**NVIDIA's Latest Gamble: Deep Learning Cards**
I'm here today to talk about NVIDIA's latest foray into the gaming market, but it's not exactly what you'd expect from a company known for its deep learning cards. Instead of focusing on gaming performance, they've decided to release a high-end graphics card that's more suited for gaming than deep learning.
As an over-the-top guy who loves power and is all about putting as much power in their products as possible, NVIDIA has gone all out with this new card. However, it seems like the company forgot one crucial thing: what the market actually wants. This card was released at a staggering $700 price point, which is more than many gamers are willing to pay for a graphics card.
But that's not the only issue with this new card. NVIDIA has essentially taken a deep learning card and used it as a base for their gaming product, which raises questions about why they're doing it in the first place. The company is known for its deep learning expertise, but it seems like they've compromised on performance to make something that's more appealing to gamers.
One thing that did catch my attention was how much praise this card received from fans and reviewers alike. Apparently, people were thrilled with the price point of $700, which seemed like a great value compared to other high-end gaming graphics cards on the market. However, I have to ask: what makes this card so special? Is it really worth paying $200 more than the previous generation's Titan X?
I also can't help but wonder why NVIDIA decided to release this card at all. It seems like they're trying to compete with other companies that offer deep learning solutions, but at a cost that's more suited for gaming. But then again, maybe I'm just not thinking about it from the right perspective.
I remember when I first heard about the new Titan X card, and how people were excited about its potential for gaming performance. And let me tell you, it did deliver. The 1080 Ti was a phenomenal performer, and it's still one of my favorite graphics cards out there today. But now, with this new release, things have changed.
What really bothers me is that NVIDIA seems to be playing the same trick again. Remember when they released the original Titan X card at $1,200 price point? And then, a few months later, they came out with an even more powerful version, the Titan X P, which was still way overpriced for what it offered. And now, they're doing it all over again.
This time around, however, things are even more confusing. The new card is priced at $700, but it's essentially a deep learning card with some minor tweaks to make it more gaming-friendly. It's like NVIDIA is trying to have their cake and eat it too, or maybe they're just trying to confuse the market.
**The Moral of This Story**
As I said earlier, I'm not exactly thrilled about this new release from NVIDIA. But I do think there's a lesson to be learned here. What happened with this card is a prime example of how companies can mess up their business model by releasing products that don't quite make sense.
In the case of NVIDIA, they seem to be more focused on deep learning solutions than gaming performance, and it shows in their products. I mean, who needs a $700 graphics card when you could get an equivalent solution for half the price? It just doesn't add up.
And let's not forget about the founder's edition Titan X P P which was extremely powerful but also limited to only 3840 resolution that is going to be even more expensive and also only available with founders edition cooler this design in terms of noise performance ratio is pretty poor
But hey, at least NVIDIA is trying to innovate, right? I mean, it's not like they're just regurgitating the same old products over and over again. They're pushing the boundaries of what's possible with deep learning and graphics processing.
**Apologies to Terry Cruz**
I also want to apologize to Terry Cruz for putting his name in this article without giving him proper credit. He was a great guy who deserved better than to have his name dragged through the mud because of NVIDIA's mistakes.
So, I wanted to take a moment to talk about what happened with Terry Cruz and how it relates to this new release from NVIDIA. It all started when people were asking me if I'd like to try out some custom-built gaming PCs for my next video. And then, I was approached by Terry Cruz who offered to build me a custom PC using his own money.
Now, I know what you're thinking: "Jay, why did you agree to do this?" Well, it's simple really. Terry Cruz is an old friend of mine, and I've always respected him for his kindness and generosity. So, when he offered to build me a custom PC, I jumped at the chance.
But here's the thing: Terry Cruz wanted to use NVIDIA's latest graphics card in his build, which was a bit of a problem. You see, that card is only available with deep learning solutions, not gaming performance. And let me tell you, it didn't exactly make sense for a gaming PC.
So, I had to make some tough decisions about how to proceed. In the end, we decided to go with a different graphics card that was more suited for gaming. It wasn't ideal, but it was necessary.
And that's where things get interesting. As I started talking to Terry Cruz about his project, I realized that he had been working on something much bigger than just building a custom PC. He was trying to show the world what deep learning and AI could do, and how they could be used for good.
Now, I'm not saying that NVIDIA's latest release is bad or anything. But I am saying that it shows how companies can mess up their business model by releasing products that don't quite make sense. And it also highlights the importance of innovation and taking risks in the pursuit of progress.
So, there you have it. That's my take on NVIDIA's latest gaming card release. It's not exactly what I expected, but it's still an interesting product nonetheless.