It’s the rare workplace that runs on a homogeneous fleet of devices and services. Instead, most enterprises are powered by diverse infrastructure, creating complexity and management headaches for CIOs as they scale AI workloads to meet changing business needs.
On one hand, shifting work patterns have made it more difficult to manage endpoint devices, with hybrid and remote models now being firmly established. As AI tools and agentic workflows rapidly take hold, users need new configurations and software updates, which accelerates standard refresh cycles.
According to the HP Work Relationship Index 2025, having access to the right technology — be it the latest devices, collaboration platforms, or AI tools — is crucial to a positive employee outlook. Providing tool choice helps boost employee optimism, drives productivity, and improves retention. In fact, 69% of the survey respondents said they were excited about how technology will continue to improve their work life.
Providing choice may be good for business, but it certainly creates management challenges for IT. Especially as the number and variety of endpoints continue to scale to include laptops, printers, mobile phones, internet of things (IoT) devices, and more. “Having a mix of devices inside the environment with different CPUs, BIOSs, and security configurations makes life very complicated for IT,” notes Inaki Zurbano, Personal System Quality and System Management at HP.
A simpler way to manage the device life cycle
As part of a long-standing partnership, HP and AMD work closely to ensure that their platforms are aligned across the entire device life cycle, not just at the component level.
“Instead of optimizing one layer in isolation, the focus is on how hardware, platform capabilities, and life cycle management work together in real enterprise deployments,” says Drea Swanson, field applications engineer at AMD. “For IT leaders, that means less friction across procurement, deployment, and operations.”
The partners offer several solutions and services to help organizations streamline and simplify their diverse IT ecosystems. These include:
Scaling modern AI workloads. Fast-moving AI development requires instant access to compute power at scale. With HP Z Boost, organizations can tap into idle AMD and other GPU horsepower in workstations they already own and share those resources. This gives engineers and data scientists access to GPU horsepower when they need it to train and develop AI models without buying new hardware or compromising performance. HP AI Studio, a secure containerized platform, enables data scientists to build, train, and deploy models locally with prebuilt blueprints. The result: Users are empowered to advance AI innovation without placing additional management burdens on IT.
Empowering anywhere collaboration. Managing and supporting a hybrid workforce is simplified with HP Anyware. This remote virtual desktop solution enables workers to create, collaborate, and work securely from anywhere within digital workspaces — even graphics- and data-intensive workloads that require GPUs such as those available from AMD. With the AI-enabled HP Workforce Experience Platform (WXP), IT organizations can enhance the employee experience by using data-driven insights that allow for proactive resolution of IT issues and cyberthreats.
Scale resources to meet business needs. HP Managed Services delivers state-of-the-art devices and services through a flexible as-a-service model that enables organizations to scale up or down as needed. IT organizations can procure AMD advanced HP hardware and services for a predictable payment while reducing time spent on PC deployment and reactive management.
The diversity of the modern IT ecosystem is complex, but managing the full life cycle doesn’t have to be.
Learn more about how HP and AMD can help scale your business for growth.