From bef471d531e28e796e1d570ce4fc2c60f2a46b57 Mon Sep 17 00:00:00 2001 From: Zishen Date: Tue, 5 Dec 2023 16:48:22 -0500 Subject: [PATCH 1/3] Adding fig to embedded_ml cloud ml --- embedded_ml.qmd | 2 ++ images/imgs_embedded_ml/cloud_ml_tpu.jpg | Bin 0 -> 143986 bytes 2 files changed, 2 insertions(+) create mode 100644 images/imgs_embedded_ml/cloud_ml_tpu.jpg diff --git a/embedded_ml.qmd b/embedded_ml.qmd index 5538f22c..81552a18 100644 --- a/embedded_ml.qmd +++ b/embedded_ml.qmd @@ -42,6 +42,8 @@ At its foundation, Cloud ML utilizes a powerful blend of high-capacity servers, The cloud environment excels in data processing and model training, designed to manage large data volumes and complex computations. Models crafted in Cloud ML can leverage vast amounts of data, processed and analyzed centrally, thereby enhancing the model's learning and predictive performance. +![Cloud ML Example: Google Tensor Pods in Operating Running Intent](images/imgs_embedded_ml/cloud_ml_tpu.jpg) + ### Benefits Cloud ML is synonymous with immense computational power, adept at handling complex algorithms and large datasets. 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z@|~Yycm^HV>3+@1Ca4UD`MUTqNH&@H?)5Hp%hUcybu<7|cJ6TM#|Nu}+^P_jLyLbF zcy$%mulan3(S`kDhk78JP`Mdcr93p${;`otm+i~p@J_$^6f-Mhr%MI;C+(=Vd^K#G zGdZyxXW6%+t;IG<-beGjwC1`aow(c}5{}2-Tjq#a=w}lkrXA7;wc=qi;(rp18tw51 za6~lnFT;)JM7u-+6K!C9ou%TmLQJdEV%yt^;6_%PkC(m#lR{0NDLxNKbP&O7yoNb5 zoA*X!H&P!xew4->F9D?J{|l(Bpb2h}KS0g*wVSnI4MnR&j9Vce)oA#}h%Raau)#Yr_h)#vPj0ChHt@WNsz-8k z^Yi6Vbn);#{rSgNvPS77@utJSPPDHzENXiL&%h>UFqy|XWFmuHKY{OLxRMh)2eFLa zKesGTfJABHPas>UhvTthOQmV#<2#v{+^p_*b`h34xf&a*IY0R<0jHXP!jV=iDb`B` znq4%!SBq2wNoB6qzH)x2f9&7JaXuYtPgcWFxRHI3!otNI5m@cAwrLJ;@JU@^EA-D_ zU<`uMhd=6fks}5J!62fk)82~g>Svpd3)E$*lYayTndQgpLIgYoNl7TxE^@~_ zD5uVnA9z;KhFx*Z(AA2&(J->T6iMQ^i|=2_bFoL1)Yem&u&k;x@-C`aj(ryQuCC8B z&NEJOBhD#lts^RgOS<3N?ro>pts$>ABgdc`ipm% z-U6wTbK~`wgiT)o!;}?S1ThNxoKkjaaZNeajlp+J2o&$Nhw76 Date: Tue, 5 Dec 2023 17:04:57 -0500 Subject: [PATCH 2/3] Adding fig to embedded_ml cloud ml --- embedded_ml.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/embedded_ml.qmd b/embedded_ml.qmd index 81552a18..a7758129 100644 --- a/embedded_ml.qmd +++ b/embedded_ml.qmd @@ -42,7 +42,7 @@ At its foundation, Cloud ML utilizes a powerful blend of high-capacity servers, The cloud environment excels in data processing and model training, designed to manage large data volumes and complex computations. Models crafted in Cloud ML can leverage vast amounts of data, processed and analyzed centrally, thereby enhancing the model's learning and predictive performance. -![Cloud ML Example: Google Tensor Pods in Operating Running Intent](images/imgs_embedded_ml/cloud_ml_tpu.jpg) +![Cloud ML Example: Google Tensor Pods (Source: Google)](images/imgs_embedded_ml/cloud_ml_tpu.jpg) ### Benefits From 8b51765d7b9b672954b320953f5208719736adf8 Mon Sep 17 00:00:00 2001 From: Vijay Janapa Reddi Date: Tue, 5 Dec 2023 17:48:03 -0500 Subject: [PATCH 3/3] Fixed image source --- embedded_ml.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/embedded_ml.qmd b/embedded_ml.qmd index a7758129..23dc9321 100644 --- a/embedded_ml.qmd +++ b/embedded_ml.qmd @@ -42,7 +42,7 @@ At its foundation, Cloud ML utilizes a powerful blend of high-capacity servers, The cloud environment excels in data processing and model training, designed to manage large data volumes and complex computations. Models crafted in Cloud ML can leverage vast amounts of data, processed and analyzed centrally, thereby enhancing the model's learning and predictive performance. -![Cloud ML Example: Google Tensor Pods (Source: Google)](images/imgs_embedded_ml/cloud_ml_tpu.jpg) +![Cloud ML Example: Google Tensor Pods (Source: [InfoWorld](https://www.infoworld.com/article/3197331/googles-new-tpus-are-here-to-accelerate-ai-training.html))](images/imgs_embedded_ml/cloud_ml_tpu.jpg) ### Benefits