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Concept illustration of Ayar Labs optical chiplet integrated with AI processors on a circuit board

Ayar Labs Secures $500M to Tackle AI’s Copper Bottleneck

4 March 2026 Technology No Comments2 Mins Read
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Ayar Labs lands $500M to push optical chiplets for AI

Ayar Labs has raised a landmark $500 million Series E round at a $3.75 billion valuation, positioning the Silicon Valley startup as a central player in solving one of artificial intelligence’s biggest hardware constraints: the limits of copper-based data connections.

The round is led by investment manager Neuberger Berman, with strategic participation from semiconductor heavyweights NVIDIA, AMD and MediaTek. Their backing underscores growing confidence that co-packaged optics and optical chiplets will be essential to sustaining the rapid growth of large-scale AI workloads.

Fixing the copper interconnect bottleneck

As data centers deploy ever larger clusters of AI accelerators, traditional copper interconnects are hitting physical limits in bandwidth, power efficiency and distance. This bottleneck inflates costs and constrains the performance of advanced generative AI and high-performance computing systems.

Ayar Labs is developing silicon photonics technology that replaces these copper links with high-speed optical interconnects. Its optical chiplets are designed to be co-packaged directly with compute and networking silicon, enabling dramatically higher data throughput with lower latency and power consumption.

Scaling co-packaged optics for hyperscale AI

The new capital will help Ayar Labs scale manufacturing, deepen partnerships with leading chipmakers and move its technology from pilots into broad deployment across cloud and hyperscale data centers. With investors such as NVIDIA, AMD and MediaTek at the table, industry observers expect tighter integration of optical chiplets into future GPUs, CPUs and AI accelerators.

Analysts say the deal signals a wider shift: as AI models scale, system architects are being forced to redesign the entire data path, not just the compute engines. Co-packaged optics, once a niche technology, is rapidly becoming a strategic priority for the broader semiconductor and AI infrastructure ecosystem.

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