Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Persistence container technology facilitates efficient operations with a lightweight approach, allowing users to pay for usage by the second instead of waiting for hours or months. The payment process, which will occur via credit card, is set for the following month. This technology offers high performance at a competitive price compared to alternative solutions. Furthermore, it is set to be deployed in the fastest supercomputer globally at Oak Ridge National Laboratory. Various machine learning applications, including deep learning, computational fluid dynamics, video encoding, 3D graphics workstations, 3D rendering, visual effects, computational finance, seismic analysis, molecular modeling, and genomics, will benefit from this technology, along with other GPU workloads in server environments. The versatility of these applications demonstrates the broad impact of persistence container technology across different scientific and computational fields.
Description
alvaDesc is a cheminformatics tool designed for the computation and examination of molecular descriptors, fingerprints, and structural patterns, catering to QSAR, QSPR, read-across, and machine learning needs. It is capable of calculating over 5,000 molecular descriptors across various dimensions (0D–3D), which encompass constitutional, topological, geometrical, electronic, physicochemical, and fragment-based categories.
In addition, the software produces molecular fingerprints and structural pattern counts that facilitate similarity analysis, clustering, and classification tasks. It comes equipped with integrated tools that allow for descriptor filtering and correlation analysis, ensuring that the modeling process is both robust and reproducible.
Furthermore, alvaDesc offers seamless integration with KNIME and Python, making it easy to link with external data analysis and machine learning workflows. Its widespread use in both academic and industrial research is bolstered by comprehensive documentation and an array of scientific publications, which contribute to its reputation as a reliable resource in the field. Moreover, users appreciate its user-friendly interface that enhances the overall experience while conducting complex cheminformatics tasks.
API Access
Has API
No
API Access
Has API
No
Integrations
KNIME Analytics Platform
No
Keras
Yes
PyTorch
Yes
Python
No
TensorFlow
Yes
alvaBuilder
No
alvaModel
No
Integrations
KNIME Analytics Platform
Yes
Keras
No
PyTorch
No
Python
Yes
TensorFlow
No
alvaBuilder
Yes
alvaModel
Yes
Pricing Details
$0.0992 per hour
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
GPUEater
Country
United States
Website
gpueater.com
Vendor Details
Company Name
Alvascience
Founded
2018
Country
Italy
Website
www.alvascience.com