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It’s photons over electrons in effort to eek out better chip performance

a

Moving

DATA at the

Speed of AI

Optical I/O Shatters Data Bottlenecks

AI is transforming every industry, from healthcare to finance to transportation. But as AI models grow exponentially in size and complexity, a new challenge has emerged: moving data fast and efficiently enough across AI systems.

Traditional interconnects create data bottlenecks that constrain today’s systems and AI’s potential. Ayar Labs’ cutting-edge optical I/O solution is shattering these bottlenecks, paving the way for the next generation of AI breakthroughs.

5-10x

higher bandwidth

4-8x

more power efficient

10x

lower latency

(than traditional interconnects: pluggable optics+electrical SerDes)

The Data Movement Challenge

As large language models double in size every six months, and training token count increases in turn, compute resource requirements have exploded. Today’s models require hundreds or even thousands of interconnected GPUs and other accelerators, generating staggering amounts of data that need to be shuttled between processors, memory, and storage at lightning speeds. Conventional interconnects simply can’t scale to the cost and throughput that multimodal AI systems will require. This leads to poor hardware utilization, skyrocketing power consumption, and increased costs that threaten to put the brakes on AI innovation.

The Data Movement Challenge

As large language models double in size every six months, and training token count increases in turn, compute resource requirements have exploded. Today’s models require hundreds or even thousands of interconnected GPUs and other accelerators, generating staggering amounts of data that need to be shuttled between processors, memory, and storage at lightning speeds. Conventional interconnects simply can’t scale to the cost and throughput that multimodal AI systems will require. This leads to poor hardware utilization, skyrocketing power consumption, and increased costs that threaten to put the brakes on AI innovation.

Leading voices agree:

data movement is a major roadblock.

“Over the past decade, NVIDIA-accelerated computing has delivered a million-X speedup in AI. The next million-X will require new, advanced technologies like optical I/O to support the bandwidth, power and scale requirements of future AI and ML workloads and system architectures.”

NVIDIA

Rob Ober,

Chief Platform Architect for Data Center Products, NVIDIA

“Interconnect bandwidth during scale-out is critical to preventing the accelerators from stalling while waiting on network transfers for either data or gradients.”

Christopher Berner,

Head of Compute, OpenAI

Ayar Labs' In-Package Optical I/O Solution

Ayar Labs has pioneered a groundbreaking solution to data bottlenecks: the industry’s first commercial-ready in-package optical I/O, optimized for large-scale AI workloads. The TeraPHY™ optical I/O chiplet, combined with the SuperNova™ remote light source, provide unprecedented bandwidth that’s orders of magnitude faster and more efficient than existing solutions.

Breakthrough Technology

Optical I/O maximizes the compute efficiency and performance of AI infrastructure while reducing costs, latency, and power consumption.

Optimized for AI

Our scalable architecture is designed to evolve alongside AI workloads and architectures, ensuring that data movement never holds back progress.

Standards-Based, Commercial-Ready

Ayar Labs’ standards-based approach (UCIe, CXL, CW-WDM MSA) and robust ecosystem ensure optical I/O is easy to integrate into AI systems at scale.

Backed by Industry Leaders

Strategic collaborations accelerate the development and deployment of our optical I/O solution, paving the way for transformative AI architectures that will power the next generation of innovation.

Contact us at info@ayarlabs.com to learn more.

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