Snowcap Compute
Snowcap Compute develops a commercial superconducting computing platform for AI and HPC workloads.
Snowcap Compute develops a commercial superconducting computing platform for AI and HPC workloads.
Snowcap's Superconducting Computing Platform uses Josephson junctions with SFQ and AQFP logic on niobium titanium nitride to replace semiconductor transistors, delivering roughly five orders of magnitude lower switching energy than CMOS.
The platform runs at 4.5 Kelvin on helium-based cryogenic infrastructure and is compatible with existing 300mm semiconductor fabs, letting partners port standard digital designs such as CPUs, GPUs, and AI accelerators into the superconducting regime.
AI, HPC, and quantum-classical hybrid workloads are outpacing the power and scaling limits of silicon, creating demand for alternative compute substrates that can deliver transformative performance per watt.
Snowcap targets data center operators seeking these gains, positioning superconducting compute as a commercially competitive path beyond CMOS for next-generation AI inference and training.
Snowcap's architecture achieves orders-of-magnitude energy-efficiency gains over CMOS by using superconducting Josephson junctions, and it relies on standard 300mm semiconductor fabrication rather than exotic manufacturing.
The company reports having solved the scaling, fab compatibility, EDA, and system-architecture challenges that previously blocked commercial superconducting compute, and it has demonstrated its first superconducting test chip, Snowcap 1.
Snowcap is pre-revenue and pre-product: its first superconducting test chip, Snowcap 1, is a demonstration rather than a shipping commercial product, and the company has no pricing page or paying customers disclosed.
Superconducting compute also requires helium-based cryogenic infrastructure operating near 4.5 Kelvin, adding deployment complexity and capital cost relative to conventional silicon-based data center hardware that operates at ambient temperature.