Earlier this week, I got to attend NVIDIA’s “GeForce RTX Future of AI” showcase in New Delhi, and man—it was a fun peek into where the company is heading. The event gave us a hands-on look at the new RTX 50 series desktop and laptop GPUs, but the real kicker was how much AI is becoming part of NVIDIA’s big picture. This wasn’t just about gaming anymore.
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Say Hello to the GeForce RTX 5050
The event had a chill, media-only vibe hosted by John Gillooly, who’s NVIDIA’s Senior Tech Marketing Manager for Asia Pacific South. The spotlight was clearly on the upcoming GeForce RTX 5050, which is priced at Rs. 27,000 (around $315) and drops in the second half of July. Built on the new Blackwell architecture, it features DLSS 4 with Multi-Frame Generation, delivering up to 8x more FPS in the latest games. Yep, it’s a beast.
We got to check out some upcoming laptops from ASUS, MSI, and Gigabyte—each packing this new GPU. And let me tell you, the desktop setups on display looked like something straight out of Cyberpunk. These pre-built rigs with the RTX 50 series are also coming from Indian brands like EliteHubs, ANT PC, and MVP.
So, What’s Up With NVIDIA and AI?
Outside of the gaming showcase, the conversation turned toward NVIDIA’s major push into AI. It’s clear they’re broadening their focus to include consumer AI tools, all running on RTX GPUs.
For instance, there’s NVIDIA NIMs, which bundle optimized, pre-trained models like DeepSeek, Mistral AI, and Llama into tiny microservices you can run in data centers or even on your own servers. John also mentioned their AI SDK, which powers over 150 apps—think BiliBili, LM Studio, Topaz Video AI, and Autodesk VRED.
This is all made possible thanks to TensorRT, which is twice as fast as DirectML and has smaller libraries, faster response times, and broad support across all RTX cards. We also saw live demos of NVIDIA G-Assist and NVIDIA Broadcast—the latter being a gem for streamers who want to squeeze the most out of their setup with RTX-powered AI enhancements.
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Is NVIDIA Still Focused on Gaming?
Of course, I had to ask John about NVIDIA’s growing attention to AI. His answer was clear: Gaming is still a core part of who they are, but they also see an opportunity to push RTX hardware into broader AI applications, especially as demand for AI tools keeps growing.
That said, not all AI features are coming to every GPU right away. Some of the more advanced stuff—like G-Assist—needs more bandwidth, which the current RTX 5050, 5060, and 5070 just don’t have.
All in all, as someone who’s been into PC gaming for years, the event was genuinely exciting. Seeing NVIDIA not just improve gaming performance but also lean into AI in a big way gives me a lot to look forward to. The future of RTX isn’t just faster graphics—it’s smarter, too.
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