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Wednesday 28 January 2026
Lightmatter and GUC Partner to Produce CPO Solutions for AI Hyperscalers
Collaboration combines GUC's ASIC design leadership with Lightmatter's industry-leading 3D CPO platform to redefine AI infrastructure scalability.Lightmatter, the leader in photonic interconnect solutions for AI, and Global Unichip Corp. (GUC), the Advanced ASIC leader and a key enabler for hyperscaler AI infrastructure, today announced a strategic partnership to bring commercial Passage 3D Co-Packaged Optics (CPO) solutions to market.The collaboration integrates Lightmatter's revolutionary Passage photonic interconnect with GUC's state-of-the-art ASIC design services and advanced packaging expertise. This joint solution is specifically engineered to overcome the critical connectivity bottlenecks currently limiting the scaling of next-generation AI and High-Performance Computing (HPC) workloads for the world's largest data center operators."The fundamental architecture of computers is changing. The world has hit a wall in per silicon area performance, the network is becoming the computer, and that network needs to run on light. GUC has unmatched ASIC engineering execution in this rapidly-evolving landscape. Pairing their silicon expertise with our photonic interconnects provides the industry with a concrete path to escape the energy and performance traps of legacy signaling, enabling the massive scale-up required for tomorrow's intelligence," said Nick Harris, founder and CEO of Lightmatter.Redefining AI Interconnect with PassageThe integrated solution will leverage GUC's advanced node chiplet and packaging workflows to incorporate Passage, a silicon photonics-based platform that sets a new standard for AI interconnect performance. Passage delivers unprecedented bandwidth density and power efficiency for XPU and switch chip-to-chip communications, pushing the performance boundaries of world's largest and most complex foundation models.These advantages mark a decisive evolution beyond existing solutions, which are fundamentally constrained by physical I/O limits - or "shoreline" - of the chip, restricting the maximum bandwidth and radix per optical engine (OE). By seamlessly extending the scale-up domain of AI clusters acrossmultiple racks, the Passage platform substantially improves training time and token throughput for the next wave of frontier AI models."To enable our hyperscale customers to deliver the most competitive services, we need partners with proven, superior technology," said Igor Elkanovich, CTO of GUC. "Integrating Lightmatter's Passage CPO platform into our world-class ASIC designs allows us to bring to market a jointsolution that fundamentally redefines AI interconnect. Our combined expertise solves complex challenges - architectural, thermal, mechanical, and signal integrity, and ensures that customers receive a robust, power-efficient, and scalable CPO platform that accelerates their path to large-scaleAI deployment."Analyst Perspective on Market Impact"Optical interconnect is no longer a luxury; it is a necessity for hyperscale AI to continue its exponential growth path," said Dr. Wei-Chung Lo, Deputy General Director at Electronic & Optoelectronic System Research Laboratories (EOSL) of Industrial Technology Research Institute (ITRI), Taiwan. "The combination of GUC's extensive experience in custom AI silicon design for top-tier cloud providers and Lightmatter's innovation signals to the market that the supply chain is maturing, providing a credible blueprint for hyperscalers to address the critical bandwidth and power constraints of the next generation of AI clusters."For more information, visit.
Thursday 22 January 2026
MOSS Introduces an AI-Assisted DAW Built to Support Human Creativity
MOSS is an AI-assisted digital audio workstation designed to make professional-quality music production more accessible - without replacing the artist.While more people than ever are creating music, production remains a major barrier. Traditional DAWs demand years of technical expertise, complex plugin workflows, and interfaces that have changed little over the past two decades. For many musicians, these challenges prevent ideas from ever becoming finished songs."Making great music shouldn't be bound to years of expertise or expensive studios," says Hansol Sohn, CEO of MOSS.To address this, MOSS embeds an AI co-producer directly into the DAW workflow. Rather than generating music autonomously, the system focuses on assistance. It analyzes musical context - including genre, arrangement, and sonic balance - to support decisions such as sound selection, mix balance, effect configuration, and mastering chains. Creative control always remains with the artist.Technically, MOSS combines a modern multi-track audio engine with real-time signal processing and AI-driven decision support. The AI layer translates musical intent into production-ready settings, helping creators achieve consistent, release-ready results without deep engineering knowledge.Built for professional musicians, students, hobbyists, and first-time creators alike, MOSS lowers the technical barrier to music production and enables more artists to finish, share, and release their work.As AI continues to reshape creative tools, MOSS positions itself as a human-centered alternative - using intelligence to enhance the creative process rather than automate it.
Wednesday 21 January 2026
Sentistic Pulse Tackles the AI Energy Challenge
As AI and data centers scale rapidly, energy has become the real constraint. One of the most overlooked aspects of this challenge is how efficiently we use the electricity we already produce. At CES 2026, Sentistic today announced Sentistic Pulse, a software solution designed to reduce unnecessary energy use in buildings by enhancing how motion sensors interpret occupancy and operate lighting and HVAC (Heating, Ventilation, and Air Conditioning) systems.With tens of millions of motion sensors deployed every year, software-level improvements that integrate into existing sensors can have a meaningful impact on how efficiently energy is used across today's building infrastructure. Sentistic Pulse fits into any motion sensor, improving performance through software and delivering up to 25% additional energy savings, while also improving comfort.Energy is often used longer than needed because motion sensors typically wait longer than necessary before switching systems off, in order to avoid turning lights or HVAC off too soon. The result is that systems stay on even after people leave, and energy use increases to maintain comfort.Sentistic Pulse solves this by improving how motion sensors interpret occupancy, allowing systems to respond to real presence rather than conservative delays. Lights stay on when people are present and turn off sooner when spaces are empty. HVAC systems respond to actual occupancy, not fixed safety delays. Users no longer need to wave to retrigger the lights, and comfort is improved rather than compromised.By reducing unnecessary runtime, Sentistic Pulse enables more efficient use of electricity already produced, one of the fastest ways to relieve pressure on the energy system as AI continues to scale. Sentistic is already working with multiple motion sensor OEMs and brands on integration, highlighting strong industry interest in scalable, software-based efficiency improvements."With energy becoming the real constraint behind AI growth, efficiency matters more than ever," said Justin Groot, Founder & CEO of Sentistic. "Sentistic Pulse is designed to deliver that efficiency at scale."Sentistic Pulse first public demonstrations will be shown at Light+Building in Frankfurt in March.