What you need to know
- In a recent interview, NVIDIA CEO, Jensen Huang, has been talking up AI in regard to his company’s products.
- Simply put, Huang says NVIDIA can no longer do graphics without using AI.
- By using AI models in tools like DLSS, the process is both faster and more energy efficient.
As a tech enthusiast with years of gaming and tech reviewing under my belt, I must say that Jensen Huang’s words about AI in NVIDIA’s products have made me reconsider my understanding of graphics processing. It’s amazing to see how far we’ve come, from computing one pixel to inferring the rest, saving energy and improving performance.
AI permeates our daily lives, whether you’re an enthusiast or not. In certain instances, it can be found even in areas that you may have been unknowingly utilizing and underestimating its presence. For example, within your personal computer gaming setup.
Previously, I expressed my optimism regarding AI potentially fostering beneficial advancements within the gaming industry, such as materializing a reality similar to the film “Free Guy.” However, there’s another perspective to consider as well.
NVIDIA CEO Jensen Huang has in a recent interview (via PC Gamer) been talking about such uses of AI, and honestly, I hadn’t considered some of this stuff. I’m probably not alone, either.
One section that really stands out is this one:
Modern computer graphics wouldn’t be possible without artificial intelligence. Instead of calculating each individual pixel, we estimate the others. It’s quite amazing! Essentially, what we’re doing is guessing the values for the other 32 pixels, and they appear temporally consistent, photorealistic, and the image quality is outstanding. The performance and energy savings are impressive as well – calculating a single pixel requires a lot of energy, but inferring the others uses much less and can be done incredibly quickly. This is the power of AI in computation.
AI uses insane amounts of power, but we haven’t considered the opposite
There’s been a lot of discussion about the substantial energy usage by entities like OpenAI during the development and operation of their AI models, which is often viewed as problematic for our environment if there’s no eco-friendly method to generate that power.
Today’s high-performance graphics cards are real power guzzlers. I can still remember the moment I unboxed my RTX 4090 review unit and exclaimed aloud upon seeing the adapter cable attached, which had an incredible four 8-pin power connectors. While it’s certainly top-tier hardware, it has a remarkable capacity to consume energy.
What never occurred to me is how AI and DLSS can actually mitigate how much energy is being consumed while generating the glorious visuals in today’s hottest games. DLSS is easily the best implementation of upscaling, and its biggest competition, AMD’s FSR, still uses a compute-based solution versus AI.
It’s striking to note that NVIDIA’s graphics processors (GPUs) boast an impressive capability for artificial intelligence (AI) computations, a fact highlighted when pitted against the Neural Processing Units (NPUs) found in the latest Copilot+ PCs. What makes this even more intriguing is the frank admission from the head of the leading company in this field that AI integration can no longer be disregarded in today’s context.
Even if you’re not a fan of generative AI or its infusion in search, art, or a multitude of other purposes, if you’re a gamer, there’s a good chance you’re already a fan. Whenever the RTX 5000 series finally surfaces, it looks like its AI chops are going to be more important than ever before.
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2024-09-16 14:11