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Note:Now you can watch this blog on  youtube I think GPUs are aging like milk right now. Every year, there’s a “ new god GPU ” on the market that makes the previous one feel instantly outdated. We’ve already seen this: first the H100 , then the H200 , and now the Blackwell B200 , each bringing insane performance jumps. In my view, buying a new flagship GPU is often a waste of money. Let me tell you why: You buy a flagship card, and 6–12 months later, the resale value is trash because new software demands even more VRAM and TFLOPS again. The situation in data centers is even worse. Companies are pouring hundreds of billions into GPUs that run at crazy power levels all day. A significant chunk of them either die or become “old” within just 1–2 years . That is a lot of silicon going straight to the graveyard. For normal people like us, the lesson is simple: don’t treat your laptop or PC like a mini data center. If you try to run AI workloads 24/7, you will cook your hardware in 1–2...

I swear GPUs are aging like milk these days. Back then, a graphics card used to last 5–8 years if you were just gaming. Now? With AI workloads running them 24/7, they’re dying in 1–3 years in data centers . And honestly, I’m not even shocked anymore. These cards are literally getting cooked non-stop. The 1-Year Cycle Is Real Every year there’s a new GPU that makes the previous one look like trash. Nvidia’s H100 in 2022 was a big deal then H200 came in 2023 and slapped it. And then Blackwell B200 showed up and 4x’d performance. Two years and everything before it became basically useless for cutting-edge AI. The resale value? Bro, don't even talk about it. You buy a “flagship” GPU and 6–12 months later it’s worth half. Even my gaming friends say the RTX 4090 now feels old because the 5090 leaks are everywhere. Software keeps demanding more VRAM and TFLOPS , so you’re stuck upgrading again. Datacenter Madness Is Even Worse Big Tech is burning money like crazy. AI compa...

  I have seen that Nvidia doesn’t want to be just a chips company  Anymore In the past 3 years, it has grown so fast that it became the first company to reach a market value of 5 trillion dollars . But Nvidia is not stopping there. They want to become an ecosystem that no one can shake. We can already see a huge change in their investments. In the last year and this year, they invested in Nokia , one of the biggest network-development companies, to work on 6G . They also invested in  Intel  and as we know, Intel is one of the two major chips used in laptops. Nvidia wants to be inside every laptop or PC in the world. Their only big rivals in chips now are Google and Apple , because they use their own chips for their own products. By making Nvidia chips common in all laptops and PCs, developers will start using Nvidia for research and product building. Now Nvidia is also secretly looking to build their own smartphones , where AI can run offline with full customizatio...

Red alerts in big companies have become a common thing nowadays. It all started on November 30, 2022 , the day ChatGPT was first released. Later, there was a mass migration from browsers like Safari and Chrome to ChatGPT it gained a very large amount of support. Google had its Code Red . It just launched Bard , but it was a huge fail—no one liked it. Then we got Perplexity , which was browsing on steroids. The only company that was very happy at this time was NVIDIA , which skyrocketed its shares and sales. The rise of AI helped it a lot. Before ChatGPT, NVIDIA always predicted the day would come when AI would take over the world. Now, the very same companies (ChatGPT, NVIDIA) have red alerts because of Google. Google never stopped; it relaunched its new AI, Gemini , replacing Bard, using its own chips called TPU s to train it. Now, with the release of the new AI model Gemini 3.0 , the world has come back to Google, leaving ChatGPT. NVIDIA is also not happy because Meta and ot...