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TechWire Asia

AI Appreciation Day 2026 puts trust and governance in focus NVIDIA pours its full stack into Japan. The flip side of its China lockout? Malaysia's digital regulations are becoming a real cost for its startups Malaysia's AI data center vision: How EdgeConneX is building for the future Southeast Asia tech funding doubled to $7.4 billion. One company took most of it SK Hynix's Nasdaq listing raises $26.5 billion to fund Korea's AI memory expansion OpenAI launches GPT-5.6 for coding, cyber and science Meta rolls out Muse Image AI model for Instagram, WhatsApp, and advertisers Malaysia businesses face AI and password cybersecurity risks How AI workloads will test APAC mobile networks Enterprise AI costs don't have to spiral, argues ManageEngine Microsoft launches $2.5B Frontier Company for enterprise AI FIFA World Cup: How To Win Fans in APAC With Technology Kanga enters a new phase of global growth and launches Kanga Global Vertiv ramps up manufacturing in Johor's tightening data centre market U Mobile completes migration to own ULTRA5G network after DNB exit Anthropic Claude models launch in Microsoft Foundry on Azure Asia built the AI infrastructure boom. The BIS just flagged who's exposed if it stalls. Why Apple is lobbying Washington to buy China’s memory chips Nvidia-backed Firmus plans 170,000-GPU Batam AI data centre Taiwan robot makers march into humanoid systems IBM claims world’s first sub-1 nm chip technology using nanostack design Can Alibaba bridge Malaysia’s SME talent gap via agentic AI for business? Huawei’s new tech explains why mobile AI network tech is no longer optional Apple-Intel chip deal faces years-long production timeline China beats US in TOP500 ranking with world’s fastest supercomputer The global memory squeeze hits the Mainland China PC market, leading to a decline IBM joins OpenAI cyber program for vulnerability detection Is the Shopee ChatGPT integration the blueprint for the future of Southeast Asian e-commerce? How the global AI boom dropped a record RM1.127 trillion trade windfall on Malaysia Philippines expands Google Cloud public sector AI partnership South Korea takes a positive spin on AI Apple's price hikes trace the memory chip shortage straight back to Asia Why enterprises need clearer accountability for AI agents Google sues Chinese network over AI text phishing scams AI Won't Fix Broken Personalisation: Braze Report Reveals How Media and Entertainment Can Drive Real Success Across APAC Anthropic builds out Claude as OpenAI and Google stay ahead How APAC firms are handling software supply chain security Meta Business Agent turns WhatsApp into a salesperson, and Southeast Asia will decide if it works CrowdStrike: Chinese hackers lead tech sector espionage threats NVIDIA deals in South Korea cover AI memory, cloud and robotics Alibaba Cloud's Johor region launch comes packaged with an agentic AI push in Malaysia Digital Realty Malaysia is open and already looking beyond Cyberjaya AI’s invisible metal: Why tin demand is surging, and supplies are running thin WeChat is opening up to AI agents, and Southeast Asia’s super apps should be nervous TNG eWallet is eyeing agentic payments and its CEO sees Malaysia’s regulatory climate as encouraging AI data centres could double power and water use by 2030 TNG eWallet is no longer just a payment app, and the numbers prove it Nvidia GTC Taipei recap: RTX Spark, Vera, data centres and more Alipay wants AI agents to handle your payments. But who’s really in control? Huawei’s Her’s Law eyes AI chips as China reduces Nvidia reliance Kong Konnect now available in Singapore AWS is quietly building one of Southeast Asia’s most ambitious green data centre footprints China launches offshore wind-powered underwater AI data centre Has Huawei just rewritten the rules of chip design? OpenAI Daybreak and the patching cycle AirTrunk to invest MYR12 billion in Johor data centres China orders Meta to unwind Manus AI acquisition Kong reveals ‘agent-to-agent communication’ critical for Asian enterprises Huawei picked Malaysia for its biggest AI move outside China. Anwar told you exactly why. DeepSeek launches V4 model adapted for Huawei AI chips MATCH Act passes first hurdle–targeting semiconductor tools, not just chips The real cost of AI in APAC isn’t the software licence–it’s the mess underneath Cisco shows Universal Quantum Switch prototype to connect quantum systems The global smartphone market just had its worst quarter in two years, and memory is to blame Google Cloud introduces AI agent platform and new TPU chips at Next 2026 Meta deploys tracking tool to train AI on employee workflows Tuned Global’s service manipulation detector for streaming clients and rights holders Malaysia is rushing into AI faster than anyone. Its governance gap is the price Apple’s CEO transition puts a hardware engineer in charge–at exactly the right moment Memory shortage to persist through 2027 as supply lags demand xAI provides GPU infrastructure to Cursor for AI model training Amazon Leo just gave Southeast Asia’s satellite internet market a second player Meta extends Broadcom deal to develop AI chips Can Malaysia Build a USD1 Trillion Economy on the Strength of Its Geography? How will MyDigital ID progress in Malaysia? Southeast Asia leads the world in AI optimism. Its governance frameworks are nowhere near ready. A chatbot is not an AI strategy Japan is building physical AI it controls–and its biggest companies are all in India is leading Asia’s agentic AI adoption race. The rest of the region is still catching up. Ericsson frames 6G as an intelligent fabric Mandatory AI literacy: China joins the UAE and India. Where is Southeast Asia? AWS AI revenue hits US$15 billion. Andy Jassy says the hard part is keeping up with demand Minor Hotels builds data and AI platform with Google Cloud The MATCH Act would cut off China’s last chipmaking lifeline–Asia is already feeling it Amperity expands to Australian AWS Regions and invests in local talent Chinese memory giants are scaling fast, and the AI boom is giving them cover Intel joins Musk’s Terafab AI chip project with Tesla and SpaceX TikTok’s second data centre in Finland a European push Custom AI chips, 3.5 gigawatts, and a quiet SEC clause: the Broadcom deal explained Kong names Bruce Felt as chief financial officer DeepSeek V4 points to growing use of Huawei chips in AI models Microsoft to invest $10 billion in Japan for AI and cybersecurity Which CRMs offer the most powerful reporting tools?
Tesla plans to use Intel 14A chips for Terafab project
Muhammad Zul · 2026-04-23 · via TechWire Asia
  • Tesla plans to use Intel 14A chips for Terafab.
  • Terafab targets large-scale AI chip production.

