A30 is suitable for accelerating real-time big data processing and analysis with its powerful computing capabilities and high memory bandwidth, making it suitable for business intelligence, forecasting, and healthcare data processing.

5. Medical imaging and other scientific tasks :

   • The A30 is used in industries that require intensive computing and large amounts of data, 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 use a single GPU simultaneously 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 memory : 24 GB of HBM2 allows you to work with large models and datasets, which is important for scientific and AI applications.

NVIDIA A30 application areas:

• 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 intelligence.
• Medical imaging and other research tasks.

The NVIDIA A30 is a powerful and energy-efficient solution for businesses 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 visit our SERVER SOLUTIONS website . To find out the cost of the server, click on the DELL Server Configurator link .