List of GPUs for DELL Poweredge R760XA server

List of GPUs for DELL Poweredge R760XA server

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DELL PowerEdge R760 Server configurator

The Dell PowerEdge R760xa is a server specifically optimized for GPU-intensive workloads, offering significant capacity for graphics accelerators. It's designed for use cases that demand high computational power, such as AI, machine learning, and high-performance computing (HPC).

Here's a breakdown of the graphics accelerators that can be installed in the Dell PowerEdge R760xa, along with their intended tasks:

Supported GPU Accelerators and Their Primary Use Cases:

The R760xa supports a range of NVIDIA GPUs, typically with PCIe interfaces. The specific number of GPUs depends on whether they are single-width (SW) or double-width (DW) and their power consumption.

• NVIDIA H100 (94GB PCIe):
• Specifications: Based on the NVIDIA Hopper architecture, 94GB HBM2e memory, PCIe 5.0 interface, up to 350W TDP. Offers significant advancements in performance and energy efficiency over previous generations.
• Intended Tasks:
• Large-Scale AI/ML Training: Unparalleled performance for training massive AI models (eg, large language models - LLMs, generative AI).
• High-Performance Computing (HPC): Accelerates complex scientific simulations, data analytics, and other compute-intensive workloads.
• Data Science: Ideal for processing and analyzing vast datasets.
• Multi-Instance GPU (MIG): Enables partitioning the GPU into smaller, isolated instances to efficiently utilize resources for multiple users or tasks.
• NVIDIA L40S (48GB PCIe):
• Specifications: Features third-generation RT Cores, fourth-generation Tensor Cores, and 48GB GDDR6 memory. Designed for raw power and large-scale tasks.
• Intended Tasks:
• Generative AI: Premier platform for multi-modal generative AI pipelines (audio, speech, 2D, video, 3D generative AI applications).
• LLM Inference and Training: Accelerates training, fine-tuning, and inference of large language models.
• High-Definition Graphics and 3D Rendering: Excellent for complex visuals, game development, VFX, and real-time ray tracing.
• Large-Scale AI Model Training: Suitable for training advanced models with extensive computational power and memory bandwidth.
• Virtual Workstations (VDI): Can power demanding virtual desktop infrastructure environments.
• NVIDIA A100 (80GB PCIe):
• Specifications: Based on the NVIDIA Ampere architecture, 80GB HBM2e memory, PCIe 4.0 interface, up to 300W TDP. Features Tensor Cores and Multi-Instance GPU (MIG) technology.
• Intended Tasks:
• Large-Scale AI/ML Workloads: Designed to accelerate deep learning training and inference.
• High-Performance Computing (HPC): Speeds up scientific computing, simulations, and data analytics.
• Data Science: Efficiently handles memory-intensive data processing.
• Multi-Instance GPU (MIG): Allows for multiple, isolated GPU instances for various workloads or users.
• NVIDIA A40 (48GB PCIe):
• Specifications: Ampere architecture, 48GB GDDR6 memory, RT Cores, Tensor Cores. Often passively cooled.
• Intended Tasks:
• Virtual Workstations (VDI): Excellent for virtualizing graphics-intensive workstations for multiple users.
• 3D Rendering and Visualization: Ideal for architectural visualization, 3D graphics rendering, and virtual reality content creation due to its ray tracing capabilities.
• AI/ML (Training and Inference): Accelerates neural network computations.
• High-Performance Computing (HPC) and Scientific Research: Useful for tasks requiring high-precision computing like simulations.
• NVIDIA A2 (16GB PCIe):
• Specifications: Entry-level GPU with 16GB GDDR6 memory, low-profile form factor, and low power consumption (40-60W TDP).
• Intended Tasks:
• AI Inference at the Edge: Designed for real-time AI inference in space and thermally constrained environments, such as smart cities, manufacturing, and retail.
• Entry-Level AI/ML: Brings AI capabilities to a wider range of servers for applications like image recognition, recommendation engines, and natural language processing.
• Virtualized Graphics (Light VDI): Can support lighter virtual desktop infrastructure needs.

General GPU Support in the R760xa:

• High GPU Capacity: The R760xa is designed to support a high density of GPUs. It can accommodate:
• Up to four double-wide (DW) PCIe Gen5 x16 GPU cards (eg, H100, L40S, A100, A40).
• Or up to twelve single-wide (SW) PCIe Gen5 x8 GPU cards (eg, L4, A2).
• PCIe Gen5: Features PCIe Gen5 slots for high bandwidth and low latency, crucial for GPU communication.
• Optimized Cooling and Power: The R760xa has an advanced thermal design and robust power delivery to handle the power draw and heat generated by multiple high-performance GPUs.
• Workload Specialization: The "xa" in R760xa signifies its optimization for "accelerated" workloads, specifically distinguishing it from the general-purpose R760 server.

When configuring an R760xa, it's crucial to consult the official Dell documentation, including the Installation and Service Manual and the GPU Matrix, to ensure compatibility with specific GPU models, power supply requirements, and cooling configurations.

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