Browsing Tag
AI Chips
10 posts
AI accelerators, advanced processors, semiconductor supply chains, and chip policy tied to artificial intelligence.
Chip Sales Just Hit a Record as AI Demand Spreads Beyond GPUs
SIA says global semiconductor sales reached $120.6 billion in May 2026, the highest monthly total it has recorded and more than double the level from a year earlier. The data suggests the AI chip boom is now lifting a wider stack of memory, networking, logic, and foundational semiconductors across every major region.
Apple’s Broadcom Deal Makes Edge AI a Supply-Chain Commitment
Broadcom’s July 6 SEC filing says it will supply custom ASIC silicon for multiple generations of Apple products through 2031. The sparse disclosure does not confirm specific Apple Intelligence hardware, but it locks in a key supplier relationship as Apple tries to make more AI run locally on phones, Macs, watches, and tablets.
AI Memory Shortage Turns Into a Fight Over Who Gets Chips
A July 1 SEMI letter warns Washington that direct intervention in memory-chip pricing or production could worsen an AI-driven shortage. The fight now reaches beyond data centers, with broadband, automotive, medical-device, retail, and consumer-electronics groups worried that HBM demand will squeeze ordinary DRAM supply.
Hong Kong’s AI Chip Trade Boom Turns Logistics Into a Policy Risk
Hong Kong re-exported $124 billion in semiconductors to mainland China in the first five months of 2026, according to Bloomberg’s review of official data. The city’s rising role as an AI-chip gateway shows why logistics, payments, and export-control exposure now matter as much as chip supply itself.
Etched’s $1B Sohu Backlog Turns AI Inference Into the Next Chip Fight
Etched says it has raised $800 million, signed more than $1 billion in customer contracts, and started production of its Sohu-based inference racks. The startup’s transformer-specialized chip is a serious bet that AI’s next hardware fight will be won on serving models, not just training them.
OpenAI’s Jalapeño Chip Puts Inference Costs at the Center of the AI Race
OpenAI and Broadcom unveiled Jalapeño, OpenAI’s first custom inference accelerator for large language models. The chip is less about replacing Nvidia overnight than controlling the cost, latency, and supply of the compute that runs products like ChatGPT, Codex, and the API.
Groq’s $650M Raise Makes AI Inference the New Cloud Fight
Groq raised $650 million to expand its AI inference cloud, with 13 data centers, more than five million developers, NVIDIA LPX integration, and a 200 MW capacity target by the end of 2027. The deal shows why serving AI models is becoming its own infrastructure market, separate from the training race.
Amazon’s Trainium Talks Push AWS Chips Beyond the Cloud
AWS is in early talks to sell Trainium AI chips for use in other companies’ data centers, a shift that could move Amazon from cloud-only accelerator provider toward a more direct role in the AI chip market. The opportunity is real, but so are the constraints: Trainium capacity is already tight, Nvidia still owns the broadest software ecosystem, and selling racks outside AWS could weaken the cloud bundle that makes custom silicon so valuable to Amazon.
SandboxAQ’s $500M CHIPS Award Moves AI Into Chip Materials
The Commerce Department awarded SandboxAQ $500 million to use physics-based AI for semiconductor materials discovery. The target is not a new chip, but the chemicals, magnets, catalysts, and backup-power systems that fabs need to run.
ASML Denies EUV Machine Reached China as U.S. Chip Controls Tighten
U.S. officials reportedly raised concerns that ASML EUV-related equipment may have reached China, a claim ASML denies. The dispute shows why chipmaking tools, servicing, and allied export controls are becoming central to the AI hardware race.