Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.
According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.
By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.
Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.
Learn more below ⬇️
https://t.co/7WanoPNKTR
One year since Air India Flight 171 crash, and this photo still haunts.
Doctor couple. Husband in the UK, wife in India, three kids. After six years, he finally got approval to bring his family to the UK permanently. Bags packed, flight boarded, a new life awaited. If only...
🇺🇸🇮🇳 The DOJ is dropping all fraud & bribery charges against Indian billionaire Gautam Adani.
The case was filed under Biden.
Now, after Adani hired Trump’s lawyer and dangled a $10B U.S. investment + 15,000 jobs… the charges are suddenly going away.
Nothing to see here, boys!
Source: NY Times
Kubernetes is beautiful.
Every Concept Has a Story, you just don't know it yet.
In k8s, you run your app as a pod. It runs your container. Then it crashes, and nobody restarts it. It is just gone.
So you use a Deployment. One pod dies and another comes back. You want 3 running, it keeps 3 running.
Every pod gets a new IP when it restarts. Another service needs to talk to your app but the IPs keep changing. You cannot hardcode them at scale.
So you use a Service. One stable IP that always finds your pods using labels, not IPs. Pods die and come back. The Service does not care.
But now you have 10 services and 10 load balancers. Your cloud bill does not care that 6 of them handle almost no traffic.
So you use Ingress. One load balancer, all services behind it, smart routing. But Ingress is just rules and nobody executes them.
So you add an Ingress Controller. Nginx, Traefik, AWS Load Balancer Controller. Now the rules actually work.
Your app needs config so you hardcode it inside the container. Wrong database in staging. Wrong API key in production. You rebuild the image every time config changes.
So you use a ConfigMap. Config lives outside the container and gets injected at runtime. Same image runs in dev, staging and production with different configs.
But your database password is now sitting in a ConfigMap unencrypted. Anyone with basic kubectl access can read it. That is not a mistake. That is a security incident.
So you use a Secret. Sensitive data stored separately with its own access controls. Your image never sees it.
Some days 100 users, some days 10,000. You manually scale to 8 pods during the spike and watch them sit idle all night. You cannot babysit your cluster forever.
So you use HPA. CPU crosses 70 percent and pods are added automatically. Traffic drops and they scale back down. You are not woken up at 2am anymore.
But now your nodes are full and new pods sit in Pending state. HPA did its job. Your cluster had nowhere to put the pods.
So you use Karpenter. Pods stuck in Pending and a new node appears automatically. Load drops and the node is removed. You only pay for what you actually use.
One pod starts consuming 4GB of memory and nobody told Kubernetes it was not supposed to. It starves every other pod on that node and a cascade begins. One rogue pod with no limits takes down everything around it.
So you use Resource Requests and Limits. Requests tell Kubernetes the minimum your pod needs to be scheduled. Limits make sure no pod can steal from everything around it. Your cluster runs predictably.
Good Morning! Today's motivational thought,
You will earn ₹1,00,000 this month.
Government will take ₹30,000 before you touch it.
You'll spend ₹20,000 on things taxed at 18% GST.
You'll burn ₹5,000 on taxed fuel.
You'll save ₹10,000, and pay tax on the interest too.
Now go. Hustle harder. 💪😭
Boycott companies if trying to push their existing stock of misleadingly labelled high sugar drinks labelled as ORS into the bodies of our children ! Boycott pharmacies continuing to sell them! ORSL(Kenvue), RebalanzVitORS (Reddylabs), GluconDActivORS(Zydus)! RAISE AWARENESS!
Excited to welcome @tarak9999 to the Consulate! His recent & upcoming projects filmed in the United States showcase the power of partnership, creating jobs, and strengthening ties between India & the United States.
Great GST reforms. Kudos! A small thing comes to mind:
No tax for BCCI- good.
But increased 40% GST on IPL tickets.
Incredible India: where cricket is a religion, the board is God, IPL is the temple, and the fans, the devotees, have to pay a higher offering.
Any thoughts?
No Income tax upto 12L and now Lower GST rate with No GST on life and health insurance.
240 seats have done it in a year what 282 and 303 seats couldn't do in 10yrs.
Watch the journey of the ultimate dance war 🕺 🕺 #JanaabeAali#SalamAnali#Kalaaba full song in theatres only!
#War2 in cinemas now in Hindi, Telugu and Tamil.
Book your tickets! https://t.co/empQLqeFMr | https://t.co/XOIHwYhw6h