Quside, known for 10+ years of heritage in the development and commercialization of quantum random number generation (QRNG), monitoring, and processing technology, has unveiled the concept of a Randomness Processing Unit (RPU), a device meant to expedite the execution of intense randomized workloads while consuming less energy and saving time.
Stochastic processes are used in many of the most important simulation, optimization, and prediction workloads. As a result, they require an ever-increasing supply of high-quality, high-speed random numbers, as well as the accompanying processing duties. Current methodologies for generating pseudo-randomness in high-performance contexts frequently result in significant energy consumption and performance inefficiencies, as well as the introduction of artifacts and co-dependencies in the statistical results.
“Pseudo-random number generation subroutines may involve up to 50% of the total computing resources for stochastic workloads”
Jose Martinez, Lead Scientist at Quside.
Based on high-speed, high-quality QRNGs and hardware-based randomness acceleration, Quside’s new Randomness Processing Unit allows customers to offload their randomness generation and processing tasks from the CPU, accelerating their randomized workloads, increasing the efficiency of their infrastructure, and improving the quality of their simulation, optimization, and prediction needs.
Customers can now acquire an efficient hardware-accelerated randomness source with full-workload speed increases of up to 10X and energy-saving efficiencies of up to 20X by using the newly announced first-generation RPU. Furthermore, the solution is simple to deploy and integrate into a wide range of randomized calculations using C++. Integrations with Virtual Machine images are also available.
“We’ve been working with customers and users in industry and academia for several months to optimize the value of this new product. We are thrilled to announce the availability of this new product and to work with customers to accelerate their randomized workloads”
Carlos Abellan, CEO at Quside.
Quside is an active member of the European quantum community and the Quantum Industry Consortium (QuIC), as well as a vital contributor to a number of European Commission initiatives (Qrange and Civiq projects under the Quantum Flagship program) and national efforts (Clave, Caramuel, QuSpin).
Visit their website for more information.
