NVIDIA AI Foundry: Empowering Enterprises with Custom Generative AI Models

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NVIDIA AI Foundry: In today’s fast-evolving tech landscape, businesses are increasingly turning to AI to gain a competitive edge. However, the key to truly harnessing AI’s power lies in creating models tailored specifically to an organization’s needs. NVIDIA AI Foundry offers a groundbreaking service that helps companies develop and deploy custom generative AI models, transforming their AI strategies.

NVIDIA AI Foundry: Empowering Enterprises with Custom Generative AI Models

Transformative Custom AI Models with NVIDIA AI Foundry

Similar to how TSMC fabricates chips designed by other companies, NVIDIA AI Foundry provides the essential tools and infrastructure for creating bespoke AI models. Utilizing resources like DGX Cloud, foundational models, NVIDIA NeMo software, and a broad ecosystem of support, NVIDIA AI Foundry enables enterprises to customize and enhance AI models to fit their unique requirements.

While TSMC focuses on producing semiconductor chips, NVIDIA AI Foundry specializes in crafting custom AI models. Both facilitate innovation and connect users to a broad range of tools and partners.

Enterprises can leverage AI Foundry to personalize various NVIDIA and open community models, including the newly introduced Llama 3.1 collection, along with other models such as NVIDIA Nemotron, CodeGemma by Google DeepMind, CodeLlama, Gemma by Google DeepMind, Mistral, Mixtral, Phi-3, and StarCoder2.

Leading the Way in AI Innovation

Trailblazing companies such as Amdocs, Capital One, Getty Images, KT, Hyundai Motor Company, SAP, ServiceNow, and Snowflake are early adopters of NVIDIA AI Foundry. These pioneers are paving the way for a new wave of AI-driven advancements across various industries, from technology and software to communications and media.

“Organizations that deploy AI can gain a significant advantage by using custom models that integrate industry-specific knowledge,” noted Jeremy Barnes, vice president of AI Product at ServiceNow. “ServiceNow is leveraging NVIDIA AI Foundry to refine and implement models that seamlessly fit into our customers’ existing workflows.”

Core Features of NVIDIA AI Foundry

NVIDIA AI Foundry is built on several foundational pillars: foundation models, enterprise software, accelerated computing, expert guidance, and a diverse partner network.

The platform includes AI foundation models from NVIDIA and the AI community, complemented by the NVIDIA NeMo software suite, which accelerates model development.

The backbone of NVIDIA AI Foundry is the NVIDIA DGX Cloud, a robust network of high-performance computing resources developed in partnership with leading public cloud providers—Amazon Web Services, Google Cloud, and Oracle Cloud Infrastructure. DGX Cloud allows AI Foundry users to develop and fine-tune custom generative AI applications with remarkable ease and efficiency, scaling their AI projects as needed without substantial initial hardware investments. This flexibility is essential for businesses aiming to stay agile in a dynamic market.

For those needing support, NVIDIA AI Enterprise experts are available to guide customers through each phase of model development, ensuring that the final models meet their business needs effectively.

NVIDIA AI Foundry customers benefit from a global network of partners providing comprehensive support. Firms like Accenture, Deloitte, Infosys, and Wipro offer consulting services that include AI-driven digital transformation strategies. Accenture, in particular, has launched its AI Refinery framework based on AI Foundry, focusing on custom model development.

Moreover, service partners such as Data Monsters, Quantiphi, Slalom, and SoftServe assist businesses in integrating AI with their existing IT systems, ensuring scalability, security, and alignment with business goals.

Customers can deploy NVIDIA AI Foundry models using AIOps and MLOps platforms from NVIDIA partners, including Cleanlab, DataDog, Dataiku, Dataloop, DataRobot, Domino Data Lab, Fiddler AI, New Relic, Scale, and Weights & Biases.

Models from NVIDIA AI Foundry can be used as NVIDIA NIM inference microservices, which include the custom model, optimized engines, and a standardized API for preferred accelerated infrastructures.

Inference solutions like NVIDIA TensorRT-LLM enhance the efficiency of Llama 3.1 models, reducing latency and increasing throughput. This capability allows enterprises to generate tokens more quickly while lowering overall production costs. NVIDIA AI Enterprise software ensures robust support and security.

Key Components of NVIDIA AI Foundry

ComponentDescription
Domain Model CustomizationRefines and tailors prebuilt foundation models using specific customer data.
Switchboard PlatformEnables selection of models based on context, cost, or accuracy requirements.
Enterprise Cognitive BrainIndexes corporate data to enhance AI model performance.
Agentic ArchitectureFacilitates autonomous AI actions with minimal human intervention.
NVIDIA AI Foundry Description

Pros and Cons of NVIDIA AI Foundry

Pros:

  • Customization: Offers tailored AI models to meet specific business needs.
  • Scalability: Provides flexibility with NVIDIA DGX Cloud and integration with major public clouds.
  • Expert Guidance: Access to NVIDIA experts for comprehensive model development support.
  • Ecosystem: Wide range of partners for consulting and service delivery.
  • Efficient Inference: Technologies like TensorRT-LLM enhance model efficiency and reduce costs.

Cons:

  • Complexity: Developing and fine-tuning models may require significant expertise.
  • Cost: Potentially high costs for advanced computing resources and consulting services.
  • Integration: Challenges may arise in integrating new AI models with existing IT systems.
  • Data Security: Managing proprietary data requires careful handling to ensure security.

Custom Models as a Competitive Edge

NVIDIA AI Foundry’s ability to create custom AI models addresses the specific needs and challenges of enterprises. While generic models may not always meet particular business requirements, custom models offer superior adaptability, performance, and alignment with business goals. This customization helps businesses stay competitive by fostering innovation, enhancing decision-making, and improving operational efficiency.

With NVIDIA AI Foundry, enterprises can develop AI solutions tailored to their exact needs, driving greater value from their AI investments and positioning themselves for success in a rapidly evolving landscape.

More Details: See Official Announcement

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