Sit back and enjoy the show. You’re watching computer graphics and simulation powered by NVIDIA CUDA-X, the software helping scientists and engineers put their ideas to the test. From #NVIDIAGTC Berlin:

Cool. In the not too distant future we'll see not only digital simulations carried out by AI, but in the physical world too, making simulation reality

How come modders made dlss frame gen .2-3-4-5x on rtx 3xxx? It works almost like on .4-5 rtx series why don't you allow older GPUs to be better when you keep raising GPU prices

every sim demo looks effortless right up until you try to walk around inside one

Testing ideas in simulation before building anything real saves so much time and money. Which field is getting the biggest speedup from CUDA-X right now: fluid dynamics, climate or robotics?

Simulation, not just rendering — the backend is the show now.

Watching graphics and simulation powered by CUDA-X from GTC Berlin is a good reminder that GPUs now serve scientists and engineers as much as gamers. Faster simulation speeds up how ideas get tested. Which field do you think benefits most from this next?

Reality could never afford this budget.

cuda-x sims look unreal, wish i was at gtc berlin for this

Simulation is the underrated half of AI. Testing an idea in a virtual world before building it changes the economics of engineering.

Somewhere a render farm is quietly taking full credit for this.

The fluid sims in this are gorgeous. Wild how much engineering testing is moving from wind tunnels to GPUs.

Simulation is quietly becoming the front door to discovery: test ideas in software before spending on hardware or lab time. CUDA-X compounding across science is the real moat.

Those CUDA-X sim demos sell the stack better than a feature list.

NVIDIA picked an excellent day to demonstrate things falling realistically.

The shitty show

Simulation is quietly becoming the backbone of modern science. GPU-accelerated modelling compresses years of lab iteration into days, and that is a big deal for climate and health research.

Fluid movement looks amazing!

仿真先行验证再落地的思路很关键，能省不少试错成本，期待更多行业案例。

Ngồi thư giãn mà coi CUDA-X chạy, hóa ra mấy anh kỹ sư cũng biết cách thư giãn kiểu riêng 🙂

Computer graphics with an engineering day job: helping test ideas before anyone has to order the expensive parts.