How to Escape AI's 'Open Bar' Era: Intelligent Token Routing

About WWT & AMD Partnership

As an AMD partner, World Wide Technology (WWT) helps organizations deploy AI and high-performance computing (HPC) solutions built on AMD AI technologies. From EPYC processors for general-purpose and compute-intensive server workloads to Instinct accelerators for AI training and inference, WWT helps customers align infrastructure investments with workload requirements. Every platform can be tested and validated in WWT's Advanced Technology Center (ATC) before deployment.

Together, WWT and AMD deliver scalable solutions that support AI, analytics, and HPC workloads from the data center to the edge, helping organizations evaluate, design, and optimize infrastructure for performance and efficiency.

Test your AI workload on AMD in the ATC Explore environments

Partner POV | AI Infrastructure for Enterprise: Time to Move Past the Pilot

Dell Technologies advances enterprise AI with scalable hybrid infrastructure designed for predictable performance, simpler operations and real ROI.
Partner Contribution
•Sep 29, 2026

How Intelligent Model Routing Drastically Improves Tokenomics

AMD and WWT are improving the economics of AI inference. AMD provides the open LLM Router blueprint and an inference-optimized GPU platform for serving open-weight models, while WWT applies its expertise in workload assessment and intelligent placement to deploy the architecture. Routine requests can run on enterprise-controlled models, while frontier models remain available for workloads where their additional capabilities justify the cost, helping reduce overall inference costs without limiting access to AI.
Article
•Aug 11, 2026

Partner POV | Advancing Agentic Workflows With AMD EPYC 9006 Series Server CPUs

Agentic workflows place distinct demands on infrastructure, from running agents and feeding accelerators to powering the enterprise workloads those agents rely on. The AMD EPYC 9006 Server CPUs portfolio addresses those demands with purpose-built processor families across three key CPU roles: scaling agent sandboxes, maximizing AI host-node throughput and powering general-purpose workloads.
Partner Contribution
•Sep 21, 2026

AMD Financial Stock Intelligence Agent

In this lab, you will have access to a deployment of an AMD blueprint for a Financial Stock Intelligence Agent. It is deployed on AMD Instinct MI250X instance in the ATC. Built using LangChain and powered by AMD Inference Microservices (AIM), this solution combines real-time market data, technical indicators, and large language model analysis to deliver AI-generated stock insights through an interactive web interface. Financial analysts and developers can explore how AMD's open AI stack accelerates inference for financial workflows.
Advanced Configuration Lab
2 launches

Partner POV | AMD Instinct MI350 Series and Beyond: Accelerating the Future of AI and HPC

Read about the exciting announcements Dr. Lisa Su, AMD executives, and industry luminaries unveiled at AMD's Advancing AI 2025 Keynote event
Partner Contribution
•Jun 12, 2025

Empower your organization with AMD AI solutions

WWT and AMD help organizations address AI, HPC and data center workloads with solutions designed for performance, scalability and operational efficiency. AMD EPYC processors support general-purpose and compute-intensive applications, while AMD Instinct accelerators provide the processing power required for AI training, inference and high-performance computing environments. Learn more about some of AMD's solutions:

AMD AI Solutions

AMD AI solutions are driving our smart technology in healthcare, cities, factories, retail and transforming our digital homes. AMD offers advanced AI acceleration from the data center to the edge, enabling high performance and high efficiency to make the world smarter.

AMD Data Center GPUs (AMD Instinct GPUs)

AMD GPUs deliver exceptional performance and value, enhancing AI and professional tasks with advanced RDNA architecture and Infinity Cache for superior efficiency and speed.

AMD EPYC Processors (AMD EPYC CPUs)

In the cloud and on-premises, in large and small deployments, AMD EPYC Server CPUs offer power-competitive, cost-efficient, flexible solutions for every step of your AI journey.

Available on the platforms and software you already run

AMD EPYC CPUs, Instinct GPUs and the open ROCm software stack work with Dell Technologies, HPE, Supermicro, Cisco, Aruba, VMware, Red Hat, AWS and Microsoft. WWT helps you evaluate and integrate them in the ATC's AI Proving Ground.

  • Modernize infrastructure with EPYC: Support virtualization, hybrid cloud and HPC on servers and cloud instances from leading OEM providers.
  • Scale AI with Instinct and ROCm: Build AI training and inference on Instinct GPUs from Cisco, Dell, HPE and Supermicro, using open-source frameworks and Hugging Face models through ROCm.
Learn more about some of AMD's ecosystem partners.

