Siemens

📢 𝗝𝗨𝗦𝗧 𝗜𝗡: $NVIDIA(NVDA.US) NVIDIA Expands Agent Toolkit With AI Physics and Engineering Libraries

👉 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

➤ 𝗡𝗩𝗜𝗗𝗜𝗔 expands 𝗔𝗴𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝗸𝗶𝘁 with 𝗣𝗵𝘆𝘀𝗶𝗰𝘀𝗡𝗲𝗠𝗼 and 𝗖𝗨𝗗𝗔-𝗫 libraries.

➤ New toolkit enables autonomous 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 for chip and system design.

➤ 𝗣𝗵𝘆𝘀𝗶𝗰𝘀𝗡𝗲𝗠𝗼 adds AI physics skills for simulation and engineering.

➤ Updated 𝗖𝗨𝗗𝗔-𝗫 libraries deliver accelerated solvers and quantum chemistry capabilities.

➤ 𝗡𝗲𝗺𝗼𝘁𝗿𝗼𝗻 𝟯 𝗨𝗹𝘁𝗿𝗮 leads open models in agentic RTL coding.

➤ 𝗖𝗮𝗱𝗲𝗻𝗰𝗲, 𝗦𝗶𝗲𝗺𝗲𝗻𝘀, and 𝗦𝘆𝗻𝗼𝗽𝘀𝘆𝘀 are adopting the expanded toolkit.

➤ 𝗦𝗮𝗺𝘀𝘂𝗻𝗴 uses NVIDIA technologies for lithography and thermal-stress analysis.

➤ 𝗧𝗦𝗠𝗖, Samsung, and Synopsys integrate 𝗰𝘂𝗘𝗦𝗧 for quantum chemistry workloads.

➤ 𝗞𝗲𝘆𝘀𝗶𝗴𝗵𝘁 uses 𝗰𝘂𝗗𝗦𝗦 to accelerate electromagnetic simulations by up to 𝟭𝟬𝘅.

👉 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:

➤ Positions 𝗡𝗩𝗜𝗗𝗜𝗔 beyond AI chips into engineering software infrastructure.

➤ Expands NVIDIA's ecosystem across semiconductor design and industrial AI.

➤ AI agents could significantly reduce chip development time and costs.

➤ Broader enterprise adoption strengthens long-term demand for NVIDIA computing platforms.

👉 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁:

𝗧𝗶𝗺𝗼𝘁𝗵𝘆 𝗖𝗼𝘀𝘁𝗮, Vice President and General Manager of Computational Engineering at NVIDIA:

“Engineering has reached an inflection point. AI can now work with tools of physics, simulation and design. With NVIDIA Agent Toolkit, developers can build agentic engineers that reason using physics, run complex simulations and generate high-fidelity data to become a new engine for innovation in chip and system design.”

📢 𝐉𝐔𝐒𝐓 𝐈𝐍: Siemens, $FuelCell Energy(FCEL.US) FuelCell Energy Partner to Accelerate Distributed Power Projects

👉 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:

➤ 𝐒𝐢𝐞𝐦𝐞𝐧𝐬 and 𝐅𝐮𝐞𝐥𝐂𝐞𝐥𝐥 𝐄𝐧𝐞𝐫𝐠𝐲 signed an MOU to expand fuel cell power deployment.

➤ Siemens will design and supply 𝐄𝐁𝐎𝐏 systems for FuelCell Energy installations.

➤ Collaboration supports rapid deployment of 𝐨𝐯𝐞𝐫 𝟏𝟎𝟎 𝐌𝐖 commercial fuel cell projects.

➤ Joint solutions will integrate 𝐟𝐮𝐞𝐥 𝐜𝐞𝐥𝐥𝐬, battery storage, microgrids, and medium-voltage equipment.

➤ Companies aim to 𝐫𝐞𝐝𝐮𝐜𝐞 𝐜𝐨𝐬𝐭𝐬, shorten deployment timelines, and scale distributed energy systems.

➤ Initial focus includes 𝐝𝐚𝐭𝐚 𝐜𝐞𝐧𝐭𝐞𝐫𝐬, industrial facilities, utilities, and other critical power users.

➤ Partnership also includes 𝐩𝐢𝐥𝐨𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 for medium-voltage DC and modular electrical systems.

➤ Successful pilots could transition into 𝐟𝐮𝐥𝐥-𝐬𝐜𝐚𝐥𝐞 commercial deployments.

👉 𝐖𝐡𝐲 𝐈𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬:

➤ Rising 𝐀𝐈 and data center demand is increasing the need for reliable on-site power.

➤ Partnership combines power generation and electrical infrastructure into a 𝐬𝐢𝐧𝐠𝐥𝐞 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 solution.

➤ Collaboration could accelerate adoption of 𝐥𝐨𝐰𝐞𝐫-𝐞𝐦𝐢𝐬𝐬𝐢𝐨𝐧 distributed energy systems.

👉 𝐄𝐱𝐩𝐞𝐫𝐭 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭:

➤ "The rapid growth of electrification and distributed energy is redefining how power must be delivered at scale. By combining FuelCell Energy's fuel cell technology with Siemens' electrical infrastructure, service, and integration expertise, we can deliver scalable, on-site power solutions for energy-intensive applications – helping customers deploy power faster, scale with confidence, and advance their transition to lower-emission, more resilient energy systems." — 𝐊𝐞𝐯𝐢𝐧 𝐁𝐫𝐨𝐰𝐧, Head of Sustainability Solutions, Electrification and Automation, Siemens Smart Infrastructure USA.

➤ "This collaboration with Siemens enables us to deliver what the market has been asking for—bringing generation and electrical infrastructure together into a single, scalable solution. For customers, that means reliable, on-site power that is faster to deploy and built to scale, beginning with the data centers driving today's demand." — 𝐒𝐡𝐚𝐧𝐤𝐚𝐫 𝐀𝐜𝐡𝐚𝐧𝐭𝐚, Chief Product and Technology Officer, FuelCell Energy.

India is entering a new age of industrialization. 👏

India’s largest manufacturers are working with global service integrators including @Tata Consultancy Services , @Wipro PARI, & industrial software leaders like @Cadence, @Siemens, @Synopsys.

Together, we're advancing the nation’s AI boom using applications accelerated by NVIDIA CUDA-X and @NVIDIAOmniverse libraries.

🔗 Read the full #IndiaAIImpactSummit2026 blog:

Source: NVIDIA_X