5 Sources
[1]
Lightmatter unveils high-performance photonic 'superchip', claims world's fastest AI interconnect
The challenges facing multi-chiplet processors are the performance and power consumption of inter-chiplet interconnects, which may eventually limit their performance. Lightmatter, a startup that has worked on various optical interconnects for several years now, this week introduced a possible
[2]
Lightmatter's photonic interposers set to ship this summer
Lightmatter this week unveiled a pair of silicon photonic interconnects designed to satiate the growing demand for chip-to-chip bandwidth associated with ever-denser AI deployments. The first of these is an optical interposer called the Passage M1000, which the California biz expects to begin
[3]
Lightmatter releases new photonics technology for AI chips
SAN FRANCISCO, March 31 (Reuters) - Lightmatter, a startup valued at $4.4 billion, on Monday released two pieces of technology aimed at speeding up the connections between artificial intelligence chips. Instead of moving information between computer chips as electrical signals, Lightmatter's
[4]
Lightmatter turbocharges GPU connectivity with its first photonics-based networking interconnects - SiliconANGLE
The silicon photonics pioneer Lightmatter Inc. says it's ready to spearhead a revolution in data center connectivity with the coming launch of its first 3D co-packaged optics product, Passage L200. The Passage L200, which will be available in 32 terabyte and 64TB flavors, is designed to integrate
[5]
Lightmatter releases new photonics technology for AI chips
Lightmatter, a startup valued at $4.4 billion, on Monday released two pieces of technology aimed at speeding up the connections between artificial intelligence chips. Instead of moving information between computer chips as electrical signals, Lightmatter's technology uses optical connections and
Share
Copy Link
Lightmatter introduces two new photonic interconnect technologies, the Passage M1000 and L200 series, promising to revolutionize AI chip connectivity with unprecedented bandwidth and efficiency.

Lightmatter, a Silicon Valley startup valued at $4.4 billion, has unveiled two groundbreaking photonic interconnect technologies aimed at revolutionizing AI chip connectivity. The company's innovations, the Passage M1000 and L200 series, promise to address the growing demand for chip-to-chip bandwidth in AI deployments by leveraging silicon photonics
1
.The Passage M1000 is a multi-reticle eight-tile active 3D interposer that enables die complexes of 4,000 mm^2. This high-performance photonic interconnect platform boasts:
2
The M1000 is designed to function as an interposer between compute logic and the substrate, allowing multiple ASICs or GPU dies to be stacked on top. This design enables data to move vertically over the entire surface area of the chip, resulting in greater aggregate bandwidth
2
.Following the M1000, Lightmatter plans to introduce the Passage L200 and L200X in 2026:
3
Related Stories
Lightmatter's approach offers several key benefits:
Edgeless connectivity: Data channels can be placed anywhere on the die surface, overcoming limitations of traditional edge I/O designs
4
.Increased efficiency: By using light instead of electrical signals, the technology promises to reduce power consumption and increase speed
5
.Scalability: The technology can support massive clusters of thousands of GPUs with unprecedented bandwidth
4
.Lightmatter's innovations come at a crucial time for the AI industry, where the need for faster and more efficient chip-to-chip communication is paramount. The company's technology has the potential to accelerate AI processing speeds by up to eight times
4
.With $850 million in venture funding and partnerships with leading foundry and assembly partners like GlobalFoundries, Lightmatter is well-positioned to bring its photonic interconnect technology to market
5
.As the AI industry continues to grow and demand ever-increasing computational power, Lightmatter's photonic interconnect technology could play a crucial role in overcoming current bottlenecks and enabling the next generation of AI applications.
Summarized by
Navi
[1]
[2]
[4]
16 Oct 2024•Technology

29 May 2026•Technology

25 Aug 2025•Technology

1
Policy and Regulation

2
Technology

3
Technology
