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Anomaly Detection with R, H20 and MinIO
Learn about anomaly detection and autoencoding with R, H2O and MinIO.
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Machine Learning Using H20, R and MinIO
I’ve been working with neural networks and machine learning since the late ‘80. Yes, I’m that old. The first product I bought was California Scientific Software BrainMaker Professional. I loved that product because it got me started with neural networks. I still have it: It was a 3 layer neural network product that came with source code in
Read more...The Architect’s Guide to Using AI/ML with Object Storage
This post first appeared in The New Stack. With the constant evolution of the enterprise, machine learning and artificial intelligence have become board-level initiatives. Marketing claims aside, capabilities that seemed almost mythical a few years ago are now taken for granted as AI/ML becomes baked into every software stack and architecture. This is becoming known as AI-first architecture. In
Read more...How to Install and Configure Kubeflow with MinIO Operator
Kubeflow is a modern solution to design, build and orchestrate Machine Learning pipelines using the latest and most popular frameworks. Out of the box, Kubeflow ships with MinIO inside to store all of its pipelines, artifacts and logs, however that MinIO is limited to a single PVC and thus cannot benefit from all the features a distributed MinIO brings to
Read more...Object Storage is Primary Storage
Stellar performance-at-scale, flexibility and consistency make object storage the best choice for cloud-native enterprises.
Read more...Machine Learning Pipelines with Kubeflow and MinIO on Azure
Learn how to run Kubeflow on Azure Kubernetes Service with MinIO.
Read more...Hyper-Scale Machine Learning with MinIO and TensorFlow
We are living in a transformative era defined by information and AI. Massive amounts of data are generated and collected every day to feed these voracious, state-of-the-art, AI/ML algorithms. The more data, the better the outcomes. One of the frameworks that has emerged as the lead industry standards is Google's TensorFlow [https://www.tensorflow.org/]. Highly versatile, one can
Read more...Five Strata Takeaways
With another Strata in the rearview mirror, it is time to reflect on what we saw and heard during the week. Strata is clearly a data science show at this point but data science is broad topic. Our perspective, as a provider of high performance object storage, is framed accordingly and we focus on the data stack more than we
Read more...Building an on-premise ML ecosystem with MinIO Powered by Presto, R and S3 Select Feature
One of the key challenges in any digitization journey is the adoption of machine learning techniques. Given the explosion of tools and frameworks, it can be difficult
Read more...Introducing Spark-Select for MinIO Data Lakes
When early object storage APIs were developed they focused on the efficient storage and retrieval of objects. Amazon’s success with S3 and its implementation of the robust S3 API quickly became the de facto standard for object storage in the cloud. MinIO, recognizing this, invested heavily in creating the most compliant implementation of the S3 API outside of Amazon.
Read more...Containerized data analytics at scale, with MinIO and Pachyderm
Containers running on orchestration platforms like Kubernetes, Docker Swarm, DC/OS et al. offer powerful, versatile ways to deploy applications. Containers let you deploy isolated application instances, and you can launch multiple such instances to scale up your load serving capacity. You don’t even need to worry about individual server capacities and scheduling thanks to orchestration tool, which provide
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