By Guest Authors: Ethan Mahintorabi, Johan Euphrosine and Aaron Cunningham @ Google
5 min read
Google and NIST partner on nanotechnology development platform
By Google Open Source on 21/11/22 11:23
3 min read
GlobalFoundries joins Google’s open source silicon initiative
By Google Open Source on 11/11/22 11:12
By Guest Authors: Johan Euphrosine and Ethan Mahintorabi @ Google
16 min read
How to Use Apache Iceberg in CDP’s Open Lakehouse
By Cloudera on 08/11/22 17:50
By Guest Authors: Bill Zhang, Peter Ableda, Shaun Ahmadian and Manish Maheshwari
9 min read
5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)
By Cloudera on 25/10/22 16:24
By Guest Authors: Shaun Ahmadian and Luiz Carrossoni Neto @ Cloudera
What is Apache Iceberg?
Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer.
By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse.
Let’s highlight some of those benefits, and why choosing CDP and Iceberg can future proof your next generation data architecture.
6 min read
Accelerate your models to production with Google Cloud and PyTorch
By Google Open Source on 20/10/22 11:33
By Guest Authors: Erwin Huizing and Grace Reed @ Google
We believe in the power of choice for Machine Learning development, and continue to invest resources to make it easy for ML practitioners to train, deploy, and orchestrate models from a single unified data and AI cloud platform. We’re excited to announce our role as a founding member of the newly formed PyTorch Foundation, which will better position Google Cloud to make meaningful contributions to the PyTorch community. As a member of the board, we will deepen our open source investment to deliver on the Foundation’s mission to drive adoption of AI tooling by building an ecosystem of open source projects with PyTorch. We strongly believe in choice and will continue to invest in frameworks such as JAX and Tensorflow and support integrations with other OSS Projects including Spark, Airflow, XGBoost, and others.