Randomness Acceleration Platform

Speed up your Randomness-Intensive Workloads

The Quside Randomness Acceleration Platform has been designed for improving the efficiency in randomized workloads, as the Monte Carlo method, one of the most important algorithms in computing.

Building on our proprietary phase-diffusion quantum random number generation technology, we created a data center-grade, ready-to-use solution as a PCIe accelerator card that provides random number probability distributions with high throughput and high quality.

In addition, our libraries (C++ and Python) enable access to random number distributions and obtain a speedup in randomness-intensive workloads with minor changes in design and development workflows.

Quside
Available consumption models today:

• Private Cloud
Deploy the PCIe Randomness Acceleration Cards in a VMWare-virtualized standard server

• Ready to use OVF (Open Virtualization Format) appliance with pre-installed libraries and dependencies, including examples and a Jupyter notebook environment


• Physical Appliance Deploy a ready to use turnkey physical appliance into your premises with pre-installed libraries and dependencies, including examples and a Jupyter notebook environment

• Quside Cloud Access & consume the solution capability from Quside via its ‘Launch Pad’ service. A charge is levied per week or month for the service. This is recommended for instances of a 4-12 week duration, for PoC, MVP or ‘try & buy’ purposes to aid service evaluation.

highlights

WIDE-SPREAD USE​

Wide usage for the most relevant simulation and optimization workloads.​

NO ARTIFACTS​

​No artifacts in highly parallel simulations in contrast to pseudorandom generations.

HIGH SPEED AND RAND DATA​

​High speed with no starvation of randomness for your randomized workloads.​

EFFICIENT​

​Efficient usage of simulation resources that lead to important speed ups.​

CONSUMPTION MODELS​

​Several consumption models, from On Premises to Private or Public Cloud.​

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INDUSTRY Applications

PHARMA/SCIENCE​

​Stochastic Simulations
Computational Chemistry​
Drug Discovery​

FINANCE/INSURANCE​

​Speed up Monte Carlo simulations​
Portfolio Optimization​
Risk Assessment​

LOGISTICS/OPERATIONS RESEARCH​

​Scheduling and dispatching simulations​
Inventory Optimization​
Stochastic strategic and tactical Planning (forecasting)​