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Home / Technology / Optical Chip Shatters AI Compute Limits

Optical Chip Shatters AI Compute Limits

31 Jan

•

Summary

  • Neurophos Tulkas T100 optical chip boasts 470 petaFLOPS compute.
  • Chip integrates 768GB HBM for memory-intensive AI workloads.
  • Full production expected by mid-2028 with initial thousands shipped.
Optical Chip Shatters AI Compute Limits

Austin-based startup Neurophos is developing the Tulkas T100, an optical processing unit designed to significantly advance AI computation. Funded by Bill Gates' Frontier Fund, the chip aims for 470 petaFLOPS of FP4 and INT4 compute within a 1-2kW power envelope.

Its optical tensor core is substantially larger than conventional AI GPUs, enabling higher compute density. Neurophos leverages optical transistors, claimed to be 10,000 times smaller than current silicon photonics components, to potentially extend Moore's Law.

The Tulkas T100 operates at a high 56GHz clock rate. It features a dual reticle design with 768GB of HBM to support demanding AI workloads, focusing initially on token processing for large language models.

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Neurophos anticipates full production by mid-2028, with initial shipments expected to be in the thousands. Engineers are currently testing a proof-of-concept to validate performance and power claims, as competition from Nvidia and AMD intensifies in the silicon photonics space.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
The Tulkas T100 is an optical processing unit being developed by Neurophos, designed to significantly advance AI computation with high petaFLOPS performance.
Neurophos anticipates full production of the Tulkas T100 by mid-2028, with initial shipments numbering in the thousands.
The Tulkas T100, with its 768GB of HBM, is designed to support memory-intensive AI workloads, initially focusing on token processing for large language models.

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