SPWParallel Geoscience
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Related Products
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About
Persistence container technology enables lightweight operation. Pay-per-use in seconds rather than hours or months. Fees will be paid by credit card in the next month. High performance, but low price compared to others. Will be installed in the world's fastest supercomputer by Oak Ridge National Laboratory. Machine learning applications like deep learning, computational fluid dynamics, video encoding, 3D graphics workstation, 3D rendering, VFX, computational finance, seismic analysis, molecular modeling, genomics, and other server-side GPU computation workloads.
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About
The SPW software is an interactive seismic processing system. SPW is parallelized for use on multi-core processors with threads on either Windows 7 or Windows 10. SPW can be configured for standalone use on workstations, desktop PC's or laptops and may also be installed as a client-server configuration for large scale processing needs on high end server PCs. The SPW 3D package is a complete processing system for 3D P-wave seismic reflection data. Data QC and interactive analysis are strengths of the system and allow rapid control of data quality and checking of procesisng results.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Businesses looking for a GPU cloud solution for deep learning
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Audience
Organizations that need an interactive seismic processing system
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.0992 per hour
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGPUEater
United States
gpueater.com
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Company InformationParallel Geoscience
United States
www.parallelgeo.com
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Categories |
Categories |
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Integrations
Keras
PyTorch
TensorFlow
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