NVIDIA announced that a record 35 NVIDIA AI HPC supercomputers are in development across Europe, equipping more than 3 million researchers with next-generation infrastructure for continental AI, accelerated science and industrial innovation. The systems represent Europe’s largest one-year expansion of supercomputers, spanning national supercomputing centers, AI factories and academic research institutions across 23 countries. This buildout powers over 90% of Europe’s AI factory initiatives, with 800 AI exaflops deployed or announced since last year.

The NVIDIA Blackwell and NVIDIA Hopper platforms are powering the majority of Europe’s AI factory buildout. NVIDIA provides a full-stack platform for science, spanning model training, simulation, inference and agentic AI, utilizing NVIDIA Quantum InfiniBand networking, NVIDIA CUDA-X libraries, NVIDIA NIM microservices and NVIDIA AI Enterprise software.

"AI is the new instrument of science, and Europe is building the infrastructure to put it in the hands of millions of researchers," said Jensen Huang, founder and CEO of NVIDIA. "With NVIDIA accelerated computing, researchers can simulate more complex systems, train scientific AI models and build agentic AI workflows that turn Europe’s data and expertise into breakthroughs for the world."

Key Supercomputing Initiatives

Supercomputers including Barcelona Supercomputing Center’s EuroHPC MareNostrum5 AI upgrade, BavariaAI’s Blue Swan, IT4LIA, HLRS’s HammerHAI and NAISS’s Mimer EuroHPC AI Factory are among those based on advanced NVIDIA AI infrastructure.

Climate and Decarbonization Efforts

NVIDIA is supporting initiatives to accelerate AI-driven climate science, healthcare and clean-energy decarbonization. Siemens Energy is using the Siemens Xcelerator portfolio, accelerated by NVIDIA technologies including NVIDIA Omniverse libraries, CUDA-X and AI infrastructure, to unify design and simulation for gas turbines built to run on up to 100% hydrogen. This workflow cuts simulation times by up to 77% to advance hydrogen-capable, low-carbon gas turbines.

Quantum-GPU Supercomputing Advances

The Barcelona Supercomputing Center, CINECA, Fraunhofer and Jülich Supercomputing Centre are the latest institutes to use the CUDA-Q platform to integrate quantum processors. Researchers at the Jülich Supercomputing Centre, working with NVIDIA, set a world record by fully simulating a universal 50-qubit quantum computer on JUPITER, powered by NVIDIA GH200 Grace Hopper Superchips.

Nvidia stock has underperformed the broader market this year, rising 12% while the tech-heavy Nasdaq 100 Index has soared 20%. The stock remains 10% below its highest point this year, as analysts predict significant upside potential. This underperformance comes despite strong fundamentals and bullish projections from Wall Street.

Most Wall Street analysts remain highly bullish on Nvidia shares. Benzinga data shows the consensus target for NVDA shares among analysts is $309, up 46% from the current level. Some analysts expect even higher gains, with Tigress Financial setting a price target of $425 and Baird’s Tristan Gerra projecting a climb to $500. Analysts at Evercore, Melius Research, and Cantor Fitzgerald foresee the shares surpassing $350 over the next 12 months.

The bullish outlook is driven by accelerating revenue and profitability growth as the AI supercycle gains momentum. Nvidia’s revenue surged 85% year over year in the first quarter to $85 billion. Analysts expect revenue in the current quarter to rise 96% to $91.7 billion, with management guiding for approximately $91 billion. If this momentum continues, the company could generate roughly $400 billion in revenue this year.

Strategic developments further support the positive outlook. Nvidia recently received approval to sell its H200 chips in China and launched its Vera CPUs, which it believes will become a $200 billion business. Vera will compete with products from Advanced Micro Devices and Intel. Despite its growth, Nvidia trades at a lower valuation multiple than the S&P 500 Index, with a forward price-to-earnings ratio of 22.50 compared to the index’s 23.

Technicals also point to a potential rebound. The stock has formed a descending channel within a bullish flag pattern, a setup that often precedes further gains after a strong surge. Nvidia has remained above its 100-day exponential moving average, providing strong support. The initial upside target is the year-to-date high of $235, with a break above that level signaling further gains toward analysts’ estimates of around $309.