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

Entry-level GPU A2 that brings NVIDIA AI to any server

The NVIDIA A2 is an enterprise-grade graphics processing unit (GPU) designed for artificial intelligence (AI), machine learning (ML), and compute acceleration in the DELL PowerEdge R760 and DELL PowerEdge R760xa servers. It is part of the NVIDIA A-Series line, focused on cloud computing, AI, and data center computing.

Key features of NVIDIA A2:

• Architecture: Ampere is NVIDIA's modern architecture that improves performance and energy efficiency over previous generations.
• CUDA cores: 1280 CUDA cores - the main computing core for performing parallel calculations.
• Tensor Cores: 40 Tensor Cores - special cores for performing accelerated operations related to AI and deep learning, such as low-precision matrix multiplications (FP16, INT8).
• Memory: 16 GB GDDR6 - the amount of video memory for storing large datasets and models working with AI.
• Memory bus width: 128 bits.
• Power Consumption (TDP): 60W - Relatively low power consumption for use in server and cloud environments, making A2 suitable for dense server installations.
• Form factor: Low-profile card with passive cooling (no fan), making it suitable for use in tight server racks.
• Interface: PCIe Gen4 - support for the PCIe 4.0 interface for fast data transfer between the processor and GPU.
• Outputs: No standard video outputs, as the A2 is designed for server computing, not graphics output.

NVIDIA A2 Purpose:

• Artificial Intelligence and Machine Learning: Support for accelerated operations for training and inferencing AI and ML models. Use Tensor cores to improve performance when performing deep learning tasks.

• Virtualization and Virtual Workstations: NVIDIA A2 supports virtualization technologies, making it suitable for deploying virtual workstations (VDI) using NVIDIA GRID to work with graphics-intensive applications and basic AI tasks.

• Cloud Computing: Optimized for deployment in cloud infrastructures due to low power consumption and support for large data sets for cloud applications.
• Video conferencing and media processing: A2 can be used to encode and decode video streams, particularly for video surveillance systems or video conferencing using hardware acceleration.

Key benefits:

• Low power consumption: A2 is suitable for dense deployments in data centers or in environments where energy efficiency is critical.
• Affordable performance: Despite its relatively low performance compared to more powerful A-series cards (such as the A100), the A2 provides enough power for basic AI and data processing tasks.
• Compact form factor: Suitable for servers with limited space or in high-density racks.

NVIDIA A2 Application:

• Small and medium-sized machine learning models.
• Server virtualization for office workstations.
• Media processing, video conferencing, data streaming.
• Cloud AI instances for lighter AI operations.

NVIDIA A2 is suitable for tasks that require moderate computing power with minimal power consumption, making it a popular choice for cloud and enterprise infrastructures.

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 .