AMD labs & learning

WWT labs and learning paths are carefully designed to guide architects and engineers through some of AMD's latest technologies. The goal is to prepare tech professionals at each stage of their careers to keep pace with key technological innovations and evolutions. With role-based paths that demonstrate business value, WWT and AMD help teams skill up efficiently.

AMD LLM Router Blueprint

In this lab, customers explore the LLM Router deployed on AMD Instinct MI250 accelerators in the ATC. Built from the AMD Enterprise AI Suite solution blueprint catalog, the LLM Router puts a single OpenAI-compatible endpoint in front of a portfolio of models and decides, prompt by prompt, which model should answer. Lightweight requests are served by a small, fast model; hard reasoning and code generation are escalated to a large one. The result is a practical answer to the accuracy-versus-cost tradeoff that every organization running self-hosted inference eventually confronts — delivered on a fully open source AMD software stack.
Advanced Configuration Lab

AMD Financial Stock Intelligence Agent

In this lab, you will have access to a deployment of an AMD blueprint for a Financial Stock Intelligence Agent. It is deployed on AMD Instinct MI250X instance in the ATC. Built using LangChain and powered by AMD Inference Microservices (AIM), this solution combines real-time market data, technical indicators, and large language model analysis to deliver AI-generated stock insights through an interactive web interface. Financial analysts and developers can explore how AMD's open AI stack accelerates inference for financial workflows.
Advanced Configuration Lab
2 launches

Components of Compute

A server is a crucial piece of hardware in every organization's data center. Its primary role is to support the success of an organization's web-tier, mid-tier, database, and AI application stack from a networking, processing, and storage standpoint regardless if the application is deployed within a natively installed operating system, in a virtual machine, or as a cloud-native or edge-native application. The server components that make up this hardware system can vary depending on the specific needs and requirements of the organization. The main components commonly found in a server include CPU (central processing unit), Memory, Network Interface Cards, Storage Devices, and in some cases accelerators like DPUs (data processing unit) and GPUs (graphical processing unit). In this Learning Path engineers can learn about the latest solutions on the market today that they can integrate into their solutions to help drive their business forward most effectively and efficiently.
Learning Path

AI Proving Ground

Welcome to the AI Proving Ground — the industry's first and only multi-OEM AI testing environment housed within the ATC. Compare, test and train AI solutions with a growing list of composable labs featuring the latest reference architectures, hardware and software from the leading AI innovators.
ATC

WWT x AMD FAQs

WWT is an AMD partner delivering AI solutions for enterprise — EPYC CPUs, Instinct GPUs and hands-on testing in the ATC. Explore common questions.

Three things: core density against your actual workload profile, memory bandwidth per socket and total cost per rack rather than per chip. EPYC's high core counts favor virtualization and compute-dense workloads, but the advantage varies sharply by application. WWT benchmarks EPYC configurations against customer workloads in the Advanced Technology Center (ATC) before purchase, so the comparison against Intel Xeon is measured on your software rather than a vendor datasheet.

Helios is AMD's rack-scale AI infrastructure architecture, aimed at deployments where power, cooling and rack density are the binding constraints rather than raw accelerator count. It matters most to enterprises planning AI factory buildouts, where the rack is the unit of design. WWT has published a partner analysis of the Helios architecture and evaluates AMD rack-scale configurations in the AI Proving Ground within the ATC.

ROCm now reaches roughly 90-95% of H100 throughput for standard LLM inference on PyTorch, vLLM and SGLang. The remaining gap is in specialized libraries: many competitors have no ROCm equivalent, and their custom kernels require manual porting. If your stack is standard, AMD's cost advantage holds; if it depends on competitor-only libraries, it does not. WWT tests both paths against customer code in the ATC's AI Proving Ground.

Platform selection, workload validation and multi-OEM deployment. AMD sells silicon; the enterprise decision is which configuration, from which OEM, for which workload. WWT holds AMD platforms in the ATC — including an LLM Router and an agent workload running on Instinct MI250 and MI250X accelerators — so teams can benchmark before committing capital, then deploy through Dell, HPE, Cisco or Lenovo.

Memory capacity per node usually decides it. AMD Instinct MI350 carries 288GB of HBM3e at 8TB/s against 180GB on a competitors GPU — enough to serve very large models on a single node instead of splitting across GPUs, which is where AMD's cost-per-token case comes from. Some competitors still leads on low-latency inference. Microsoft Azure and Oracle Cloud Infrastructure run Instinct in production. WWT benchmarks both in the AI Proving Ground.

Start your journey today

Learn more about WWT's AMD capabilities, speak with an expert or take advantage of what we have in our labs.

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