Tesla plans to use Intel’s next-generation 14A manufacturing process to produce chips for its proposed Terafab facility in Austin, according to Reuters, citing comments by Elon Musk. The site is intended to serve as an advanced AI chip complex supporting the company’s robotics and data infrastructure efforts.

Intel 14A follows the company’s 18A process as part of its angstrom-era manufacturing roadmap. The node builds on RibbonFET, a gate-all-around transistor design, and extends backside power delivery using PowerVia-derived technology, which routes power through the rear of the wafer to improve routing efficiency.

Intel is currently ramping production using its 18A process at its Arizona facilities as it prepares for future nodes like 14A.

The arrangement would represent the first major external customer for Intel’s 14A process. The company has previously stated it was in discussions with potential clients but had not identified any. Intel declined to comment on Musk’s remarks.

Musk said the company selected the process based on its expected maturity. “Given that by the time Terafab scales up, 14A will be probably fairly mature or ready for prime time,” he said, adding that “14A seems like the right move.”

Foundry competition and costs

Intel’s foundry business remains smaller than TSMC, which leads the market in third-party chip manufacturing by revenue and customer base. In the fourth quarter of 2025, TSMC reported US$33.7 billion in foundry revenue, compared with US$4.5 billion for Intel Foundry, according to industry estimates.

Intel Foundry primarily manufactures chips for its own products, including Xeon server processors, while also providing packaging services for external customers. The company is expanding its contract manufacturing operations and is seeking external clients for advanced nodes like 14A, which are designed for both internal and third-party chip production.

Its external customer base remains limited, with most production still tied to internal product demand.

Leading-edge chip manufacturing is currently concentrated among three companies – Intel, TSMC, and Samsung – with the ability to produce advanced logic chips. TSMC chief executive C. C. Wei said during a recent earnings call that the company views Intel as a “formidable competitor” in the foundry market.

Intel’s 14A process is also designed to incorporate High-NA extreme ultraviolet (EUV) lithography tools from ASML, which offer higher resolution patterning compared with current EUV systems.

ASML’s High-NA EUV systems are more expensive than current-generation tools, with unit costs estimated at around $380 million compared with about $235 million for existing EUV systems, contributing to higher per-wafer production costs.

The 14A node is expected to deliver improvements in performance per watt compared with 18A, while also reducing power consumption. Intel has said the higher cost of the process makes securing external customers necessary to justify development and production.

Shares in Intel rose 3.6% in extended trading following the announcement. Tesla’s stock moved slightly lower after hours despite the company increasing its capital expenditure plans tied to future projects.

Terafab scale and infrastructure

Intel joined Tesla and SpaceX earlier in April in relation to the Terafab project. The project is intended to manufacture processors for autonomous vehicles, humanoid robotics, and data centre systems.

Musk has outlined plans for two fabrication facilities in the Terafab complex. One is expected to support chips for vehicles and robotics, while the second is intended for space-based data centre infrastructure.

Key operational details remain undisclosed, including funding arrangements, equipment sourcing, and timelines for deployment. Musk has stated that the facility could eventually produce one terawatt of computing capacity annually, compared with roughly half a terawatt currently estimated in the US.

In this context, a terawatt of compute refers to overall processing capacity not electrical output. Achieving this level of compute would require large-scale semiconductor fabrication, advanced chip packaging, and deployment in data centre infrastructure.

Advanced packaging is used to integrate multiple chip components in a single system.

Leading-edge semiconductor fabrication facilities typically cost between $20 billion and $30 billion each, depending on capacity and tooling requirements. Analysts have estimated that building capacity at that scale would require between $5 trillion and $13 trillion in capital expenditure, based on figures from Bernstein.

Analyst views

Industry analysts said the agreement could support Intel’s process development. Ben Bajarin of Creative Strategies said early design partners can help refine leading-edge manufacturing technologies.

Bajarin said Intel’s 14A technology could “turn out to be a bigger deal for Intel than folks thought,” adding that having multiple early design partners helps refine leading-edge processes.

Seaport Research Partners analyst Jay Goldberg said securing a customer is more than project timing. “Having a customer is more important than the timing,” Goldberg said, adding that even supplying chips for Tesla’s current operations could represent meaningful production volumes. “It’s not equivalent to Apple or Nvidia… But it’s a real customer. It can be real volumes.”

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