QUSIDE RPU One
10 Gbit/s performance for accelerated randomised workloads

The RPU One uses high-speed, high-quality QRNGs and hardware acceleration so customers can offload their randomness generation and processing tasks from the CPU, accelerating and optimising their randomised workloads. The RPU One simultaneously improves effective computational capacity, simulation, optimisation, and prediction quality.

Overview
High performance

10 Gbit/s randomness generation with multiple probability distribution profiles

Accessible

Minimal code migration and available for C++, Python and Matlab

Checkable

High-quality numbers, generated and checked by Quside’s proven Randomness Metrology methodology

Reliable

Capable of reproducing and repeating simulations while minimising artefacts and co-dependency risks

Versatile

Available for on-prem and via Quside Cloud Partners. Native cloud version deployable from cloud marketplace.

Reprogrammable

Embed your randomized workload and benefit from hardware-level acceleration for your entire code


Specs
Interface

PCIe Gen 2×4 10 Gbit/s

Power Consumption

25 W

Form Factor

PCIe Full-Height, Full Length, Double Width

Compatible OS

Ubuntu 20.04

Virtual Appliance

VMWare ESXi 6.5+ support / Hardened OS

Libraries

C++ and Python

Tools

Accelerator, distributions quality, and performance check tool for troubleshooting


RPU Cloud
Available as AMI image in AWS Marketplace
Easy & quick spin up as F1 instances for accelerated workloads integrated in you AWS cloud environment.
30 Gbit/s performance to accelerate randomised workloads
Same distributions and Tools as in the RPU One
Hardened OS
Different billing options

Industries
Finance
  • Speed up Monte Carlo simulations
  • Portfolio Optimisation
  • Risk Assessment
Government & Space
  • QKD & Hybrid key generation
  • Cybersecurity systems
Telco & Data Centre
  • Hybrid key generation (IoT & 5G)
  • Industrial IoT
  • Quantum key distribution systems
  • Cybersecurity appliances
  • Key management systems
Logistics & Retail
  • Scheduling and dispatching simulations
  • Inventory Optimisation
  • Tactical Planning (forecasting)