NVIDIA officially unveiled its new GeForce GPU series at the COMPUTEX 2025 conference in Taipei, sparking heated discussions throughout the global tech community. NVIDIA CEO Jensen Huang stated during his keynote speech, “What you see here is not art, it’s just beautiful,” emphasizing that the new GPUs combine artificial intelligence with real-time simulation to deliver unprecedented visual and performance experiences for gamers, content creators, and AI developers. AIbase provides comprehensive insights into this groundbreaking release, delving into its technical highlights and its profound impact on both the AI and gaming ecosystems.
The New GeForce GPU: The Ultimate Fusion of AI and Simulation
The new GeForce GPU series (specific models have yet to be announced, but industry insiders speculate they may be part of the RTX50 series) is based on NVIDIA's latest architecture, integrating more powerful AI acceleration units and ray tracing cores. AIbase learned that the new GPUs support next-generation DLSS4 technology, which enhances game frame rates by up to four times through AI super-resolution and frame generation while maintaining top-notch image quality. During the COMPUTEX demonstration, an unnamed open-world game ran smoothly at 120 FPS in 8K resolution, showcasing the remarkable capabilities of the new GPU in real-time rendering and AI enhancement.
Huang particularly emphasized that the new models are not just hardware upgrades but also a "weaving together of AI and simulation." The new GPUs feature NVIDIA's ACE digital human technology, enabling real-time generation of NPCs with emotional expression, greatly enhancing the immersion of games. Additionally, NVIDIA Broadcast has been further optimized, improving AI noise cancellation and virtual background functions to provide professional live streaming experiences for content creators.
Technical Highlights: GB300 and AI Ecosystem Synergy
NVIDIA simultaneously announced that its next-generation AI system, Grace Blackwell GB300, will launch in the third quarter of 2025, forming a strong AI ecosystem synergy with the new GeForce GPUs. AIbase analysis suggests that GB300's ultra-high computing power (supporting up to 20 petaflops of AI training) will provide cloud support for GPUs, accelerating AI-driven game development and content creation. For example, developers can use GB300 to train complex ray tracing models, then implement real-time rendering on consumer-grade devices via GeForce GPUs.
The new GPUs also introduce one-click performance tuning and 120 FPS AV1 video recording, managed through the NVIDIA App. AIbase tests show that AV1 encoding retains more details in fast-moving scenes, making it especially suitable for recording high-dynamic games like "Star Wars: Outlaws," significantly reducing blocky artifacts.
Applications: From Gaming to Virtual Creation
The release of the new GeForce GPUs opens new possibilities across multiple fields:
Gaming Experience: DLSS4 and the new ray tracing core support ultra-high resolutions and frame rates, delivering cinematic visual effects. The demo footage of "Horizon Forbidden West" at maximum settings was stunning.
Content Creation: NVIDIA Studio ecosystem combined with the new GPUs accelerates 3D modeling, video editing, and AI-generated art, increasing productivity by over two times.
AI Development: The new GPUs support NVIDIA Omniverse and ACE technologies, enabling developers to create dynamic digital humans or virtual worlds for applications in gaming, education, and the metaverse.
AIbase predicts that the new GPUs will popularize generative AI in the consumer market, particularly demonstrating immense potential in real-time digital humans, virtual broadcasters, and immersive educational scenarios.
Industry Impact: NVIDIA Solidifies Its AI Hardware Dominance
NVIDIA's release further solidifies its leadership position in the AI and graphics hardware sectors. AIbase observes that Huang positioned the new GPUs as the "core of personal AI computers" in his speech, implying that they are not just gaming hardware but will drive localized AI inference. Compared to AMD and Intel's latest GPUs, NVIDIA maintains a clear advantage in AI optimization and ecosystem integration, particularly with support from DLSS and CUDA ecosystems, making developers more inclined to choose the GeForce platform.
However, AIbase noticed that NVIDIA's pre-market stock price fell 2.5% due to concerns over pricing, reflecting investors' sensitivity to the cost of consumer GPUs. In the future, NVIDIA must balance performance and pricing to ensure the penetration rate of the new GPUs in mainstream markets.
A New Chapter for Hardware Combining AI and Aesthetics
As a specialized media outlet for the AI field, AIbase highly evaluates NVIDIA's release of the new GeForce GPUs. Huang's statement that "this is not art, it’s just beautiful" not only expresses confidence in the technology but also reveals revolutionary breakthroughs in visual experience brought about by the combination of AI and simulation technologies. The synergy between the new GPUs and GB300 marks NVIDIA's transformation from a hardware supplier to an AI ecosystem builder, providing a unified platform for gaming, creation, and AI development.