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  2. Serverless computing - Wikipedia

    en.wikipedia.org/wiki/Serverless_computing

    Serverless computing may not be ideal for certain high-performance computing (HPC) workloads due to resource limits often imposed by cloud providers, including maximum memory, CPU, and runtime restrictions. For workloads requiring sustained or predictable resource usage, bulk-provisioned servers can sometimes be more cost-effective than the pay ...

  3. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [ 1 ] [ 4 ] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.

  4. Limits of computation - Wikipedia

    en.wikipedia.org/wiki/Limits_of_computation

    Seth Lloyd calculated [9] the computational abilities of an "ultimate laptop" formed by compressing a kilogram of matter into a black hole of radius 1.485 × 10 −27 meters, concluding that it would only last about 10 −19 seconds before evaporating due to Hawking radiation, but that during this brief time it could compute at a rate of about ...

  5. Disaggregated storage - Wikipedia

    en.wikipedia.org/wiki/Disaggregated_Storage

    It allows compute resources within a computer server to be separated from storage resources without modifying any physical connections. [ 1 ] A form of composable disaggregated infrastructure , disaggregated storage allows resources to be connected via a network fabric providing flexibility when upgrading, replacing, or adding individual resources.

  6. Reynold Xin - Wikipedia

    en.wikipedia.org/wiki/Reynold_Xin

    In 2013, along with Matei Zaharia and other key Spark contributors, Xin co-founded Databricks, a venture-backed company based in San Francisco that offers data platform as a service, based on Spark. In 2014, Xin led a team of engineers from Databricks to compete in the Sort Benchmark and won the 2014 world record in Daytona GraySort using Spark ...

  7. Amdahl's law - Wikipedia

    en.wikipedia.org/wiki/Amdahl's_law

    According to the law, even with an infinite number of processors, the speedup is constrained by the unparallelizable portion. In computer architecture , Amdahl's law (or Amdahl's argument [ 1 ] ) is a formula that shows how much faster a task can be completed when more resources are added to the system.

  8. AWS Lambda - Wikipedia

    en.wikipedia.org/wiki/AWS_Lambda

    AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers. It executes code in response to events and automatically manages the computing resources required by that code. It was introduced on ...

  9. DBRX - Wikipedia

    en.wikipedia.org/wiki/DBRX

    DBRX is an open-sourced large language model (LLM) developed by Mosaic ML team at Databricks, released on March 27, 2024. [1] [2] [3] It is a mixture-of-experts transformer model, with 132 billion parameters in total. 36 billion parameters (4 out of 16 experts) are active for each token. [4]