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Build transformative, production-ready generative AI solutions for your organization.
Improve strategic decision-making procedures to support business leaders in fostering innovation. Go from data preparation and training to customization and deployment with the industry’s only accelerated architecture for generative AI—designed to deliver superior performance and efficiency for your organization.
Customer: Terray Therapeutics Products: NVIDIA Base Command Platform, NVIDIA DGX Cloud, NVIDIA AI Enterprise Technologies: PyTorch, NVIDIA Data Center GPUs, NVIDIA Cloud Native
Customer: Lilt Products: NVIDIA AI Enterprise Technologies: NVIDIA NeMo, NVIDIA T4 Tensor Core GPUs, NVIDIA A100 Tensor Core GPUs
Customer: Wealthsimple Products: NVIDIA Triton Inference Server Technologies: NVIDIA Triton Inference Server, NVIDIA Data Center GPUs, AWS, NVIDIA A10g GPUs
The McKinsey Global Institute (MGI) estimates that, across all of banking, wholesale, and retail, generative AI could add between $200 billion and $340 billion in value—for example, through greater productivity.
– McKinsey & Company
Generative AI became another tool in our AI toolkit for how we wanted to solve our problems.
– Melissa Ludack, Vice President of Data Science, Target
The key to impactful generative AI is precise data at scale that can be iterated quickly, and we have that at Terray. Thanks to DGX Cloud, we were able to develop a molecular language that enabled efficient, constrained, generative optimization of molecules for programs in hit-to-lead and lead optimization. With these tools, we’re looking forward to bringing multiple new therapies to patients in need.
– Narbe Mardirossian, Chief Technology Officer, Terray
Step 1
Identify Use Case
Target use cases that have meaningful business impact and can be customized with unique data.
Step 2
Train Your AI Teams
Elevate your team’s skills in AI with our comprehensive training and certification programs.
Step 3
Explore AI Infrastructure, Models, and Services
Assess infrastructure, architecture, and models, while considering costs and energy consumption.
Step 4
Develop a Plan for Responsible AI
Leverage best practices to ensure responsible AI principles are adopted across your organization.
Generative AI is impacting every industry today, from renewable energy and drug discovery to fraud prevention and wildfire detection. Understand what businesses need to put generative AI into practice to increase productivity, automate tasks, and unlock new opportunities.
Dive into the fundamentals of retrieval-augmented generation (RAG) to unlock the potential of domain-specific, real-time data for generative AI.
Build generative AI applications to enhance customer service with digital assistants, provide financial forecasting, predict protein structures, and prepare first drafts of reports.
Equip your team with the knowledge and expertise they need to thrive in today's evolving landscape.
Learn how retrieval-augmented generation is making generative AI more cost-effective and customized for organization-specific use cases.
Learn how to begin your journey with generative AI, as new tools, models, and software are constantly being developed.
Experience, prototype, and deploy AI with production-ready APIs that run anywhere.