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Deloitte and NVIDIA Alliance
Solving tomorrow’s challenges by accelerating AI innovation
Deloitte is at the forefront of the pioneering efforts to transform the world of data processing, analytics, and AI. We use GPU-enabled technology to generate meaningful insights, co-innovate with our clients, and develop novel solutions that get to the heart of business challenges. Together, Deloitte and NVIDIA can help you seize opportunities only enabled through an accelerated AI platform. Our alliance allows us to help organizations access market-leading accelerated computing power and create deep learning models that can deliver new capabilities, value, and a competitive advantage.
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Sparking GenAI innovation
Read how Deloitte's Generative AI capabilities and services helped shape NVIDIA's new NIM Agent Blueprints for building and deploying the next wave of GenAI applications.
Welcome to Deloitte Quartz AI™
Discover how this suite of cutting-edge, cross-industry AI service offerings are designed to help you unlock the transformative value of AI and conquer key business challenges.
The AI Dossier
Explore today’s most compelling, business-ready use cases for AI across six major industries, including several emerging use cases expected to have major future impacts.
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Bringing innovation to artificial intelligence: Explore our video playlist
Creating tomorrow's solutions with accelerated AI
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Revealing the Path Forward with Sovereign LLMs
The paper discusses the concept of Sovereign Large Language Models (LLMs), a new vision for the development and utilization of Generative AI (GenAI) and LLMs that are specifically tailored to cater to individual nations or regions. The idea is anchored in the belief that local opportunities can flourish where Large Multinational Cloud Provider platforms fall short. These platforms often display bias towards their country of origin in terms of language, culture, and legal frameworks, which can affect the accuracy and reliability of their outputs.
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Democratizing the Cure – Federated Learning in Healthcare & Life Sciences
The healthcare and life sciences industries are undergoing dramatic change, as leading organizations adopt artificial intelligence (AI) and other emerging technologies to understand disease and improve treatments and patient care. AI will completely transform healthcare and life sciences as we know it. New and better treatments, personalized medicine, disease prediction, and more—we are at the threshold of a revolutionary period. Federated learning with an enabling platform is one avenue to unleash this promise.
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Accelerated Computing for AI in Government
As government agencies integrate AI into their mission and operations, they are likely to encounter challenges due to the constantly evolving demands and contours of AI innovation. An understanding of accelerated computing infrastructure and a detailed AI strategy can help government take the right first step in AI while providing them the flexibility to grow and adapt over time.
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The Secret to rapid and insightful-AI—GPU-accelerated computing
Discover how AI enabled through GPUs accelerate the ability to bring efficiency into development teams for AI implementation. Going beyond CPU driven data ML unlocks tools and capabilities in both solutions and infrastructure that create more insightful models, scalable architecture and higher level of customer engagement and efficiencies.
Whitepapers
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High Performance Computing in AI: What GPUs mean for Deep Learning
Organizations are striving to realize the strategic goals of improving customer engagement, enhancing operational effectiveness, and finding costs savings. Using AI to meet these targets presents computational demands that have traditionally required an HPC cluster. Today, cloud technologies have made HPC capabilities widely available, with the capacity to manage a “virtual HPC” elastically and as needed. This is a powerful AI accelerator in as much as there is a low barrier to entry.
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Is your Data Infrastructure Ready for AI at the Point of Action?
Knowing what the missing pieces are is only part of the challenge. The next question becomes, where do these technologies fit into the current data architecture and what does that mean for operations and business functions? With our ecosystem of technology partners, we can help you identify the right hardware and infrastructure that aligns with business strategy and goals, and we then work with you to implement the right tools to prepare your data infrastructure for a future with real-time AI and HPC.
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The Economics of High-Performance Computing
Our vertical specialization with cross-solution application in AI and HPC architecture ensures HPC integrates with your platform and embeds AI as a transformational shift in devising and using market leading solutions. We take a technology agnostic stance to help you identify and implement the tools that precisely fit your business challenge. Drawing on our expertise in technology infrastructure and cost optimization, we help ensure the enterprise has the optimal solution and architecture.
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Unpacking the Complexity in AI Training, Energy Consumption, and Emissions
The energy consumption and emissions associated with AI training and testing is a more complex calculation than it may at first appear. To bring more clarity to this complicated area, it is helpful to compare AI training energy consumption relative to the underlying microprocessors, namely, CPUs and GPUs. Importantly, not all servers are equal when it comes to AI training, and the time to compute variable has a significant impact on energy usage.
How we do it
The fast-changing AI landscape is complex. Working with Deloitte, you can move quickly to accelerated AI, identifying problems, calculating and proving the value, and leveraging our capabilities to develop and enhance deep learning models that transform the enterprise. We help you:
 | Develop a business strategy that prioritizes business issues the enterprise aspires to solve. |  | Cost-effectively develop proof of concepts that prove the value of a novel solution. | ||
 | Use accelerated AI platform technology and build capabilities around it in ways that are impossible without access to GPU-enabled computing infrastructure and the skills needed to use it. |  | Leverage our deep industry expertise, ecosystem partnerships, and AI infrastructure capabilities to create deep learning models that can scale sustainably. | ||
 | Uncover patterns in your data and reveal opportunities to enhance existing models or build new solutions. |  | Budget, plan, and architect for the future as we advise you in your journey to becoming an AI-fueled organization. | ||
 | Ask and answer the right questions, such as what infrastructure your organization needs, where and when you should use it, and how to anticipate and plan for issues (e.g., latency, security risk) that could lead to costly, unexpected outcomes. |
Get in touch
Ready to continue your journey to becoming an AI-fueled organization? Please reach out to discuss how Deloitte and NVIDIA can help your enterprise accelerate AI innovation to its greatest potential.
Meet our leaders
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