Dell at SC25: Accelerating Scalable AI and HPC with Unified Compute and Networking
The demand for Artificial Intelligence (AI) and High-Performance Computing (HPC) is rising faster than ever. From healthcare and finance to research and manufacturing, organizations are using AI and HPC to analyze massive data sets, run complex simulations, and unlock new insights.
To support this rapid growth, Dell Technologies is working closely with NVIDIA to deliver powerful, easy-to-deploy infrastructure solutions. At SC25, Dell introduced new advancements designed to help organizations scale AI and HPC faster, more efficiently, and with less operational complexity.
Built for Scale: A New Approach to HPC Systems
Modern AI and HPC workloads need more than powerful servers—they require systems designed to scale smoothly and perform reliably at high density.
The Dell PowerEdge XE8712 is designed specifically for demanding AI training and HPC simulations. It brings together compute, networking, and cooling into a single rack-scale system that is factory-tested and ready to deploy.
Key benefits include:
- High density in less space, allowing organizations to run more jobs per rack
- Rack-scale architecture built on advanced NVIDIA platforms for accelerated computing
- Pre-configured integrated racks, reducing deployment time and simplifying expansion
- Service-friendly design, making maintenance faster and reducing downtime
This approach helps organizations grow their AI and HPC environments without adding unnecessary complexity.
Keeping Performance High with Advanced Liquid Cooling
AI and HPC workloads generate intense heat. If not managed properly, heat can limit performance and drive up energy costs. That’s why cooling is a critical part of modern data center design.
The PowerEdge XE8712 uses Dell PowerCool liquid cooling technology to maintain stable performance under heavy workloads. This includes rack-level cooling designed to handle extreme power demands.
Highlights include:
- High-capacity liquid cooling to support demanding AI and HPC workloads
- Smart monitoring and leak detection for better visibility and protection
- Improved energy efficiency, helping reduce cooling costs compared to air-based methods
By controlling heat more effectively, organizations can run systems at peak performance while lowering operational costs.
High-Speed Networking That Keeps GPUs Busy
Compute power alone is not enough. AI and HPC environments also need fast, reliable networking to move data quickly between GPUs and nodes. Any network delay can slow down training and leave valuable resources underused.
Dell now offers Enterprise SONiC support for NVIDIA Spectrum-X Ethernet, creating a unified networking solution optimized for AI and HPC.
Together, these technologies provide:
- Low-latency, lossless Ethernet networking
- Efficient data flow for GPU-intensive workloads
- Simplified network management with open, flexible software
- Consistent performance for distributed AI training and simulations
This combination helps ensure GPUs stay fully utilized, reducing training time and improving overall efficiency.
Advancing AI and HPC—Together
The collaboration between Dell Technologies and NVIDIA goes beyond individual products. It focuses on delivering complete, integrated solutions that are easier to deploy, manage, and scale.
By combining advanced servers, intelligent cooling, and high-performance networking, Dell and NVIDIA help organizations:
- Accelerate AI research and innovation
- Run complex simulations more efficiently
- Build future-ready data centers with confidence
As AI and HPC continue to evolve, these joint solutions are designed to help organizations move faster, work smarter, and solve bigger challenges—today and in the future
Silicon Computing Ltd is the authorized solution provider of Dell Technologies