Artificial Intelligence

Enterprises that need to infuse their business with generative AI and LLMs need purpose-built infrastructure that can deliver scalable, multi-node training with predictable, cost-effective performance. By integrating best-of-breed AI supercomputing with high-performance, low-latency network fabrics and tools that streamline developer workflow, enterprises can realize faster time-to-solution on the most complex models with a faster ROI on their AI initiatives.

Accelerated data science delivers improvements across the end-to-end data analytics workflow, whether you’re transforming data for enterprise consumption or visualizing terabyte-scale data to understand a particular problem domain. Data practitioners can use NVIDIA software to easily take advantage of GPU acceleration using their preferred toolset, bringing the power of high-performance computing to your organization with a minimal learning curve. By harnessing the power of high-performance data analytics, businesses can better serve their customers, develop products faster, and enable innovations across their enterprise.

NVIDIA offers performance, efficiency, and responsiveness critical to powering the next generation of AI inference—in the cloud, in the data center, at the network edge, and in embedded devices. It’s designed for data scientists, application developers, and software infrastructure engineers developing computer vision, speech, natural language processing (NLP), generative AI, recommender systems, and more. Deploy accelerated AI inference with the NVIDIA platform.

Companies interact with their customers in multiple languages for billions of minutes each day. With speech and translation AI integrated in their applications, companies derive powerful  insights from these conversations, build better products and services, and offer real-time personalized recommendations. To provide 24/7 services companies use multi-language intelligent virtual assistants and digital avatars with customized domain-specific vocabulary and engaging brand voices.

Data center traffic continues to expand, driven by the explosion of data across the network. This explosion of data has led to increased cybersecurity risk. Collecting and analyzing all of this data in real-time is cost prohibitive and difficult—unless you can leverage accelerated AI. With AI, security analysts can scale their impact with full visibility into data center traffic so that threats can be detected in real-time.