<br> # My Thoughts - ecosystem /ˈiːkəʊsɪstəm/ ==이==코시스템 - when it comes to: ~에 관해서라면, ~와 관련해서 #### Why? (목적 - 왜 기록하는가?) - 영어 스터디 진행 상황을 트래킹 #### How? (방법 - 어떻게 활용할까?) - 학습 인증을 통해 지속적인 추진력을 얻는다. #### What? (결과 - 무엇을 창조할까?) - 눈에 띄는 표현을 외우고 활용한다. <br> # Summary - Speak aloud - 14:53 ## Highlights - Cisco, HPE, and other vendors are rolling out enterprise AI packages that bundle GPUs, networking, storage and cooling tech into ready-to-deploy systems. - On-premises AI does offer some benefits. Companies can keep their data local, for example, or reduce lag by putting their computing capacity close to where it is needed. And if companies know they’re going to need a predictable amount of computing every month, on-premises deployments can even reduce costs. - “One of the challenges for AI — for any brand new technology — is putting the right combination of infrastructure together to make the technology work,” says Zeus Kerravala, founder and principal analyst at ZK Research. “If one of those components isn’t on par with the other two, you’re going to be wasting your money.” - And vendors are stepping up to handle the second problem, with packaged AI offerings that integrate servers, storage and networking into one convenient package, ready to deploy on-prem or in a colocation facility. - For example, Cisco and Nvidia just [expanded their partnership](https://www.networkworld.com/article/3832700/cisco-nvidia-expand-ai-partnership-to-include-silicon-one-technology.html) to bolster AI in the data center.   The vendors said Nvidia will couple Cisco Silicon One technology with Nvidia SuperNICs as part of its Spectrum-X Ethernet networking platform, and Cisco will build systems that combine Nvidia Spectrum silicon with Cisco OS software. - These and other packaged AI solutions will make it easier for more enterprises to deploy AI, experts say, though Cisco and HPE have the strongest offerings and the most robust ==ecosystems==. - “It’s going to be a different type of storage — probably object storage rather than file block storage,” says Harvey. - “The networking in AI is very, very different to the networking in a standard environment,” says Harvey. “If I drop my AI cluster on a core backbone network, my core backbone network would stop working.” - The packaged AI solutions address this problem by creating a separate network just for the AI. - When it comes to AI, other chip makers have been lagging far behind Nvidia in capability, scale, or both. <br> ## Words and Idioms ### ecosystem /ˈiːkəʊsɪstəm/ ==이==코시스템 all the plants and living creatures in a particular area considered in relation to their physical environment ### when it comes to [[영어 표현 - when it comes to vs. in terms of]] <br> # References [Packaged offerings promise to make AI infrastructure deployment easier \| Network World](https://www.networkworld.com/article/3833863/packaged-offerings-promise-to-make-ai-infrastructure-deployment-easier.html) <br> # Links [[_MOC_2_English]] <br> # Tags #english #study #cisco #hpe #ai #nvidia <br> # Aliases #영어 #공부 #시스코 #인공지능 #엔비디아 <br>