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Interconnects AI
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- 1Intel Reports EMIB Wafer Utilization Above 90% Amid AI Chip DemandโผIntel Says EMIB Wafer Utilization Tops 90% as AI Chips Drive 70-Bridge Era
Intel says utilization of its EMIB advanced packaging wafers has surpassed 90%, as growing AI accelerator demand pushes designs toward a 70-bridge interconnect era. The company is touting high capacity usage of its packaging technology as a sign that complex, high-bandwidth AI chips are increasingly relying on its embedded multi-die interconnect bridge approach for chiplet-based products.
- 2Credo and Oracle Push Optical Transceiver Telemetry Standard with OCPโCredo and Oracle Advance Optical Transceiver Telemetry Standardization with OCP Community
Credo Technology Group and Oracle are working with the Open Compute Project community to advance standardization of optical transceiver telemetry. The collaboration aims to create common specifications for monitoring high-speed optical interconnects used in large data centers, improving interoperability and diagnostics across vendors' networking hardware.
- 3APC pushes standards to speed up photonics manufacturingโAPC says let there be light, with standards to speed up photonics manufacturing
The Advanced Photonics Coalition is promoting a set of manufacturing standards aimed at making photonics โ using light instead of copper for data transfer in chips and data centers โ cheaper and easier to produce at scale. The move targets a key bottleneck as AI-driven data center demand accelerates the shift toward optical interconnects, and industry watchers are debating whether standardization will genuinely lower costs and speed adoption.
- 4Marvell's $115bn Lumentum bid targets AI data bottleneckโFaster AI chips need connections that can keep up. When processors wait for data, computing capacity sits idle. Chip des
Chip designer Marvell has proposed a $115 billion acquisition of optical manufacturer Lumentum, a deal that would bring chips, lasers and optical links under one roof. The move aims to solve a growing bottleneck in AI computing: faster processors are often left idle waiting for data, so high-speed optical connections are becoming as critical as the chips themselves.
- 5UMC Lands Major Chinese Orders for AI Optical ChipsโผTaiwanese UMC Secures Major Orders from Chinese Firms for AI Optical Chips
Taiwan's chipmaker UMC has secured major orders from Chinese firms for AI optical chips, according to Businesskorea. The deal signals growing demand for optical interconnect technology used in artificial intelligence data centers, and highlights continued business ties between Taiwanese contract chipmakers and Chinese customers despite geopolitical tensions and export controls. Industry watchers will be looking at how cross-strait supply chains absorb rising AI-driven chip demand.
- 6Palomino lands first hyperscaler order for AI optical chipsโผPalomino secures first hyperscaler order for AI optical chips
Palomino has won its first hyperscaler order for its AI optical chips, a milestone that moves the company from development into volume production for large data centre customers. The deal signals growing demand for optical interconnect technology as cloud operators build out AI infrastructure, and will be watched as an early test of whether Palomino can scale to meet hyperscaler volumes.
- 7Marvell and Lumentum compared in AI optics raceโผHow Marvell and Lumentum stack up in AI's optical race
A Reuters analysis compares Marvell Technology and Lumentum Holdings, two chip and optical component makers, as competition intensifies to supply the optical interconnects and photonics needed for AI data centres. The piece examines how each company is positioned to benefit from surging demand for high-speed data transmission in artificial intelligence infrastructure.
- 8Marvell to buy Lumentum for $115 billion in AI betโMarvell is buying Lumentum for $115 billion to own the optical wiring inside AI data centers Marvell will pay about $115
Marvell is acquiring optical components maker Lumentum in an all-stock deal worth about $115 billion, paying roughly $1,132 per share, a 23.9 percent premium. The deal reflects Marvell's view that optical interconnects, not copper wiring, will become the critical bottleneck inside AI data centers, giving it control of the light-based technology underpinning AI compute infrastructure.
- 9AI Image Enhancement Improves Flip-Chip Defect DetectionโผAI Image Enhancement Improves Detection Of Flip-Chip Interconnect Defects (MCL, PVA TePla, ASE)
MCL, PVA TePla and ASE report that AI-based image enhancement improves detection of defects in flip-chip interconnects, the solder-bump connections that link chip packages to circuit boards. The companies say enhanced imaging makes tiny voids, cracks and misalignments easier to spot during inspection, supporting quality control as flip-chip packaging grows more common in advanced semiconductor production.
- 10Nomura Sees Optical Laser Chips Tripling to 1.5 Billion by 2028โผNomura Sees Optical Laser Chips Tripling to 1.5B by 2028
Nomura projects the market for optical laser chips will roughly triple to 1.5 billion units by 2028. The forecast points to surging demand tied to AI data centers and faster fiber-optic communications, where optical interconnects are becoming central to scaling bandwidth. Analysts' outlooks like this are being watched closely by chipmakers and investors positioning around the AI infrastructure buildout.
- 11AI Image Enhancement Boosts Flip-Chip Defect DetectionโAI Image Enhancement Improves Flip-Chip Interconnect Defect Detection - News and Statistics
Industry reports highlight that AI-powered image enhancement is improving the detection of defects in flip-chip interconnects, a critical quality-control step in semiconductor packaging. Better imaging is said to help manufacturers spot faulty solder connections earlier, reducing waste and improving chip reliability. The development comes amid growing investment in AI tools for electronics manufacturing and inspection processes.
- 12AI commentator revisits warnings on open models and cyber riskโผWas I wrong about open models & cyber risks?
The author of the Interconnects AI newsletter is publicly revisiting his earlier arguments about whether open-weight AI models pose meaningful cybersecurity risks. The piece asks whether fears that freely available models would materially help malicious hackers have held up, reopening a debate that has divided AI policy researchers between open-weights advocates and safety-focused critics.