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Beyond the Hype: The Truth behind the Marketing Claims of Many New Data Storage Platforms

Pure Storage

Beyond the Hype: The Truth behind the Marketing Claims of Many New Data Storage Platforms by Pure Storage Blog This is Part 1 of a five-part series diving into the claims of new data storage platforms. With each upgrade, customer s deal with unnecessary expenses, impacts on system availability, and scheduled downtime.

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TPUs vs. GPUs: What’s the Difference?

Pure Storage

TPUs vs. GPUs: What’s the Difference? by Pure Storage Blog Processing units are essential parts of a computer system. In this blog, we’ll compare TPUs versus GPUs in terms of their performance, uses, and trends. Use Cases for TPUs vs. GPUs Now let’s look at some tasks that TPUs and GPUs are best suited for. What Is a TPU?

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Btrfs vs. ZFS

Pure Storage

Btrfs vs. ZFS by Pure Storage Blog With any new Linux server build, administrators need to determine the file system that supports fault tolerance without negatively impacting performance. Btrfs vs. ZFS Once you choose a partitioning format, it’s a lot more effort to change it.

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All-flash Arrays vs. Hard Disk Drives: 5 Myths About HDDs

Pure Storage

All-flash Arrays vs. Hard Disk Drives: 5 Myths About HDDs by Pure Storage Blog It’s no secret data growth is on the rise. Myth 4: HDDs Are Sufficiently Reliable The reliability of HDDs decreases with age, leading to higher failure rates.

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containerd vs. Docker: What’s the Difference?

Pure Storage

It’s available for both Linux and Windows. . containerd vs. CRI-O. Docker vs. containerd: FAQ. Easily meet scalability and reliability needs. . The post containerd vs. Docker: What’s the Difference? appeared first on Pure Storage Blog. How containerd Works. Figure 1: How containerd works. Source: Docker .

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How to Back Up Azure Blob Storage

Pure Storage

How to Back Up Azure Blob Storage by Pure Storage Blog Azure , Microsoft’s cloud computing service, offers a range of storage options, including the widely used Azure Blob Storage. Blob storage is stored in Azure data centers globally, ensuring data locality and high availability. How Do I Back Up My Azure Blob Storage?

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MLOps - A Quick and Easy Guide to Model Deployment using Azure Functions

Advancing Analytics

Introduction Deploying machine learning (ML) models into production can be challenging, as it requires careful consideration of various factors such as scalability, reliability, and maintainability. If you want to learn more about MLOps or the MLOps lifecycle then check out this awesome blog by Tori here !