trackaistocks.com
Get alerts
Home / Chips & Compute

Chips & Compute

GPUs, accelerators, CPUs, foundries

The processors that train and run AI models, and the factories that make them. Demand for AI compute starts here; everything else in the stack exists to feed, connect, power and house these chips.

CompanyTicker
NVIDIA
Designs the GPUs and systems most AI models are trained and run on.
NVDA
Advanced Micro Devices
Instinct accelerators and EPYC server CPUs; the main GPU alternative to NVIDIA.
AMD
Broadcom
Custom AI accelerators for hyperscalers and the Ethernet switch silicon that connects them.
AVGO
Taiwan Semiconductor (ADR)
Manufactures nearly all leading-edge AI chips and does the advanced packaging (CoWoS) they need.
TSM
Arm Holdings (ADR)
Licenses the CPU architecture used in many AI servers and every smartphone.
ARM
Marvell Technology
Custom silicon for cloud customers and the optical/interconnect chips inside AI data centers.
MRVL
Intel
Xeon server CPUs, Gaudi accelerators, and a foundry business seeking AI customers.
INTC
Qualcomm
On-device AI in phones and PCs through Snapdragon processors.
QCOM
Microsoft
Primary: Hyperscalers & Cloud
Azure AI infrastructure, the OpenAI partnership, and Copilot across its software.
MSFT
Amazon
Primary: Hyperscalers & Cloud
AWS rents AI compute and builds its own Trainium and Inferentia chips.
AMZN
Alphabet
Primary: Hyperscalers & Cloud
Gemini models, Google Cloud AI services, and in-house TPU accelerators.
GOOGL
Meta Platforms
Primary: Hyperscalers & Cloud
Among the largest AI capital spenders; trains Llama models for its own products.
META
Super Micro Computer
Primary: Data Centers
Builds GPU servers and racks, including liquid-cooled systems.
SMCI

Companies whose primary category is elsewhere but that also belong here are listed with their primary tag.

Latest 10-K, 10-Q and 8-K filings in Chips & Compute

Source: SEC EDGAR