This Helmholtz software can run under a Virtual Machine locally or in the cloud

deepflow benefits from extra Processing Power offered by a compatible Nvidia GPU

Virtual Workstation for deepflow

Category: Medical Imaging

Developed by: Helmholtz

Deep learning tool for reconstructing cell cycle and disease progression using deep learning from flow cytometry data.

Run it on a virtual PC starting at $ 0.8 / Hour

Up to 60% Discount for eligible Organisations

If you have a Windows 7, 10 or 11 OS Auxilio works for you. Auxilio’s GPU-powered Virtual Desktops gives you one of the most high powered GPU machine you could find out there, each with a 48 GB NVidia Ampere A6000 Professional card. It’s an extraordinary tool for creators and are available as low as $ 0.8 / hour. Get in touch to find our more.

Top-of-the-line technology stack powering modern infrastructure.

Virtual Machines with NVIDIA Professional Cards

Billed per Hour, Week or Month. Available for Organizations and Companies.

Configuration with 1, 2, 4 or 8 cards are available. Pricing is a multiple of the base price regardless of the GPU type. Ubuntu, CentOS or Windows VMs.

Hourly Billing is Coming Soon, only weekly and monthly commitments are available at the moment.

Find out how to scale deepflow below. We are offering single and multi GPU options at the moment.

Description

Tool will show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data
Tool will demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progression in diabetic retinopathy. In further analysis of Jurkat cells
Tool will detect and separate a subpopulation of dead cells in an unsupervised manner and, in classifying discrete cell cycle stages
Tool will reach a sixfold reduction in error rate compared to a recent approach based on boosting on image features. In contrast to previous methods, deep learning based predictions are fast enough for on-the-fly analysis in an imaging flow cytometer
Uses MXNet, cv2, numpy, python3

Find out why it's safer and faster to run deepflow software by Helmholtz in the Cloud.

Using a disposable Virtual Workstations for deepflow is the only way to be completely safe from ransomware when downloading any software from the internet. To completely isolate your personal computer from the computer that is exposed to the risk of malware infections. This means downloading files that are potentially risky only on the Virtual Workstation and using them on that Workstation, instead of your personal computer - that can have important documents or personal files.

Interested in running this software for your company? Multi-users, multi-GPU and faster support is available.

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FAQ

How am I charged?

The Virtual Machines have a flat rate per month regardless if the machine is on or off. For the moment we can offer a great deal for the A6000 cards, of 129.99 per week or 499.99 per month. Hourly billing is coming soon. Offer is subject to availability.

All our GPU servers are hosted in Germany and Romania in a professional grade data center. There are multiple 20 Gb up-links available and data is stored on redundant flash drives.

We do not offer a free trial, but you can request a full refund if you’re experiencing technical issues. You’ll receive a refund within 5 – 10 business days.

Send a cancellation request in your account to fully cancel the service. You will not be billed from the next month on and until them you can download any data you want from your machines – all saved games, etc.

Short answer is yes, get in touch and let's see what are your organizations needs and can we help. We support educational, academic and research groups with cloud resources.

Auxilio is not affiliated, associated, authorized, endorsed by, or in any way officially connected with NVidia Corporation. We are a not for profit entity and are able to support the ecosystem with much lower prices, while you help support the cause.