NewPhotonics Unveils Optical Communication Chip Designed for Near-Packaged Optics

By Yohai Schwiger

Israeli photonics company NewPhotonics, based in Petah Tikva, today unveiled its latest optical communication transmitter chip, the NPC50503 NPO, delivering data rates of up to 1.6 terabits per second (1.6 Tbps). The device is packaged in a low-power flip-chip BGA form factor and supports per-lane speeds of 224 Gbps, compliant with the PAM4 IEEE 802.3dj standard. It is designed for deployment in Near-Packaged Optics (NPO) architectures, which are increasingly required in large-scale AI data centers.

The new chip integrates an on-chip laser, an optical signal-processing unit, and an ultra-high-speed electrical interface. According to the company, this design reduces signal loss, lowers power consumption, and enables optical connectivity to be placed closer to processors and accelerators inside the server itself. The announcement also marks a strategic shift for NewPhotonics. Until now, the company’s products were primarily focused on enhancing and upgrading existing optical communication modules.

NewPhotonics previously supplied Transmitter-on-Chip (TOC) solutions, which replace the internal transmission components of optical modules and enable data rates of up to 1.6 Tbps while improving energy efficiency. This approach allowed module manufacturers to significantly boost performance without redesigning the underlying network architecture.

Moving Optical Links Closer to the Compute Core

The newly announced chip represents a move toward a more comprehensive solution positioned at the heart of AI-intensive systems. It is an NPO component designed to be installed inside the package, close to the CPU, GPU, or custom ASIC. This marks a meaningful architectural change. Instead of transmitting electrical signals from the processor to a photonic module via copper traces, which limit bandwidth and energy efficiency, optical connectivity is brought much closer to the point of computation.

In traditional systems, optical components reside in pluggable transceiver modules mounted at the front of servers or switches. These modules convert electrical signals to optical signals and back, but the electrical signal must first travel tens of centimeters over copper traces on the circuit board. At speeds exceeding 100 Gbps per lane, every additional centimeter degrades signal integrity, increases power consumption, and constrains overall bandwidth.

Near-Packaged Optics shortens this distance dramatically, sometimes to just a few centimeters, by integrating optical components on the board adjacent to the compute device itself. Reducing the electrical path enables higher data rates and better energy efficiency, while optical fibers become an integral part of the system architecture.

Refining the Optical Fabric for AI Workloads

Modern data centers, particularly those designed to run large AI models, require massive data movement between compute units while maintaining tight power budgets. Across the industry, there is a clear shift away from copper-based interconnects and discrete optical modules toward optics that are integrated directly into the system.

The next stage of this evolution is Co-Packaged Optics (CPO), where optical components and logic are combined within the same hardware package at the ASIC level. While CPO represents the long-term goal, it remains challenging due to manufacturing complexity, cost, and operational concerns, as a failure in an optical component could disable an entire package.

NewPhotonics’ NPO solution is positioned as a critical intermediate step toward that future. By integrating optical communication inside the system package rather than relying on external pluggable modules, the approach reduces dependence on copper, improves power efficiency, and still preserves design flexibility and operational practicality.

Addionics and PNT Join Forces to Develop Energy Storage Batteries for Data Centers

Israeli battery technology company Addionics and South Korea’s PNT Materials have announced a strategic partnership to develop, manufacture and commercialize prismatic LFP battery cells designed for large-scale energy storage systems. The collaboration is aimed primarily at addressing the surging energy needs of AI-driven data centers, as power consumption rises sharply across high-performance computing infrastructure and demand grows for stable, reliable and cost-efficient energy supply.

Prismatic LFP cells, based on lithium iron phosphate chemistry, are housed in rigid rectangular casings optimized for dense, controlled deployment in large energy storage systems. Unlike smaller cells used in consumer devices, these batteries are designed for long operational lifetimes, thousands of charge and discharge cycles, and a particularly high level of safety. For data centers, where batteries play a critical role in grid stability and as a backbone for uninterrupted AI workloads, the combination of safety, durability and effective thermal management makes prismatic LFP chemistry an increasingly preferred choice.

The partnership is intended to combine Addionics’ structural battery technology with PNT’s industrial manufacturing capabilities, with the goal of developing a new generation of energy storage batteries tailored for continuous data center operation and large-scale deployment in renewable energy and energy storage system projects. In this context, batteries are no longer viewed as a short-term backup solution, but as a long-life infrastructure component required to handle fluctuating loads while maintaining high reliability over many years.

Addionics is an Israeli startup focused on structural improvements to lithium-ion batteries without altering their underlying chemistry. The company’s core technology is based on three-dimensional current collectors that replace flat metal foils with a smart, porous structure offering significantly larger surface area. This architecture improves electrical conductivity within the cell, enables more efficient heat dissipation, extends battery lifespan and supports high-power charge and discharge — all critical characteristics for energy-intensive AI infrastructure.

Under the collaboration, Addionics’ technology will be integrated into the manufacturing processes of PNT Materials, a South Korean company with extensive experience in producing materials, equipment and industrial processes for the battery industry. PNT has long served as an infrastructure supplier to the global battery market and in recent years has expanded into LFP cells and large-scale energy storage applications, with a strong focus on scalability, reliability and cost reduction.

The decision to focus on prismatic LFP cells reflects a broader shift across the energy and AI sectors, where the emphasis is moving away from the pursuit of maximum energy density toward stable, safe and economically viable solutions at infrastructure scale. The combination of Addionics’ three-dimensional battery architecture with PNT’s manufacturing expertise is intended to position energy storage as a foundational pillar of the AI-driven digital economy.

Dr. Moshiel Biton, founder and CEO of Addionics, said that “combining our technological advantage with PNT’s manufacturing capabilities will enable us to deliver high-quality, cost-effective batteries that help accelerate the AI revolution and support the global transition to clean energy.”