Cegal PrizmCegal
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NVIDIA RAPIDSNVIDIA
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Related Products
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About
Cegal Prizm is a modular solution designed to allow easy integration of data from different geo-applications, data sources and platforms into a Python environment. The modules allow you to combine geo-data sources for advanced analysis, visualization, data-science workflows, and machine-learning techniques. You can begin to solve problems that were not previously possible with legacy applications. Integrate modern Python technologies to extend, accelerate and augment standard workflows; create and securely distribute customized code, services and technology to a user community for consumption. Connect into the E&P software platform Petrel, OSDU, and other third-party applications and domains to access and retrieve energy data. Seamlessly transfer data locally or across hybrid and cloud deployments to a common Python environment to generate more insight and value. Prizm allows you to enrich datasets with additional application metadata to add more value and context to your analysis.
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About
The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
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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
Geoscientists and data-science teams in search of a tool to integrate domain data into Python workflows for advanced analytics, visualization and machine learning
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Audience
Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
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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
No information available.
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 InformationCegal
Founded: 2000
Norway
www.cegal.com/en/software/data-science-and-cegal-prizm
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids
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Categories |
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Integrations
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Integrations
Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
IBM Cloud
Iguazio
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