WWT's AI Proving Ground with NVIDIA Blueprints: Force Multipliers for Scaling Enterprise AI
In this blog
We are thrilled to be one of the partners rolling out NVIDIA Blueprints, a collection of pretrained, tailorable AI workflows that equip enterprise developers with a full software suite for creating and deploying safe and secure generative AI (GenAI) applications at scale.
NVIDIA's initial collection of Blueprints includes these three workflows:
- Digital Humans for Customer Service: Increase engagement and satisfaction for user-facing applications by enabling natural conversations with enterprise applications and data.
- Multimodal PDF Data Extraction for Enterprise RAG: Transform business operations by reducing the time and resources traditionally required to retrieve and analyze unprecedented volumes of information — accelerating the delivery of accurate, insightful responses.
- Generative Virtual Screening for Drug Discovery: Generate better molecules by optimizing your search through chemical space with GenAI and screen them faster with optimized NIM microservices. This will help reduce time and costs while increasing the hit rate of computational small-molecule drug design.
This is exciting news for WWT and our enterprise clients, particularly given our status as the NVIDIA Partner Network's AI Enterprise Partner of the Year for 2024.
What's so exciting about NVIDIA Blueprints for WWT and our clients? Let me explain.
Jumpstarting scalable AI transformation
As GenAI becomes increasingly central to modern business strategies, executives are wisely embracing the need for AI transformation. In practice, that means today's enterprises are likely already experimenting with GenAI in some form. However, the vast majority of enterprises have been slow to create repeatable successes in terms of developing and scaling GenAI applications for enterprise use.
Why is that?
There are a number of potential explanations. Delays to AI success can often spring from roadblocks like silos of GenAI experimentation or misalignment of GenAI use cases and priorities. Concerns about data quality, uncertain ROI metrics for AI at scale, costs and more can all compound executive frustrations.
NVIDIA NIM, part of the NVIDIA AI Enterprise software platform, helps enterprises more easily develop and scale AI applications. NVIDIA Blueprints will further supercharge these capabilities as the collection of workflows grows.
In recent years, many of the difficulties related to traditional AI/ML development work have been abstracted away by consumer-facing foundational AI models like ChatGPT. NVIDIA NIM microservices can support similar ease for enterprise AI development workflows.
How? In a nutshell, NIM provides developers with an abstraction layer of AI microservices that enables them to build individualized enterprise AI solutions in a production-line manner. This is a big deal because most GenAI applications are built individually with human resources and costs that simply cannot scale to the enterprise level.
To make the scenario easier to envision, you can think about these NIM microservices as AI LEGO bricks — composable building blocks that developers can leverage with NVIDIA AI Enterprise to accelerate the speed at which they can develop and scale GenAI applications, regardless of where that AI workload will run (e.g., in the cloud, in a data center, at the edge, etc.).
NIM microservices make it easy to create AI enterprise applications that can be individualized with custom guardrails to meet specific business needs or requirements. They have the potential to play a greater role in helping achieve a futuristic vision of agentic AI — one where personalized AI models autonomously communicate with each other and perform tasks for their users in the background.
For large enterprise organizations, NIM microservices offer tools for developing and scaling AI in alignment with their AI vision, goals, maturity and budget.
The AI Proving Ground: A force multiplier for NVIDIA Blueprints
WWT's AI Proving Ground can serve as a powerful multiplier for NIM Blueprints for our clients. Our unique lab environment features an unrivaled blend of multi-OEM infrastructure, software and cloud connectivity — all designed to safely accelerate our clients' decision-making when it comes to finding the right AI-powered solutions for their organizations.
Enterprise organizations can trust WWT to help them develop a methodology for governing and scaling AI responsibly, safely and securely. NVIDIA NIM can supply the microservices needed to containerize different AI solutions.
Using the AI Proving Ground, your organization will be able to efficiently test and validate different AI use cases, working through issues related to AI integration, security, compatibility, trustworthiness and more. You'll be supported by a vast internal network of technical and consulting experts who excel at connecting and aligning AI stakeholders and accelerating AI initiatives.
Discover the force multiplier of the AI Proving Ground with NVIDIA Blueprints today.