Our team at BEIT Krakow just got back from NVIDIA GTC 2025 in San Jose, and we are still buzzing from the experience. More than 25,000 people came together to share the latest in AI, high-performance computing (HPC), and quantum technology. Whether we were chatting with startup founders, attending panels about quantum breakthroughs, or seeing demos of new GPUs, it felt like we were getting a sneak peek at the future of computing.

1. Quantum + Classical Computing = a powerful combo

At the first-ever “Quantum Day,” we heard a strong message: quantum computing isn’t here to replace GPUs and CPUs. Instead, quantum processors (QPUs) are meant to work side by side with classical systems. Companies like IonQ, PsiQuantum, Quantinuum, and Rigetti showed how far quantum tech has come—yet also stressed that it works best when teamed up with classical computing. NVIDIA underscored this by announcing its new Boston-based research center, where quantum hardware will be combined with AI supercomputers.

2. AI Driving Innovation

AI took center stage too. NVIDIA introduced “Llama Nemotron” (a family of models with improved reasoning skills), and they partnered with industry giants like Alphabet/Google, Microsoft, and Oracle on advanced AI. The idea is to build “agentic AI”—models that can think and act more independently. On the hardware side, NVIDIA showed off new GPU and hardware lines—like DGX Spark and DGX Station—aimed at making AI development easier. There’s also a new customizable AI Data Platform to help businesses accelerate AI inference using specialized chips.

3. HPC and GPUs still on the rise

NVIDIA continues to bet big on GPUs for everything from generative AI to data analytics. It previewed a new generation of GPUs, code-named Vera Rubin, which promises faster performance than its current Blackwell chips. Even though new competitors like Cerebras, Groq, and in-house chips from the big cloud providers are emerging, NVIDIA remains a key leader because of its massive ecosystem and software tools.

4. Transforming Drug Discovery

For us at BEIT Krakow, the most exciting part was seeing how quantum, AI, and HPC can work together for real-world applications—especially in drug discovery. We saw concrete demos of quantum simulations modeling complex molecules, AI analyzing large data sets, and HPC running big simulations in a fraction of the usual time. We’re convinced that merging these technologies will speed up R&D and bring new, life-saving treatments to patients sooner.

5. Challenges and reasons to stay optimistic

While NVIDIA is on top of the AI world right now, they face challenges like growing competition, supply chain issues, and possible trade barriers. Quantum computing also has a long way to go before we achieve fault-tolerant systems. But GTC 2025 proved there’s still huge excitement about combining quantum, AI, and HPC to solve problems we’ve never been able to tackle before.

Wrapping up

From panels on quantum breakthroughs to deep dives into next-gen GPUs, NVIDIA GTC 2025 was a glimpse into the future of computing. For us, it confirmed that hybrid architectures—where quantum and classical systems work together—are going to be at the heart of tomorrow’s breakthroughs.

We came home excited to use what we have seen, especially for computational drug discovery. We truly believe that, with the right mix of quantum, HPC, and AI, we’ll see much faster progress in many fields, including healthcare, energy, and manufacturing.

Can’t wait to see what’s next!