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Harnessing AI Power: NVIDIA AI Foundry’s Custom Models for Businesses
In today’s rapidly evolving technological landscape, businesses are increasingly looking to leverage the power of Artificial Intelligence (AI) to enhance their operations and gain a competitive edge. However, the effectiveness of AI largely depends on how well it is tailored to meet specific industry needs. This is where NVIDIA AI Foundry comes into play, offering a robust service that enables enterprises to create and deploy custom AI models. Let’s delve deeper into this innovative service and understand its potential impact on various industries.
What is NVIDIA AI Foundry?
NVIDIA AI Foundry is a comprehensive service designed to help businesses utilize data, accelerated computing, and advanced software tools to develop custom AI models. These models are specifically tailored to supercharge generative AI initiatives, making them more relevant and effective for particular industry applications. Think of NVIDIA AI Foundry as akin to TSMC in the semiconductor industry. While TSMC manufactures physical chips designed by other companies, NVIDIA AI Foundry provides the infrastructure and tools for other companies to develop and customize their AI models.
Key Components of NVIDIA AI Foundry
NVIDIA AI Foundry is built on several critical pillars:
- Foundation Models: These are pre-trained AI models that serve as a starting point for customization. They include proprietary models from NVIDIA and open community models such as the new Llama 3.1 collection, NVIDIA Nemotron, CodeGemma by Google DeepMind, and others.
- Enterprise Software: The NVIDIA NeMo software platform is a comprehensive suite that accelerates model development. It includes tools like NeMo Curator, NeMo Customizer, NeMo Evaluator, and NeMo Guardrails, which simplify data curation, model fine-tuning, performance evaluation, and dialog management, respectively.
- Accelerated Computing: The computing backbone of NVIDIA AI Foundry is the NVIDIA DGX Cloud. This network of accelerated compute resources, co-engineered with leading public clouds like Amazon Web Services, Google Cloud, and Oracle Cloud Infrastructure, allows businesses to develop and fine-tune custom generative AI applications efficiently.
- Expert Support: NVIDIA AI Enterprise experts provide hands-on assistance to customers, guiding them through the process of building, fine-tuning, and deploying their models to ensure they meet business requirements.
- Ecosystem and Partnerships: NVIDIA AI Foundry customers have access to a global ecosystem of partners, including consulting firms like Accenture, Deloitte, Infosys, and Wipro, which offer comprehensive support for AI-driven digital transformation projects.
Industry Leaders Leveraging AI Foundry
Several industry pioneers, including Amdocs, Capital One, Getty Images, KT, Hyundai Motor Company, SAP, ServiceNow, and Snowflake, are already utilizing NVIDIA AI Foundry to drive AI innovation. These companies are setting the stage for a new era of AI-driven advancements in enterprise software, technology, communications, and media.
For example, ServiceNow is using NVIDIA AI Foundry to fine-tune and deploy models that integrate seamlessly within customers’ existing workflows. "Organizations deploying AI can gain a competitive edge with custom models that incorporate industry and business knowledge," said Jeremy Barnes, Vice President of AI Product at ServiceNow.
The Role of NVIDIA NeMo in Model Development
NVIDIA NeMo is an integral part of AI Foundry, providing developers with the tools needed to curate data, customize foundation models, and evaluate performance. Here’s a closer look at its components:
- NeMo Curator: This GPU-accelerated data-curation library prepares large-scale, high-quality datasets for pretraining and fine-tuning, improving generative AI model performance.
- NeMo Customizer: A high-performance, scalable microservice that simplifies the fine-tuning and alignment of large language models (LLMs) for domain-specific use cases.
- NeMo Evaluator: Offers automatic assessment of generative AI models across academic and custom benchmarks on any accelerated cloud or data center.
- NeMo Guardrails: Manages dialog in smart applications with large language models, ensuring accuracy, appropriateness, and security.
Using the NeMo platform, businesses can create AI models that are precisely tailored to their needs, which allows for better alignment with strategic objectives, improved decision-making accuracy, and enhanced operational efficiency. For instance, companies can develop models that understand industry-specific jargon, comply with regulatory requirements, and integrate seamlessly with existing workflows.
Deployment and Scalability
NVIDIA AI Foundry offers flexible deployment options to ensure businesses can scale their AI initiatives as needed without significant upfront investments in hardware. Customers can output their AI Foundry models as NVIDIA NIM inference microservices, which include the custom model, optimized engines, and a standard API to run on their preferred accelerated infrastructure.
Furthermore, inferencing solutions like NVIDIA TensorRT-LLM enhance efficiency for Llama 3.1 models by minimizing latency and maximizing throughput. This allows enterprises to generate tokens faster while reducing the total cost of running the models in production. Enterprise-grade support and security are provided by the NVIDIA AI Enterprise software suite.
Broad Range of Deployment Options
NVIDIA AI Foundry models can be deployed on NVIDIA-Certified Systems from global server manufacturing partners such as Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro. Cloud instances from Amazon Web Services, Google Cloud, and Oracle Cloud Infrastructure are also supported.
Additionally, Together AI, a leading AI acceleration cloud, has announced it will enable its ecosystem of over 100,000 developers and enterprises to use its NVIDIA GPU-accelerated inference stack to deploy Llama 3.1 endpoints and other open models on DGX Cloud. "Every enterprise running generative AI applications wants a faster user experience, with greater efficiency and lower cost," said Vipul Ved Prakash, Founder and CEO of Together AI.
Custom Models for Competitive Advantage
One of the most significant benefits of NVIDIA AI Foundry is its ability to address the unique challenges faced by enterprises in adopting AI. Generic AI models often fall short of meeting specific business needs and data security requirements. Custom AI models, on the other hand, offer superior flexibility, adaptability, and performance, making them ideal for enterprises seeking to gain a competitive edge.
For instance, SAP plans to use NVIDIA’s NeMo platform to help businesses accelerate AI-driven productivity powered by SAP Business AI. "As a next step of our partnership, SAP plans to use NVIDIA’s NeMo platform to help businesses to accelerate AI-driven productivity powered by SAP Business AI," said Philipp Herzig, Chief AI Officer at SAP.
Conclusion
NVIDIA AI Foundry represents a significant leap forward in the field of AI, providing businesses with the tools and infrastructure needed to develop custom AI models that are precisely tailored to their needs. By leveraging the power of AI, companies can enhance their operations, improve decision-making accuracy, and gain a competitive edge in their respective industries.
To learn more about how NVIDIA AI Foundry can boost productivity and innovation in your enterprise, visit NVIDIA AI Foundry.
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