How AHEAD Helps Deploy NVIDIA AI Infrastructure
There are massive opportunities for the financial services sector to leverage AI across their lines of business. While AI offers transformative potential, deploying it at scale comes with significant challenges. Capital markets AI workloads require low-latency computing on an optimized, scalable platform to bring AI use cases to market.
NVIDIA® DGX SuperPOD™ offers an ideal AI infrastructure platform for financial services companies to integrate AI and high-performance computing (HPC) into their business.
AI in Capital Markets
From algorithmic trading and risk management to real-time data needs and automated compliance, AI has enormous potential for capital markets. Many financial institutions are already exploring use cases that offer low-latency connectivity, cybersecurity, and compliance.
The industry also tends to have substantial data gravity, IP sensitivity, and regulatory considerations that will keep a dominant portion of these AI workloads on-premise. This often requires optimizing existing data centers to handle more demanding computing workloads.
Exploring NVIDIA DGX SuperPOD
NVIDIA DGX SuperPOD provides a high-level blueprint for how to build scalable, performant, and reliable AI infrastructure, powered by NVIDIA DGX systems. The reference architecture outlines a full-stack data center platform that includes industry-leading compute, storage, networking, software, and infrastructure management optimized to work together and provide maximum performance at scale.
- Ease of use: NVIDIA DGX SuperPOD is a ready-to-run, turnkey supercomputer with high-performance compute, networking, storage, and software integration.
- Scalability: NVIDIA DGX SuperPOD scales to tens of thousands of NVIDIA GPUs to handle training and inference for state-of-the-art AI models.
- Customization: NVIDIA DGX SuperPOD hardware and software, as well as integration and operational requirements, are expandable to match the scale of the workload.
- Developer Productivity: NVIDIA DGX SuperPOD includes enterprise-grade cluster and workload management software, libraries that accelerate infrastructure, and an operating system optimized for AI workloads.
- Reliability: NVIDIA DGX SuperPOD is extensively tested and pushed to the limits with real-world enterprise AI/HPC workloads to ensure application performance.
There is also an adjacent NVIDIA DGX BasePOD reference architecture, which provides smaller-scale infrastructure for enterprises to build and scale AI. Some organizations choose to start with NVIDIA DGX BasePOD before scaling into an NVIDIA DGX SuperPOD.
Deploying AI Infrastructure from NVIDIA with AHEAD
Having an AI infrastructure partner you can trust allows you to concentrate on what applications and innovative business capabilities you want to build. AHEAD is a leader in AI with deep technical expertise in designing, building, and operationalizing AI and HPC infrastructure.
AHEAD has successfully designed and implemented several NVIDIA DGX SuperPOD deployments in the financial services industry.
Here’s how AHEAD approaches an AI infrastructure engagement:
- Defining Requirements: Our AI experts work with NVIDIA and your team to determine the core elements of your NVIDIA DGX SuperPOD. Then we consider other customizations like security, data protection, and compute that may be needed, as well as the upstream network design.
- Rack Integration: AHEAD has a team of experts in our Foundry™ rack integration facility that will work with your data center team or co-location provider to design how every piece of equipment will be racked and cabled in the real-world space based on the NVIDIA DGX SuperPOD reference architecture.
- Floor Plan Design: It’s important to make sure the space is a perfect fit for a custom NVIDIA DGX SuperPOD configuration. This means AHEAD will review your environment to ensure it meets all the requirements for deployment.
- Rack Elevation & Cabling Plan: All key components are designed at the same time to avoid project delays later on. This detailed design extends to all components adjacent to NVIDIA DGX SuperPOD, including storage, HPC servers, security devices, and more.
- Deployment: Once the final design is agreed on, AHEAD Foundry will build and deliver the NVIDIA DGX SuperPOD, with AHEAD’s Hatch® platform providing full visibility into the supply chain for all procurement. Engineers and technicians from AHEAD and NVIDIA can be hands-on in the data center to take care of all the cross-rack cabling, performance testing, bring up, and other physical tasks to ready the technology for operations.
- Onboarding & Management: After physical implementation and deployment, AHEAD can also provide oversight and accountability with ongoing program and lifecycle management for your NVIDIA DGX SuperPOD.
AHEAD for NVIDIA
In short, AHEAD has deep expertise in AI infrastructure and is experienced with NVIDIA technologies. Our team of data scientists, architects, engineers, and NVIDIA AI advisors collaborate with leading enterprises to implement world-class accelerated computing solutions. That’s why we’ve been named 2025 NVIDIA Rising Star Partner of the Year.
We have the scale to stand up and manage NVIDIA DGX SuperPOD pre-integrated solutions through AHEAD Foundry and simplify asset management for clients with our AHEAD Hatch software and our professional and managed services to support full platform operations.
More specifically, AHEAD Foundry is our comprehensive integration facility for building, configuring, testing, and validating deployment capabilities using a plug and play approach. In addition, our full-stack integration facility with liquid-cooling capacity can support NVIDIA GB200 NVL72 systems and future chip generations requiring increased density.
The AHEAD Hatch platform for IT intelligence can track all components, design documentation, and the full asset lifecycle. Hatch also provides consolidated data at the site level for your infrastructure and can easily integrate with ServiceNow and other leading enterprise platforms to share data in real time. This accelerates every aspect of planning, executing, and supporting your AI infrastructure initiatives.
Contact AHEAD for your on-premise AI infrastructure and to learn more about deploying NVIDIA DGX SuperPOD.
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