How silicon photonics and Mach-Zehnder interferometers compute tensor multiplications at the speed of light with near-zero heat dissipation.
Electronic silicon chips are approaching the physical thermal wall: resistance in copper wires generates heat that limits clock speeds and consumes enormous data center power.
Photonic Computing replaces electrons with photons traveling through silicon waveguides. By utilizing arrays of Mach-Zehnder interferometers (MZIs), optical processors perform matrix multiplications passively at the speed of light with near-zero energy consumption.
Enterprise Generative AI Infrastructure with Native RDMA and 99.999% Guaranteed SLA
Shivam Gupta serves as the principal systems architect and cybersecurity editor for PrimeBitsTech. Specializing in high-concurrency cloud-native ecosystems, zero-trust cryptographic boundaries, and distributed database sharding, Shivam bridges enterprise infrastructure realities with forward-looking engineering paradigms.
Inside the atomic-scale physics of Gate-All-Around (GAAFET) nanosheet transistors and High-NA EUV lithography driving the next semiconductor revolution.
Tanisha PanwarAn architectural deep dive into hyperscale AI accelerators: systolic arrays, tensor memory accelerators, and high-speed NVLink interconnects.
Tanisha PanwarWhy memory bandwidth—not raw compute FLOPS—governs modern AI scaling: 3D through-silicon vias (TSVs) and the transition to 2048-bit HBM4 interfaces.
Shivam Gupta
