Lightelligence's optical processor is 100x faster than GPUs at math

Optical computing startup Lightelligence develops new processor, smashes GPUs by 100x in calculating complicated math problems.

58 seconds read time

Optical computing startup Lightelligence has developed a new GPU that outstrips the very best GPUs on the planet -- at least in the most challenging mathematical problems -- with the introduction of the Photonic Arithmetic Computing Engine (PACE).

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Lightelligence's new Photonic Arithmetic Computing Engine (PACE) thrashes NVIDIA's third-fastest Turing-based GPU in the GeForce RTX 3080 by nearly 100x in the NP-complete class of problems. The new PACE accelerator under the Ising model -- an example of a thermodynamic system that's used for understanding phase transitions -- with record-breaking results.

The new PACE accelerator when compared to the GeForce RTX 3080 is around 100x faster, with Lightelligence using 12,000 optical devices integrated onto a circuit, clocked at 1GHz. Up against the purpose-built Toshiba's simulated bifurcation machine based on FPGAs, Lightelligence's new PACE accelerator still beats that system by 25x -- just as impressive.

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Lightelligence's new Photonic Arithmetic Computing Engine (PACE) system uses standard silicon photonics integration of Mach-Zehnder Interferometer (MZI) for computing and MEMS to change the waveguide shape in the MZI.

TechPowerUp makes a good point here, in that Lightelligence's new PACE accelerator shows the world that these super-advanced chips aren't all just about AI, HPC, ray tracing, and gaming. Massively complicated mathematical problems being super-sped up by 25-100x shouldn't be ignored, at all.

These types of accelerators can be used in material science, thermodynamics, bioinformatics, cryptography, circuit design, power grid optimization, and much more.

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Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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