Dell PowerEdge XE7740 and XE7745 server with NVIDIA RTX Pro 6000 Blackwell

Dell PowerEdge XE7740 and XE7745 server with NVIDIA RTX Pro 6000 Blackwell

The Dell PowerEdge XE7740 and XE7745 servers are purpose-built for demanding AI, graphics, and compute-intensive workloads, particularly when equipped with the NVIDIA RTX Pro 6000 Blackwell Server Edition GPUs.

Here's a breakdown of their technical characteristics and intended tasks:

Dell PowerEdge XE7740 and XE7745 Servers

These are 4U rack servers designed for high-performance computing (HPC) and enterprise AI. The key distinction between the XE7740 and XE7745 lies in their processor architectures:

• Dell PowerEdge XE7740: Powered by dual Intel® Xeon® 6 series processors (up to 96 cores per processor).
• Dell PowerEdge XE7745: Powered by dual AMD 5th Generation EPYC 9005 Series processors (up to 192 cores per processor).

Both servers share many other characteristics:

Key Technical Characteristics (Common to XE7740 and XE7745):

• GPU Acceleration:
• Support for up to 8x PCIe Gen 5 x16 double-wide (DW-FHFL) GPUs (up to 600W each).
• Alternatively, support for up to 16x PCIe Gen 5 x16 single-wide (SW-FHFL) GPUs (up to 75W each). This flexibility allows for optimizing for inferencing GPU density or high-power accelerators.
• Memory:
• XE7740: 32 DDR5 DIMM slots, supporting up to 3 TB RDIMM at speeds up to 6400 MT/s (future releases may support 4TB).
• XE7745: 24 DDR5 DIMM slots, supporting up to 2.3 TB RDIMM at speeds up to 6000 MT/s (future releases may support 3TB at 6400 MT/s).
• Storage:
• Front bays: Up to 8 x EDSFF E3.S Gen5 NVMe (SSD) with a maximum of 122.88 TB.
• Internal Boot: Boot Optimized Storage Subsystem (BOSS-N1 DC-MHS) with HWRAID 1, 2 x M.2 NVMe SSDs.
• Networking:
• 8 additional front-serviceable PCIe Gen 5.0 slots for high-performance, low-latency AI cluster backend network interfaces.
• Integrated OCP NIC 3.0/3.1 ethernet module for flexible front-end ethernet integration.
• Cooling: Air-cooled 4U chassis with high-performance fans for optimal airflow and dense GPU configurations.
• Power Supplies: 3200W Titanium hot-swap redundant power supplies.
• Management: iDRAC10 (iDRAC Direct, RESTful API with Redfish), Dell OpenManage portfolio for comprehensive system management and automation.
• Security: Chassis Intrusion Detection, Cryptographically signed firmware, Secure Boot, Silicon Root of Trust, TPM 2.0.
• Form Factor: 4U rack server.

NVIDIA RTX Pro 6000 Blackwell Server Edition GPU

The NVIDIA RTX Pro 6000 Blackwell series represents a significant leap in GPU technology, building on the Blackwell architecture. The Server Edition is specifically designed for data center environments.

Key Technical Characteristics of RTX Pro 6000 Blackwell Server Edition:

• Architecture: NVIDIA Blackwell architecture.
• GPU Memory: 96 GB GDDR7 with Error-Correcting Code (ECC), offering double the capacity of the previous Ada generation. This provides significantly higher memory bandwidth (1,792 GB/s).
• Power Consumption: 400-600W (Server Edition).
• Graphics Bus: PCIe Gen 5 x16, enabling faster data transfer.
• Cooling: Passive (designed for server environments).
• Cores: Features next-gen Tensor Cores for accelerated AI operations (FP8, BF16, INT8 performance), fourth-gen RT Cores for hardware ray tracing, and new Streaming Multiprocessors with Neural Shaders.
• Scalability: Supports NVLink Gen 5 for faster data sharing between multiple GPUs, crucial for large model parallelism.
• Multi-Instance GPU (MIG): Each RTX Pro 6000 can be partitioned into up to four fully isolated instances (24GB each) to run simultaneous AI and graphics workloads.
• Security: First universal GPU to enable secure AI with NVIDIA Confidential Computing, protecting AI models and sensitive data.

Intended Tasks and Use Cases for Dell PowerEdge XE7740/XE7745 with RTX Pro 6000 Blackwell

These servers, especially when paired with the RTX Pro 6000 Blackwell Server Edition GPUs, are designed for the most demanding AI, graphics, and data-intensive workloads in enterprise and data center environments. Their primary applications include:

1. AI Inferencing: Executing trained AI models for real-time predictions and insights across various industries (e.g., computer vision, natural language processing, recommendation systems). The high GPU density and accelerated AI performance are ideal for deploying AI at scale.
2. AI Model Fine-tuning: Adapting pre-trained AI models to specific datasets and tasks. The ample memory and compute power of the GPUs facilitate efficient fine-tuning of large language models (LLMs) and other complex AI models.
3. AI-powered HPC (High-Performance Computing) Applications: Accelerating scientific simulations, data analytics, and complex computational tasks that benefit from massive parallel processing capabilities of GPUs. This includes fields like genomics, drug discovery, physics simulations, and financial modeling.
4. Generative AI: Powering the creation of new content such as images, videos, text, and 3D assets. The Blackwell architecture's advancements in Tensor Cores are specifically designed for these types of workloads.
5. Professional Visualization and 3D Rendering: For industries like media and entertainment, architecture, engineering, and manufacturing, these servers can handle complex 3D rendering, digital twin development, and virtual reality/augmented reality applications.
6. Data Science and Analytics: Processing and analyzing large datasets, enabling faster insights and decision-making for data scientists.
7. Agentic AI: Enabling sophisticated AI agents that can perform complex tasks, interact with environments, and learn from experience.
8. Enterprise AI Infrastructure: Providing a robust and scalable platform for deploying and managing a wide range of enterprise AI applications, offering flexibility for evolving AI workflows.

In essence, the Dell PowerEdge XE7740 and XE7745 servers with NVIDIA RTX Pro 6000 Blackwell GPUs are built to be the backbone of modern, AI-driven enterprises, offering unparalleled performance, scalability, and efficiency for the most challenging computational and graphics workloads.

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