Do you think NVIDIA is just a leader in the AI hardware market? Think again. This world-leading company is helping all kinds of organizations build, train, and deploy AI at scale. It offers the perfect combination of hardware and software solutions, including NVIDIA AI Enterprise for businesses.
The NVIDIA AI Enterprise cloud-native software platform accelerates data science pipelines, enhances the development of AI applications, and helps companies cut the cost of AI implementation. With a combination of in-built security solutions, flexible deployment options, and scalable performance, NVIDIA’s cloud-based platform is a game changer in AI.
- If you plan on launching a new AI initiative in your organization, NVIDIA’s AI Enterprise suite could be the all-in-one solution you’ve been searching for. Learn more about NVIDIA’s AI solutions for the enterprise here. Alternatively, check out our top tips for a successful NVIDIA AI technology integration.
Here, we’ll introduce you to the core features of NVIDIA AI Enterprise, what it can do for evolving organizations, and how it’s reshaping the future of intelligence as we know it.
What is NVIDIA AI Enterprise for Businesses?
NVIDIA AI Enterprise for businesses is a cloud-native software platform built to simplify the development and deployment of production-grade AI applications. It’s helping organizations to create generative AI apps, design agentic AI workflows, and even experiment with multimodal RAG, digital humans, route optimization, and more.
This flexible ecosystem (ready to deploy anywhere) offers access to features like:
- Optimized NIM Inference Microservices: With the NIM microservices, companies can accelerate AI deployment. These solutions increase LLM throughput by five times. They can also improve retrieval throughput by two times and even increase accuracy by 30%. These pre-optimized services ensure that AI models run faster, more efficiently, and at lower cost – whether they’re powering chatbots, fraud detection, or multimodal search engines.
- Frameworks, Libraries, and Containers: NVIDIA AI Enterprise offers access to various frameworks and libraries, such as Riva, NeMo and RAPIDs to simplify development pipelines. They also come with access to production-ready AI containers, industry-standard APIs, reference architecture workflows, and more. There are even tools and libraries to streamline data analytics, AI training, and customization strategies.
- Flexible deployment options: AI should adapt to your business, not the other way around. NVIDIA AI Enterprise supports cloud, on-premises, and hybrid environments, making deploying AI across AWS, Azure, Google Cloud, data centers, and even workstations easy.
- Enterprise-grade security and reliability: When it comes to enterprise AI, security isn’t optional. NVIDIA AI Enterprise provides predictable software branches for API stability, proactive security patches, and NVIDIA Enterprise Support, ensuring continuous compliance. Whether you’re dealing with sensitive financial data or proprietary healthcare records, NVIDIA keeps AI workloads secure and manageable.
Plus, NVIDIA AI Enterprise for businesses is designed to be inherently scalable, whether you’re working with edge AI clusters, virtualized environments, or bare metal servers.
Scaling AI Adoption: NVIDIA AI Enterprise Flexibility
One key feature that makes NVIDIA AI Enterprise so compelling to companies in various industries is its flexibility. After all, AI isn’t a one-size-fits-all solution. Some companies need the agility and scalability of the cloud, while others want the control offered by on-premises deployments. Many want the best of both worlds.
NVIDIA AI Enterprise is built for flexibility, seamlessly integrating with leading cloud platforms like AWS, Microsoft Azure, Google Cloud, and Oracle Cloud. Companies can choose to optimize AI workloads on cloud-based NVIDIA GPUs – such as those powering AWS EC2 instances and Google Cloud’s A2 VMs. Plus, they can explore cloud-native Kubernetes environments with containerized AI deployments.
NVIDIA AI Enterprise supports on-premises and hybrid deployments for businesses handling sensitive data, such as those in banking, healthcare, and government industries. Its technology can be used with VMware vSphere, Red Hat OpenShift, Kubernetes, and more.
NVIDIA AI Enterprise for Businesses: Case Studies
NVIDIA AI Enterprise for businesses powers a huge range of use cases across industries. The company has shared how industry leaders use the technology for various use cases. Those include Retrieval-Augmented Generation (RAG), digital human development, drug discovery, and even building AI chatbots.
Here are some real-world examples of major companies benefiting from NVIDIA’s flexible, scalable, and secure enterprise AI system:
Amgen: Accelerating Drug Discovery
Using NVIDIA DGX Cloud, BioNeMo, and the NVIDIA AI Enterprise ecosystem, leading biotechnology company Amgen is training LLMs to accelerate drug discovery. They’re using these tools to help AI systems predict the properties of proteins and develop biologics with enhanced properties to tackle conditions ranging from arthritis and anemia to cancer.
ServiceNow: Improving Access to Enterprise AI
Leading digital workflow company ServiceNow partnered with NVIDIA to advance their use of enterprise-grade generative AI. The company uses NVIDIA NIM inference microservices in the AI Enterprise platform to accelerate LLM development and deployment. With NVIDIA, ServiceNow has added a range of new generative AI features to its platform.
Amdocs: AI in Telecommunications
Amdocs, a provider of software and services for media and communications providers, built amAIz with NVIDIA AI Enterprise and the DGX Cloud. This domain-specific generative AI platform gives telcos an open, secure, and cost-effective framework for developing intelligent models for various use cases, from customer billing to data collection.
ControlExpert: Innovating Claims MANAGEMENT
ControlExpert, a motor insurance claims management company, uses NVIDIA AI Enterprise to accelerate claims management. With computer vision and natural language processing capabilities, claimants can easily notify insurers about claims. They can take photos of a vehicle after an accident and provide documentation quickly while helping business leaders detect signs of insurance fraud rapidly.
AI Scalability, Security, and Performance: The NVIDIA Advantage
NVIDIA AI Enterprise for businesses is revolutionizing how companies gain access to cutting-edge, scalable, and intuitive AI technologies. With enterprise-grade security features, such as AI workload isolation and encryption, the ecosystem keeps sensitive data protected during AI deployments. At the same time, it delivers exceptional performance by leveraging NVIDIA GPUs and microservices.
Plus, with NVIDIA AI Enterprise, companies can deploy and scale their AI initiatives however they choose. There are plenty of convenient integrations with cloud platforms and on-premises solutions.
