From ab1e7b2869350e452db050f49bf5c2dda397cc6e Mon Sep 17 00:00:00 2001 From: Rohit Sharma Date: Fri, 31 May 2024 15:02:00 +0530 Subject: [PATCH] Add new CNCF case study to Knative website (#5987) * Add new CNCF case study to Knative website * Apply suggested changes * Add latest case-studies --- config/nav.yml | 1 + docs/about/case-studies/README.md | 4 +++ docs/about/case-studies/ibm.md | 38 ++++++++++++++++++++++ docs/images/case-studies/ibm.png | Bin 0 -> 6833 bytes overrides/assets/stylesheets/home.css | 13 ++------ overrides/home.html | 44 +++++++------------------- 6 files changed, 57 insertions(+), 43 deletions(-) create mode 100644 docs/about/case-studies/ibm.md create mode 100644 docs/images/case-studies/ibm.png diff --git a/config/nav.yml b/config/nav.yml index 7d594be55..313e634e0 100644 --- a/config/nav.yml +++ b/config/nav.yml @@ -318,6 +318,7 @@ nav: - Case studies: - List of Case Studies: about/case-studies/README.md - deepc: about/case-studies/deepc.md + - IBM: about/case-studies/ibm.md - Outfit7: about/case-studies/outfit7.md - Puppet: about/case-studies/puppet.md - PNC Bank: about/case-studies/pnc.md diff --git a/docs/about/case-studies/README.md b/docs/about/case-studies/README.md index 8d9e45aad..3f6e8f4c5 100644 --- a/docs/about/case-studies/README.md +++ b/docs/about/case-studies/README.md @@ -9,6 +9,10 @@ hide: AI Startup deepc Connects Researchers to Radiologists with Knative Eventing + + IBM logo + IBM watsonx Assistant uses Knative Eventing to train machine learning models + Game maker Outfit7 automates high performance ad bidding with Knative Serving diff --git a/docs/about/case-studies/ibm.md b/docs/about/case-studies/ibm.md new file mode 100644 index 000000000..9b7937db9 --- /dev/null +++ b/docs/about/case-studies/ibm.md @@ -0,0 +1,38 @@ +--- +hide: + - toc +--- +

IBM Case Study

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+ IBM logo +
+
+“We were looking for a solution that would be simple enough to maintain while providing 100% ownership to the service team in all aspects. We prototyped a system in early 2022 using Knative Eventing (backed by Knative Kafka Broker) for our watsonx Assistant use-case. Our initial results exceeded our existing benchmarks at various levels. After investing enough time to make it production ready, we rolled it out across all production IBM cloud clusters in six geographical regions.” + +
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+ +		 +

IBM watsonx Assistant uses Knative Eventing to train machine learning models

+ +As IBM’s strategy on cloud evolved and moved towards private and hybrid cloud, solutions such as IBM Cloud Pak for Data and Managed Cloud Service Provider (MCSP) now require highly portable watsonx services capable of running on customer hardware, private infrastructure, and datastore providers that IBM will not have access to. Our existing machine learning training infrastructure, originally designed with a focus on public cloud infrastructure a few years ago, underwent an upgrade to ensure compatibility across various cloud infrastructure solutions. However, as our customer base expanded across these platforms, the associated cost of operations increased. In parallel there was growing pressure to improve the machine learning training time to improve the client experience. Over the course of time, we have heavily optimized our intent recognition algorithms and training infrastructure stack to reduce training time from 3.5 minutes to an impressive 90 seconds. Nevertheless, further optimizations posed challenges, including issues related to resource utilization and backpressure handling in a distributed setup. Recognizing the need for a comprehensive solution, we embarked on a paradigm shift to redefine our entire ML training infrastructure. + +

Please read the full case study at CNCF site

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  • How IBM watsonx Assistant uses Knative Eventing to train machine learning models
    • + +

    Find out more

    + + +
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    - +

    - "It should be possible for - somebody with an algorithm to have it on the platform in an hour"

    - - —Andrew Webber,
    - Senior Software Engineer for deepc + "Knative allowed the team to centralize their system, scale, audit, and + even select events while enforcing policies and simplifying the architecture"
    - +

    - "The community support is - really great. The hands-on - experience with Knative was - so impressive. On the Slack - channel, we got actual - engineers to answer our questions"

    - - —Tilen Kavcic,
    - Software Engineer for Outfit7 + "The introduction of the ML training infrastructure using Knative Eventing + has enabled us to establish a well-defined operational boundary for the service teams."
    - +

    - "I'm a strong believer in - working with open-source - vendors. We've made - contributions to numerous - projects, including Tekton, - Knative, Ambassador, and - gVisor --All of which we depend - on to make our product - functional."

    - - —Noah Fontes,
    - Senior Principal Software Engineer for
    Puppet + "The power of Knative’s eventing and serverless features allows PNC to bridge processes + between Apache Kafka and CI/CD toolchain events and achieve this automated state."