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Charles Humble

Surrey

Journalist at Freelance

Freelance techie, podcaster, editor, author and consultant, 1/2 of ambient techno band Twofish. I'd rather be making music.

Articles

  • 1 week ago | thenewstack.io | Charles Humble

    As demand for AI surges, figuring out the performance of proprietary AI models is only half the battle. The other half: reckoning with how much energy AI demands. By 2030 the U.S. alone is set to consume more electricity for data centers than for the production of aluminum, steel, cement, chemicals and all other energy-intensive goods combined, according to a sweeping report released in April by the International Energy Agency (IEA).

  • 2 weeks ago | thenewstack.io | Charles Humble

    Disclosure: The author wrote this post on behalf of cycle.io. Cycle, the lowops Kubernetes alternative, has announced two new features that take it from cloud container orchestration to being a comprehensive compute platform for containers, virtual machines (VMs), and functions that you can run anywhere. Cycle combines two things: Platform orchestration and infrastructure management.

  • 4 weeks ago | thenewstack.io | Charles Humble

    The classical machine learning paradigm requires the aggregation of user data in a central location where data scientists can pre-process it, calculate features, tune models and evaluate performance. The advantages of this approach include being able to leverage high-performance hardware (such as GPUs), and the scope for a data science team to perform in-depth data analysis to improve model performance.

  • 1 month ago | thenewstack.io | Charles Humble

    Alongside data lake support for Microsoft Fabric, data integration vendor Fivetran expanded its Managed Data Lake Service to support Google’s Cloud Storage (GCS), following previous launches on AWS and Azure. The Fivetran Managed Data Lake Service, which the vendor launched last year, automatically converts data into open table formats, specifically Apache Iceberg and Delta Lake, and facilitates interoperability with popular query engines and metadata catalogs.

  • 2 months ago | thenewstack.io | Charles Humble

    When I first started as an enterprise developer in the mid 1990s, everything ran in our on-premises data centers, and procurement was slow. Purchasing servers, racking them and installing all the base software on them would take around three months, sometimes longer. A side effect was that when we were sizing a project to forecast how much hardware was needed, we would typically overprovision.

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