.NET for Apache Spark vs NVIDIA Deep Learning AMI
Overview
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Detailed Comparison
With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. | It is an optimized environment for running the Deep Learning, Data Science, and HPC containers available from NVIDIA's NGC Catalog. The Docker containers available on the NGC Catalog are tuned, tested, and certified by NVIDIA to take full advantage of NVIDIA Ampere, Volta and Turing Tensor Cores, the driving force behind artificial intelligence. Deep Learning, Data Science, and HPC containers from the NGC Catalog require this AMI for the best GPU acceleration on AWS P4D, P3 and G4 instances. |
| - | Provides AI researchers with fast and easy access to NVIDIA A100, V100 and T4 GPUs in the cloud, with performance-engineered deep learning framework containers that are fully integrated, optimized, and certified by NVIDIA;
Optimized for highest performance across a wide range of workloads on NVIDIA GPUs;
NVIDIA accelerates innovation by eliminating the complex do-it-yourself task of building and optimizing a complete deep learning software stack tuned specifically for GPUs |
Statistics | |
GitHub Stars 2.1K | GitHub Stars - |
GitHub Forks 329 | GitHub Forks - |
Stacks 31 | Stacks 13 |
Followers 46 | Followers 11 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to .NET for Apache Spark, NVIDIA Deep Learning AMI?
TensorFlow
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scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
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Keras
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Kubeflow
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TensorFlow.js
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Polyaxon
An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.
Streamlit
It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.
MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
H2O
H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.
