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Key Trends Shaping Cloud Infrastructure and Edge Infrastructure
- 1. TRENDS SHAPING THE FUTUREOF CLOUD NATIVE AND EDGE CHERYL HUNG, OICHERYL.COM EDGECASE, AMERSFOORT, 24 SEPTEMBER 2024
- 2. CHERYL HUNG Sr Director Founder,Cloud Native London
- 3. Vendor-owned Open Source TheAge of AI Building the Future, Together
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- 9. OPEN SOURCE FLYWHEEL •Speed Innovation • Drive Adoption • Improve Reliability
- 10. OPEN SOURCE FLYWHEEL •Speed Innovation • Drive Adoption • Improve Reliability • Pay for support • Open Core • SaaS
- 11. OPEN SOURCE RELICENSING Oct2018, MongoDB AGPLv3 > SSPL Feb 2019, Redis Modules under Redis Source Available License Jan 2021, Elasticsearch Apache2 > SSPL, Elastic License Apr 2021, Grafana Apache2 > AGPLv3 Aug 2023, Terraform MPL 2.0 > Business Source License
- 12. linkerd.io/2024/02/21/announcing-linkerd-2.15/ “While Linkerd willalways be open source, as of Linkerd 2.15, producing stable Linkerd releases will be in the hands of the vendor community”
- 13. MANAGE YOUR OPENSOURCE EXPOSURE
- 14. MANAGE YOUR OPENSOURCE EXPOSURE Which open-source license does it use?
- 15. MANAGE YOUR OPENSOURCE EXPOSURE Which open-source license does it use? Can you automate compliance checks?
- 16. MANAGE YOUR OPENSOURCE EXPOSURE Which open-source license does it use? Can you automate compliance checks? Who’s behind the open source?
- 17. MANAGE YOUR OPENSOURCE EXPOSURE Which open-source license does it use? Can you automate compliance checks? Who’s behind the open source? What’s the governance policy?
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- 20. ❑Yes, in production ❑Yes,but not in production ❑No, but considering in the next 12 months ❑No, not considering DOES YOUR ORG RUN AI WORKLOADS?
- 21. >50% of estData Center capacity dedicated for AI Training and Inferencing Data Proliferation - Global Data Use to Reach 175 Zetta Bytes by 2025 Sustainability - Infrastructure Consumes 3% of Global Energy
- 22. Training (GPUs, TPUs) Inference (CPUs) *Source:Schneider Electric – AI Disruption Report 2023 15% 85%
- 23. “The era oflarge models is over, and the focus will now turn to specializing and customizing these models. Real value is unlocked only when these models are tuned on customer and domain specific data.” Sam Altman, CEO OpenAI
- 24. Lab Reference Range ID 70B Financial Sentiment Analysis13B Code completion and creation 7-70B
- 25. NEED FOR SPECIALIZEDCOMPUTE AT LOW TCO (PERF/WATT) AT SCALE Moore’s Law Can’t Keep Up Sustainability - Infrastructure Consumes 3% of Global Energy
- 26. Internet connected IoTdevices expected to double to 30 billion by 2030
- 28. WHAT IS CLOUDNATIVE AI?
- 29. WHAT IS CLOUDNATIVE AI? Leveraging cloud computing (CPUs, GPUs), network and storage, with isolation and controlled sharing mechanisms, to deploy, run, and scale AI workloads.
- 30. WHAT IS CLOUDNATIVE AI? Leveraging cloud computing (CPUs, GPUs), network and storage, with isolation and controlled sharing mechanisms, to deploy, run, and scale AI workloads. WHY?
- 31. WHAT IS CLOUDNATIVE AI? Leveraging cloud computing (CPUs, GPUs), network and storage, with isolation and controlled sharing mechanisms, to deploy, run, and scale AI workloads. WHY? Accelerate performance, reduce cost
- 33. • Resource Provisioning •Cost control • Observability • Disaster Recovery • Security • Sustainability CHALLENGES
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- 36. ECOSYSTEM • AI Engineering •Safety by Design • Education for kids and students
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- 39. RESOURCES • CNCF AnnualSurvey 2023: cncf.io/reports/cncf-annual- survey-2023/ • Cloud Native AI White Paper: cncf.io/reports/cloud-native- artificial-intelligence-whitepaper/ • Health of Linkerd project: github.com/cncf/toc/issues/1262