Enabling the next phase of Moore’s Law through optical connectivity
Ayar Labs solves I/O bandwidth and power bottlenecks by moving data using light.
Revolutionizing Chip-to-Chip Communication
Ayar Labs is disrupting the traditional performance, cost, and efficiency curves of the semiconductor and computing industries by delivering up to a 1000x improvement in interconnect bandwidth density at one-tenth the power. We use standard CMOS processing to develop high-speed, high-density, low-power optical interconnect “chiplets” and lasers to replace traditional electrical I/O.
Cloud
→ Disaggregated architectures
→ Glue-less interconnects
→ Memory semantic fabrics
AI/HPC
→ Chip-chip low latency
→ Bandwidth
→ HBM capacity
Connectivity
→ Disaggregated base stations
→ RF-optical I/O
→ Digital beam forming
Intelligent Edge
→ RF sensing
→ Phased array radar
→ AI at the edge
Newly Released
It’s Photons Over Electrons in Effort to Eke Out Better Chip Performance
The soaring computing demands of artificial intelligence are forcing chip makers to re-evaluate everything, from chip architecture to chip size to eke out better performance.
Ayar Labs Receives Fast Company’s 2023 Next Big Things in Tech
Award
A panel of 18 Fast Company editors and writers selected this year’s 119 Next Big Things in Tech winners, featuring both industry titans and fledgling brands. The winners span 29 categories, such as AI and Data, E-Commerce and Retail, Robotics and Automation, and Security and Privacy.
Ayar Labs TeraPHY is Terrifyingly Quick with Fiber Directly Plugging into Chips
Ayar Labs TeraPHY is terrifyingly quick. At SC23, the company showed off the latest developments of its TeraPHY co-packaged optics solution and its SuperNova light source.
How Optical I/O is Enabling the Future of Generative AI: A Q&A with Vladimir Stojanovic
As we look at the future of AI and the challenges it faces, who better to provide insights than our own Vladimir Stojanovic, chief architect and co-founder of Ayar Labs
HPCwire Reveals Winners of the 20th Annual Readers’ and Editors’ Choice Awards
These awards, now in their 20th year, are widely recognized as being among the most prestigious recognition given by the HPC community to its own each year and are the only awards that open voting to a worldwide audience of end users.
Scalable and Sustainable AI: Rethinking Hardware and System Architecture
In this webinar panelists discuss the challenges of scaling up AI workloads on existing architectures and the emerging solutions that can dramatically improve performance, efficiency, and scalability.
Have You Seen the
LIGHT?
Chip-to-chip communication is advancing at the speed of light. Are you keeping up?
Discover how HPE, Intel, Lockheed, NVIDIA, Raytheon, and others are looking to in-package optical I/O to ramp up data movement, build disaggregated architectures, and get that next million-X speed-up in AI.
Optical I/O Delivers Unprecedented Throughput and System Scale-Out for HPC
Hyperion Research: Strong Market Sentiment for Optical I/O Connectivity
Explore key findings from Hyperion’s study on market readiness and expectations for optical I/O based on HPC/AI user and vendor input.
Breaking the HPC I/O Bottleneck with Optical Interconnects
Improving performance, memory capacity, and latency in HPC/AI system architectures is essential to reduce power consumption and costs as well as accelerate critical processing tasks.
Optical I/O Enables Disaggregated Architectures for HPC, AI, and Cloud
Disaggregated architectures, made possible by optical I/O, enable resource composability for more efficient utilization in cloud, AI, and HPC.
Rethinking Generative AI Architectures with Optical I/O
Ayar Labs Optical I/O: Shattering the Barriers to AI at Scale
Generative AI is enabling transformative outcomes, but model complexity is growing exponentially. Traditional interconnects create a bottleneck for data, forcing GPUs to remain idle a majority of the time. We need a new approach to generative AI architecture: optically connect nodes at scale so they effectively work like a single, giant GPU.
Learn More: How Optical I/O Enables Nodes to Connect at Scale
Spend Precious Power on Compute, Not Connectivity
4 Tbps optical FPGA technology from Intel and Ayar Labs: Sergey Shumarayev, Intel senior principal engineer/distinguished architect, shares how optical FPGA technology addresses socket power challenges for data-intensive applications like generative AI.
Ayar Labs: Solving Data Bottlenecks with Optical I/O
Ayar Labs is solving the critical performance bottlenecks in computing systems with optical I/O. By moving data between computer chips using light instead of electricity, systems achieve a dramatic leap in performance and latency with much lower power.
In-Package Optical I/O: Unleashing Innovation
Discover how Ayar Labs’ optical I/O solution is the key to unleashing innovation in AI, scaling cloud and HPC, launching new aerospace systems, enabling the next wave of 5G, and more.
Recent Announcements
Ayar Labs Showcases 4 Tbps Optically-enabled Intel FPGA at Supercomputing 2023
Explore Ayar Labs’ integration of optical I/O with FPGA, offering unprecedented HPC and AI performance, unveiled at Supercomputing 2023.
In the Media
Next Big Things in Tech 2023
Fast Company selected this year’s 119 Next Big Things in Tech winners, featuring both industry titans and fledgling brands.
Latest Resources
Webinar: Scalable and Sustainable AI: Rethinking Hardware and System Architecture
Join us as we unravel the challenges in existing hardware and system architectures, showcasing innovations that bolster AI’s efficiency, scalability, and sustainability.
Ayar Labs + Intel
Anil Rao, VP & GM Systems Architecture & Engineering, Intel: Pushing the envelope with optical I/O.
Ayar Labs Optical I/O: Shattering the Barriers to AI at Scale
Generative AI is enabling transformative outcomes, but model complexity is growing exponentially. Traditional interconnects create a bottleneck for data, forcing GPUs to remain idle a majority of the time.
4 Tbps Optical FPGA Technology from Intel and Ayar Labs: Spend Your Precious Power on Compute, Not Connectivity
Sergey Shumarayev, Intel senior principal engineer/distinguished architect, shares how optical FPGA technology addresses socket power challenges for data-intensive applications like generative AI.