ENGLISH OVERVIEW
GPUs and AI Accelerators
Compute performance depends on more than the processor
GPUs process many operations in parallel. AI accelerator is a broader category that also includes purpose-built chips. Useful performance depends on memory capacity and bandwidth, communication, software and cooling as well as compute units.
Memory and packaging enable the chip
Some high-performance accelerators place HBM beside logic for a wide memory interface. Advanced packaging provides the dense connections.
- The packaged processor then becomes part of a module or board alongside CPU, networking, storage and power or cooling systems.
Compare complete workloads
Hold model, numerical precision, batch size, software version and power conditions constant before comparing throughput and latency.
- Peak compute alone cannot describe the speed of an actual application.
Connected industry roles
Links describe supply, classification, technology or services. They do not establish transactions between individual companies.
CoWoS Advanced Packaging ↔ GPUs and AI Accelerators
Packaging-integration option
Some high-performance GPUs and AI accelerators use this packaging; not all GPUs use CoWoS.
TSMC | CoWoS-S/R/LHigh-Bandwidth Memory → GPUs and AI Accelerators
High-bandwidth memory
Some high-performance GPUs use HBM; capacity and bandwidth depend on configuration.
NVIDIA | H200: a compute and HBM system exampleGPUs and AI Accelerators → AI Servers
Computing component
GPUs and accelerators combine with CPUs, memory, networking, power and cooling in AI systems.
NVIDIA | DGX B200 hardware componentsIC Design ↔ GPUs and AI Accelerators
Chip-design role
Connects design with a functional product; does not identify a particular chip's designer or foundry.
Synopsys | Electronic design automationSemiconductor Packaging ↔ GPUs and AI Accelerators
Product-specific packaging
Products use different packaging; not every GPU or SoC uses CoWoS.
Amkor | Semiconductor package typesCustom 3D memory integration ↔ GPUs and AI Accelerators
AI logic and memory integration
a role relationship, not a contract among all listed companies.
PSMC | COMPUTEX 2026: 3D AI Foundry and ecosystem partnersGPUs and AI Accelerators → Compute trays and server modules
Processors and accelerator modules
Functional or process relationship; not a contract among every company listed.
NVIDIA | MGX architecture and system partnersGPUs and AI Accelerators → Desktop personal computers
Optional graphics processing
Product function and industry roles; no company-to-company purchasing contract is asserted.
AMD | Processors and graphicsGPUs and AI Accelerators → Notebook computers
Model-dependent GPU configuration
Product function and industry roles; no company-to-company purchasing contract is asserted.
AMD | Processors and graphicsGPUs and AI Accelerators → Desktop graphics cards
Graphics chip integration
Product function and industry roles; no company-to-company purchasing contract is asserted.
ASUS | Graphics cardsCompany examples & product roles
This topic covers GPUs and custom AI accelerators; ASIC design services and GPU brands have different commercial roles.
GUC ↗
Custom ASIC design services
AI/HPC ASIC design and advanced-packaging integration services; not a general-purpose GPU brand.
Official product / role sourceNVIDIA ↗
GPU and computing platforms
Data-center GPUs and AI computing platforms.
Official product / role sourceAMD ↗
GPUs and AI accelerators
Instinct accelerators for AI training, inference and high-performance computing.
Official product / role source