Carousell俾人呃咗幾千蚊，唔肯面交基本上係騙子（RTX-3090）
貧窮小TA
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咁廢既post樓豬就咪再推上黎啦 屌你係咁星期三 到時再返黎啦戇鳩
+1
大撚哂咩
你7就梗嫁啦
以為一定追得番?
你7就梗嫁啦
以為一定追得番?
仲要膊頭有花
使鬼喺度開Po
使鬼喺度開Po
佢根本成個弱智咁 
除左比人呃係真話之外, 都唔知邊句真 又話自己做研究又要講識督察又要上網自爆比人呃又要等星期三, 全部故仔都鳩下鳩下咁
除左比人呃係真話之外, 都唔知邊句真
又話自己做研究又要講識督察又要上網自爆比人呃又要等星期三, 全部故仔都鳩下鳩下咁 hardware始終會breakeven??
hardware都會死
你income > cloud exp 就可以贏
咁點解你覺得自家hardware 一定贏？
全地球既大公司都轉緊用cloud 因為條數係cloud 平
分別係你coding 唔夠仔細有令算力大增
利申：純鳩up
hardware都會死
你income > cloud exp 就可以贏
咁點解你覺得自家hardware 一定贏？
全地球既大公司都轉緊用cloud 因為條數係cloud 平
分別係你coding 唔夠仔細有令算力大增
利申：純鳩up
少數怕長計，長用cloud貴過自己hardware（已經未貴學校免費電）
https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/
When is it better to use the cloud vs a dedicated GPU desktop/server?
Rule-of-thumb: If you expect to do deep learning for longer than a year, it is cheaper to get a desktop GPU. Otherwise, cloud instances are preferable unless you have extensive cloud computing skills and want the benefits of scaling the number of GPUs up and down at will.
For the exact point in time when a cloud GPU is more expensive than a desktop depends highly on the service that you are using, and it is best to do a little math on this yourself. Below I do an example calculation for an AWS V100 spot instance with 1x V100 and compare it to the price of a desktop with a single RTX 3090 (similar performance). The desktop with RTX 3090 costs $2,200 (2-GPU barebone + RTX 3090). Additionally, assuming you are in the US, there is an additional $0.12 per kWh for electricity. This compares to $2.14 per hour for the AWS on-demand instance.
At 15% utilization per year, the desktop uses:
(350 W (GPU) + 100 W (CPU))*0.15 (utilization) * 24 hours * 365 days = 591 kWh per year
So 591 kWh of electricity per year, that is an additional $71.
The break-even point for a desktop vs a cloud instance at 15% utilization (you use the cloud instance 15% of time during the day), would be about 300 days ($2,311 vs $2,270):
$2.14/h * 0.15 (utilization) * 24 hours * 300 days = $2,311
So if you expect to run deep learning models after 300 days, it is better to buy a desktop instead of using AWS on-demand instances.
https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/
When is it better to use the cloud vs a dedicated GPU desktop/server?
Rule-of-thumb: If you expect to do deep learning for longer than a year, it is cheaper to get a desktop GPU. Otherwise, cloud instances are preferable unless you have extensive cloud computing skills and want the benefits of scaling the number of GPUs up and down at will.
For the exact point in time when a cloud GPU is more expensive than a desktop depends highly on the service that you are using, and it is best to do a little math on this yourself. Below I do an example calculation for an AWS V100 spot instance with 1x V100 and compare it to the price of a desktop with a single RTX 3090 (similar performance). The desktop with RTX 3090 costs $2,200 (2-GPU barebone + RTX 3090). Additionally, assuming you are in the US, there is an additional $0.12 per kWh for electricity. This compares to $2.14 per hour for the AWS on-demand instance.
At 15% utilization per year, the desktop uses:
(350 W (GPU) + 100 W (CPU))*0.15 (utilization) * 24 hours * 365 days = 591 kWh per year
So 591 kWh of electricity per year, that is an additional $71.
The break-even point for a desktop vs a cloud instance at 15% utilization (you use the cloud instance 15% of time during the day), would be about 300 days ($2,311 vs $2,270):
$2.14/h * 0.15 (utilization) * 24 hours * 300 days = $2,311
So if you expect to run deep learning models after 300 days, it is better to buy a desktop instead of using AWS on-demand instances.
#未計
我賣張SD卡$120都引到騙子ACCOUNT要求郵寄畀佢
衰啲講 抵你死喎
Carousell咁多騙子 仲要你已經奶過一次野都冇學到教訓
上次冇咗500當買個教訓但你冇學到
今次重蹈覆轍仲蝕多咗個零 咁係抵死喎
Carousell咁多騙子 仲要你已經奶過一次野都冇學到教訓
上次冇咗500當買個教訓但你冇學到
今次重蹈覆轍仲蝕多咗個零 咁係抵死喎
賣平咁多仲要郵寄你都肯落疊 受騙的那個比騙途更混帳
受騙的那個比騙途更混帳其實你都幾撚on9
報警就報警講咁撚多做乜撚野姐?
報警就報警講咁撚多做乜撚野姐?
報警都要擇日笑死，睇黎星期三係樓主大奇蹟日
諗住慳返少少budget，可以買多啲ram或者HDD
就快接收多400-500 TB HDD，本身已經有1000TB ，research唔夠用，私伙野冇得claim
就快接收多400-500 TB HDD，本身已經有1000TB ，research唔夠用，私伙野冇得claim
Ching講得好啱
1000TB
買HDD都用左20萬？
買HDD都用左20萬？因為要接收某啲寶貴datum，依家唔儲，N年後retrieve唔到/買嘅話會更加貴
唔講咩類型，太容易起底，有私伙A100 80GB嘅lab好少，我哋都超級低調（僧多粥少，唔想太多人知，尤其係HPC資源太緊張）
香港就算commercial都唔多R&D用，大多都係幾年前嘅2080ti
不過同medical school搞bioinformatic啲人好熟，第日唔怕畢唔到業，因為隨時可以抱大腿出paper、混水摸魚拎埋個PHD🤪🤪🤪
唔講咩類型，太容易起底，有私伙A100 80GB嘅lab好少，我哋都超級低調（僧多粥少，唔想太多人知，尤其係HPC資源太緊張）
香港就算commercial都唔多R&D用，大多都係幾年前嘅2080ti
不過同medical school搞bioinformatic啲人好熟，第日唔怕畢唔到業，因為隨時可以抱大腿出paper、混水摸魚拎埋個PHD🤪🤪🤪
唉，好6+1，已經有唔一個相熟professor恥笑我
呢兩日返campus開會，見面第一句就係有啲平靚正嘅GPU要唔要? 不過要過咗數先
呢兩日返campus開會，見面第一句就係有啲平靚正嘅GPU要唔要? 不過要過咗數先