Earlier this week in New Delhi, NVIDIA held its “GeForce RTX Future of AI” showcase, unveiling the new RTX 50 series desktop and laptop GPUs. While the event highlighted upcoming gaming hardware, it also shed light on NVIDIA’s growing emphasis on artificial intelligence (AI) and its broader strategic vision beyond gaming.
Introducing the GeForce RTX 5050 and Its AI-Enhanced Gaming Capabilities
The media event, hosted by John Gillooly, NVIDIA’s Senior Tech Marketing Manager for Asia Pacific South, centered on the GeForce RTX 5050 GPU, set to launch around Rs. 27,000 (~$315) in late July. Built on NVIDIA’s Blackwell architecture, the RTX 5050 supports DLSS 4 with Multi-Frame Generation, delivering up to eight times higher frame rates in the latest gaming titles compared to previous generations.
This GPU will be featured in upcoming laptops from notable manufacturers such as ASUS, MSI, and Gigabyte, which were showcased during the event. Additionally, cutting-edge desktop gaming rigs equipped with the RTX 50 series were on display, resembling futuristic setups reminiscent of Cyberpunk aesthetics. These pre-built desktops are also available through Indian vendors including EliteHubs, ANT PC, and MVP.
NVIDIA’s Strategic Shift Toward AI Technologies Powered by RTX GPUs
Beyond gaming, NVIDIA emphasized its advancements in AI technology, focusing on consumer-oriented AI tools powered by RTX GPUs. A key highlight was NVIDIA NIMs, which package pre-trained and optimized AI models—such as DeepSeek, Mistral AI, and Llama—into easily deployable microservices suitable for data centers, organizations, and self-hosted environments.
John Gillooly also detailed NVIDIA’s AI Software Development Kit (SDK), which supports over 150 creator and AI applications including BiliBili, LM Studio, Topaz Video AI, and Autodesk VRED. This ecosystem is enabled by NVIDIA’s TensorRT technology, which offers twice the speed of DirectML, reduces library sizes by a factor of eight, and accelerates AI model responses across all RTX graphics cards.
Live demonstrations featured NVIDIA G-Assist, an AI assistant, and NVIDIA Broadcast, a tool designed to enhance streaming setups by leveraging RTX and AI capabilities, underscoring NVIDIA’s commitment to integrating AI functionalities into user experiences.
Balancing Gaming Roots with Expanding AI Ambitions at NVIDIA
When questioned about NVIDIA’s increasing AI focus, John Gillooly reaffirmed the company’s foundational dedication to gaming while highlighting its strategic aim to apply hardware capabilities across a wider range of AI applications amid rising demand.
He noted that advanced AI features like G-Assist will become accessible on more affordable hardware in future generations, as current models such as the RTX 5050, 5060, and 5070 lack the necessary bandwidth for these capabilities.
Overall, the “Future of AI” showcase offered a compelling glimpse into NVIDIA’s evolving trajectory, combining innovative hardware with AI advancements to shape the future of computing and gaming technology.