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Ana Klimovic - Scalable Input Data Processing for Resource-Efficient Machine Learning 56:04
Ana Klimovic - Scalable Input Data Processing for Resource-Efficient Machine Learning
๐Ÿ“บ DistributedML โ€ข ๐Ÿ‘๏ธ 277 views
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Ana Klimovic's talk on Resource-Efficient ML with Scalable Input Data Processing 59:50
Ana Klimovic's talk on Resource-Efficient ML with Scalable Input Data Processing
๐Ÿ“บ Cornell Database Group โ€ข ๐Ÿ‘๏ธ 163 views
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FastPath2021 - Ana Klimovic 36:39
FastPath2021 - Ana Klimovic
๐Ÿ“บ FastPath Workshop โ€ข ๐Ÿ‘๏ธ 222 views
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Interview Ana Klimovic (ENG) 2:11
Interview Ana Klimovic (ENG)
๐Ÿ“บ Digital Festival โ€ข ๐Ÿ‘๏ธ 1,141 views
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Machine Learning and AI in the Cloud 8:06
Machine Learning and AI in the Cloud
๐Ÿ“บ Project Management โ€ข ๐Ÿ‘๏ธ 120 views
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Industry 1933 10:07
Industry 1933
๐Ÿ“บ VLDB 2021 โ€ข ๐Ÿ‘๏ธ 397 views
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Digital Festival 2021 - Keynote Ana Klimovic 15:06
Digital Festival 2021 - Keynote Ana Klimovic
๐Ÿ“บ Digital Festival โ€ข ๐Ÿ‘๏ธ 641 views
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How to Build Scalable Cloud AI Pipelines Full Guide 2026 1:45
How to Build Scalable Cloud AI Pipelines Full Guide 2026
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Edge & Cloud Next-Gen Architecture Anandh Venkatraman, Bejoy Pankajakshan, Ishu Jain, Malavika Natu 42:14
Edge & Cloud Next-Gen Architecture Anandh Venkatraman, Bejoy Pankajakshan, Ishu Jain, Malavika Natu
๐Ÿ“บ Zinnov โ€ข ๐Ÿ‘๏ธ 128 views
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USENIX ATC '22 - Cachew: Machine Learning Input Data Processing as a Service 19:03
USENIX ATC '22 - Cachew: Machine Learning Input Data Processing as a Service
๐Ÿ“บ USENIX โ€ข ๐Ÿ‘๏ธ 519 views
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Why Use TPUs For Google Cloud AI - AI and Machine Learning Explained 3:58
Why Use TPUs For Google Cloud AI - AI and Machine Learning Explained
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Project presentation: Colocating Latency-Sensitive Tasks with Batch Jobs in the Cloud 6:34
Project presentation: Colocating Latency-Sensitive Tasks with Batch Jobs in the Cloud
๐Ÿ“บ Hongyu Hรจ โ€ข ๐Ÿ‘๏ธ 73 views
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ASPLOS'22 - Session 7A - FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service 13:46
ASPLOS'22 - Session 7A - FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service
๐Ÿ“บ ACM SIGARCH โ€ข ๐Ÿ‘๏ธ 384 views
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๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐ญ๐จ๐ซ๐š๐ ๐ž ๐Œ๐š๐ซ๐ค๐ž๐ญ | ๐Š๐ž๐ฒ ๐†๐ซ๐จ๐ฐ๐ญ๐ก ๐ƒ๐ซ๐ข๐ฏ๐ž๐ซ๐ฌ & ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž ๐“๐ซ๐ž๐ง๐๐ฌ 1:47
๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐ญ๐จ๐ซ๐š๐ ๐ž ๐Œ๐š๐ซ๐ค๐ž๐ญ | ๐Š๐ž๐ฒ ๐†๐ซ๐จ๐ฐ๐ญ๐ก ๐ƒ๐ซ๐ข๐ฏ๐ž๐ซ๐ฌ & ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž ๐“๐ซ๐ž๐ง๐๐ฌ
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SC21 Panel: Beyond the Hype - Is There a Typical AI ML Storage Workload 1:32:10
SC21 Panel: Beyond the Hype - Is There a Typical AI ML Storage Workload
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Ana Klimovic Scalable Input Data Processing For Resource Efficient Machine Learning Information Guide

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Machine Learning and AI in the Cloud
Machine Learning and AI in the Cloud
Industry 1933
Industry 1933
Digital Festival 2021 - Keynote Ana Klimovic
Digital Festival 2021 - Keynote Ana Klimovic
How to Build Scalable Cloud AI Pipelines Full Guide 2026
How to Build Scalable Cloud AI Pipelines Full Guide 2026
Edge & Cloud Next-Gen Architecture Anandh Venkatraman, Bejoy Pankajakshan, Ishu Jain, Malavika Natu
Edge & Cloud Next-Gen Architecture Anandh Venkatraman, Bejoy Pankajakshan, Ishu Jain, Malavika Natu
USENIX ATC '22 - Cachew: Machine Learning Input Data Processing as a Service
USENIX ATC '22 - Cachew: Machine Learning Input Data Processing as a Service
Why Use TPUs For Google Cloud AI - AI and Machine Learning Explained
Why Use TPUs For Google Cloud AI - AI and Machine Learning Explained
Project presentation: Colocating Latency-Sensitive Tasks with Batch Jobs in the Cloud
Project presentation: Colocating Latency-Sensitive Tasks with Batch Jobs in the Cloud
ASPLOS'22 - Session 7A - FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service
ASPLOS'22 - Session 7A - FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service
๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐ญ๐จ๐ซ๐š๐ ๐ž ๐Œ๐š๐ซ๐ค๐ž๐ญ | ๐Š๐ž๐ฒ ๐†๐ซ๐จ๐ฐ๐ญ๐ก ๐ƒ๐ซ๐ข๐ฏ๐ž๐ซ๐ฌ & ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž ๐“๐ซ๐ž๐ง๐๐ฌ
๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐š๐ญ๐ข๐จ๐ง๐š๐ฅ ๐’๐ญ๐จ๐ซ๐š๐ ๐ž ๐Œ๐š๐ซ๐ค๐ž๐ญ | ๐Š๐ž๐ฒ ๐†๐ซ๐จ๐ฐ๐ญ๐ก ๐ƒ๐ซ๐ข๐ฏ๐ž๐ซ๐ฌ & ๐…๐ฎ๐ญ๐ฎ๐ซ๐ž ๐“๐ซ๐ž๐ง๐๐ฌ
SC21 Panel: Beyond the Hype - Is There a Typical AI ML Storage Workload
SC21 Panel: Beyond the Hype - Is There a Typical AI ML Storage Workload

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Last Updated: August 17, 2026

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