Developer Resources for
Energy

A hub with news, SDKs, and technical resources for building AI-driven solutions that optimize energy production, reliability, and efficiency to scale infrastructure in a power-constrained world.

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Powering AI Factories: Smarter Battery Storage Design

Learn how to design production-ready battery energy storage systems that enhance reliability, improve efficiency, and support scalable, high-performance operations for next-generation AI factories.

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Powering Smarter AI: Full-Stack Strategies for Energy Efficiency

Discover how end-to-end optimizations across training and inference can dramatically cut energy consumption, improve system performance, and help build more sustainable, cost-efficient AI factories at scale.

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NVIDIA Omniverse DSX Blueprint for AI-Ready Energy Infrastructure

Streamline the design and deployment of energy infrastructure for AI growth with NVIDIA’s Omniverse DSX blueprint. Simulate, optimize, and scale power systems and grid capacity using real-time digital twins and AI-driven insights to improve reliability, efficiency, and sustainability.

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Accelerate Clean, Modular, Nuclear Reactor Design with AI Physics

Discover how AI-powered physics models are transforming the design of small modular reactors by accelerating simulations, improving safety insights, and enabling faster, more efficient development of next-generation clean energy solutions.

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AI for a Greener Future: Turning Innovation into Climate Action

Explore how cutting-edge AI technologies are driving meaningful reductions in energy use and emissions, empowering industries and individuals alike to make smarter, more sustainable decisions that can collectively shape a cleaner, more resilient future for the planet.

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NVIDIA Omniverse DSX Blueprint for AI Factories

Accelerate the design and deployment of AI factories with NVIDIA’s Omniverse DSX blueprint. Simulate, optimize, and scale data center infrastructure with real-time digital twins and advanced AI-driven insights.

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24/7 Simulation Loops with Agentic AI

Learn how NVIDIA’s agentic AI reservoir simulation assistant and multi-agent orchestration squad turn manual subsurface workflows into always-on, 24/7 simulation loops that eliminate idle time and boost asset value.

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AI-Powered Geospatial Insights for Energy

See how AI-driven geospatial analytics can accelerate exploration decisions, optimize field development and production planning, reduce subsurface and operational risk, and support more sustainable, data-informed energy strategies.

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High-Fidelity Simulations and AI for Oil & Gas

Discover how industry leaders use NVIDIA-accelerated computing to run high-fidelity simulations that speed up innovation, improve equipment design, and unlock new efficiencies across the oil and gas value chain.

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Explore Tools and Technologies for Energy

NVIDIA DSX

NVIDIA DSX brings together AI factory design, simulation, operations, and ecosystem technologies to help teams build infrastructure optimized for tokens per watt, from reference design and digital twins to fleet operations.

NVIDIA NeMo

NVIDIA NeMo™ is an open suite of libraries for building, customizing, evaluating, and governing AI agents, helping developers optimize specialized models and agentic workflows across cloud, data center, and hybrid environments.

NVIDIA Omniverse

NVIDIA Omniverse™ provides OpenUSD-based libraries, APIs, and services for building industrial digital twins and physical AI simulation applications, enabling real-time visualization, simulation, and collaboration across engineering workflows.

NVIDIA PhysicsNeMo

NVIDIA PhysicsNeMo is an open source framework for building, training, and deploying physics AI models, helping developers create real-time surrogate models for CFD, weather, structural mechanics, electromagnetics, and energy simulations.

HPC SDK

The NVIDIA HPC SDK includes C, C++, and Fortran compilers, GPU-accelerated libraries, and analysis tools that help developers improve productivity, performance, and portability for high-performance computing applications.

NVIDIA Energy SDK

The NVIDIA Energy SDK offers GPU-accelerated samples and techniques for energy workloads, including seismic processing, reverse time migration, Kirchhoff migration, SRME, reservoir simulation, Marchenko workflows, and related subsurface applications.

NVIDIA Earth-2

NVIDIA Earth-2 provides open AI models, libraries, and workflows for weather and climate forecasting, helping developers build faster systems for nowcasting, global prediction, risk analysis, and high-resolution visualization.

NVIDIA CUDA

NVIDIA CUDA™ gives developers the programming model, compilers, runtime, libraries, and performance tools needed to build GPU-accelerated applications across AI, simulation, scientific computing, analytics, and other high-performance workloads.

NVIDIA cuOpt

NVIDIA cuOpt is a GPU-accelerated optimization engine for routing, scheduling, and large-scale decision problems, helping organizations compute efficient plans quickly across logistics, operations, energy, and resource management workflows.

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NVIDIA Omniverse DSX Blueprint for AI Factories

Accelerate the design and deployment of AI factories with NVIDIA’s Omniverse DSX blueprint. Simulate, optimize, and scale data center infrastructure with real-time digital twins and advanced AI-driven insights.

NVIDIA NemoClaw for OpenClaw

Build safer, more reliable AI agents with NVIDIA NeMoClaw, designed to enforce guardrails and policy controls in OpenClaw workflows. Streamline governance, improve response quality, and deploy AI systems with confidence.

More Resources

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Accelerate Your Enterprise AI Lifecycle

To execute high-throughput, agentic workflows at scale, master the frameworks powering next-generation financial infrastructure. Gain hands-on expertise in building scalable digital twins via NVIDIA Omniverse and optimizing enterprise-grade AI factories with the NVIDIA DSX platform to drive down compute costs and maximize token performance.

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Accelerate your Startup

NVIDIA Inception is a virtual accelerator supporting over 19,000 AI, data science, and HPC startups globally with technical expertise, foundational technology, and go-to-market strategy. Members gain access to free NVIDIA Deep Learning Institute (DLI) training, preferred hardware and software pricing, substantial partner cloud credits, and direct pathways to venture capital networks.

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