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Der nächste Quantensprung bei Datacenter Technologien steht vor der Tür

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Präsentation von Martin Casaulta, Country Chief Technologist, Hewlett Packard Enterprise (Schweiz), Konferenz «Mehr Effizienz in Rechenzentren und Serverräumen» 25. September 2018, BERNEXPO, Bern

Published in: Technology
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Der nächste Quantensprung bei Datacenter Technologien steht vor der Tür

  1. 1. Der nächste Quantensprung bei Datacenter Technologien steht vor der Tür Martin Casaulta Chief Technologist Hewlett Packard Enterprise, Schweiz martin.casaulta@hpe.com September 2018 | asut | Konferenz «Mehr Effizienz in Rechenzentren und Serverräumen»
  2. 2. Intro Video [Next Frontier]
  3. 3. Der nächste Quantensprung bei Datacenter Technologien steht vor der Tür Martin Casaulta Chief Technologist Hewlett Packard Enterprise, Schweiz martin.casaulta@hpe.com September 2018 | asut | Konferenz «Mehr Effizienz in Rechenzentren und Serverräumen»
  4. 4. ?
  5. 5. 8Bpeople 20Bconnected devices 100Bsocial infrastructure apps x x x 1TDataVolumeandSystemResponsiveness Time Systems of action Systems of engagement Systems of record Intelligent edge Beyond Facebook 2004 Olympics Nagano, Japan 2020 Smart car 2016 Twitter 2006 By 2020, there will be…
  6. 6. >2%
  7. 7. Body Size vs. Thumbnail > 1 Pb/s
  8. 8. Laser-On-CHIP
  9. 9. 160 250 PB nsin
  10. 10. System Architecture – Today On-chip Cache Main Memory Mass Storage SRAM DRAM Flash HDD
  11. 11. System Architecture – In the Future On-chip Cache Universal Memory / Storage SRAM MEMRISTOR or alternative memory-class storage
  12. 12. Processor-centric Computing Today’s Architecture Memory-driven Computing Future Architecture GPU ASIC Quantum RISC Memory Fabric Memory Memory Memory Memory CPU CPU CPU CPU
  13. 13. THE MACHINE Prototype Node
  14. 14. 160TB | 40 Nodes
  15. 15. How big is 160 terabytes? =160 millionbooks worth of content 5x over every book in the Library of Congress
  16. 16. 1’000’000’000’000’000’000
  17. 17. >500K ~100 days security events per minute average time to intrusion detection Denial-of-service attacks Network security breaches Malware-infected firmware
  18. 18. 15x Faster 40x Faster 100x Faster 10,000x Faster In-memory Analytics Large- scale Graph Inference Similarity Search Financial Models
  19. 19. Core Memory-Driven Computing Components & Benefits Fast, Persistent Memory Fast Memory Fabric Task-specific Processing New and Adapted Software 80% O/S code reduction, i.e. massively improved energy household 1000x less energy needed to store data at scale 100x lower energy consumption transferring data Optimal compute/energy ratio eliminating energy waste
  20. 20. The our vision for the future of computing.

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