- AI Accelerator
- AI infrastructure
- Application
- Artificial Intelligence
- Central Processing Unit
- Cloud
- Components
- CPU
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- Cybersecurity
- Data Center
- Edge
- Enterprise
- Ethernet
- Firmware
- Graphics Processing Unit
- High Bandwidth Memory
- High performance computing
- Inference
- InfiniBand
- Networking
- Network Operator
- Non-volatile Memory Express
- Original Equipment Manufacturer
- PCIe
- PCI Express
- Process Control System
- Processors
- Server
- Silicon
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- Virtual Desktop Infrastructure
- X86
11 AMD appears across 11 articles in the last 90 days, most recently in MLCommons Adds End-to-End RAG and Edge Agentic Tests in MLPerf Inference v6.1 (Sep 2026).
Who is AMD?
Advanced Micro Devices, Inc. (AMD) is a semiconductor company that designs and supplies CPUs, GPUs, and related platforms for data center, client, embedded, and gaming workloads.
- x86 CPUs and accelerated processing units for client Process Control System (PCS), workstations, and mobile devices (compute infrastructure)
- Data center CPUs and Graphics Processing Unit (GPU) accelerators for cloud, Artificial Intelligence (AI), and High performance computing (HPC) environments (AI infrastructure / HPC)
- Discrete GPUs for gaming, professional visualization, and graphics workloads (graphics and visualization)
- Embedded processors and SoCs for networking, industrial, automotive, and edge systems (embedded computing)
- Platform enablement including chipsets, software stacks, and ecosystem support with OEMs, cloud providers, and ISVs (platform and ecosystem)
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More About AMD
Advanced Micro Devices, Inc. (AMD) develops Central Processing Unit (CPU) and GPU architectures used in enterprise data centers, cloud platforms, client systems, and embedded deployments. Enterprise technical teams use AMD processors as core building blocks for x86 server infrastructure, virtualized environments, AI training and inference clusters, HPC, and graphics-intensive workloads. AMD works with global OEMs and cloud service providers to offer servers and instances based on its data center CPUs and GPU accelerators, enabling organizations to select AMD-based options within standard enterprise procurement and cloud catalogs.
In the data center segment, AMD offers multi-core x86 server processors (compute infrastructure) designed for rack servers, cloud nodes, and scale-out architectures. These CPUs support common enterprise operating systems, hypervisors, and container platforms, and integrate with standard server components such as Double Data Rate (DDR) memory, PCI Express (PCIe) (I/O interconnect), and Non-volatile Memory Express (NVME) storage. For AI and HPC, AMD provides GPU accelerators (AI infrastructure / HPC) that use parallel compute architectures, High Bandwidth Memory (HBM), and interconnect technologies such as PCIe and dedicated GPU-to-GPU links. These accelerators are used with popular AI and HPC software frameworks and are deployed in nodes that connect into cluster fabrics using Ethernet or InfiniBand.
For client and commercial endpoints, AMD supplies desktop and mobile processors (client compute) combining x86 CPU cores and integrated graphics, suitable for enterprise PCS, workstations, and thin-and-light laptops. These platforms support standard enterprise management frameworks, security features implemented at the silicon and firmware level, and compatibility with mainstream operating systems and productivity applications. AMD also offers discrete GPUs (graphics and visualization) for professional workstations used in CAD, media, visualization, and simulation workflows, where ISV-certified drivers and support for APIs such as DirectX, OpenGL, Vulkan, and OpenCL are relevant.
In embedded and edge markets, AMD provides embedded processors and SoCs (embedded computing) targeted at networking equipment, industrial control, medical devices, thin clients, and other specialized systems. These products are selected for long lifecycle availability, extended-temperature operation in some cases, and integration with real-time operating systems or Linux-based stacks. They connect through standard interfaces such as Ethernet, PCIe, and various serial buses, enabling use in gateways, edge compute nodes, and industry-specific appliances.
Across these product families, AMD positions its offerings as alternatives to other x86 and GPU platforms in categories such as data center compute, AI accelerators, Virtual Desktop Infrastructure (VDI), graphics workstations, and embedded control systems. For directory and taxonomy purposes, AMD can be categorized under CPU platforms (compute infrastructure), GPU platforms (AI infrastructure / graphics and visualization), client processors (endpoint computing), and embedded processors (embedded and edge computing). Its portfolio is integrated with a broad hardware and software ecosystem, including Original Equipment Manufacturer (OEM) servers and PCS, cloud provider instances, and third-party application stacks used in enterprise and institutional environments.
Our description of AMD. Updated December 2025.
