NeMo Microservices

Apr 23, 2025
Enhance Your AI Agent with Data Flywheels Using NVIDIA NeMo Microservices
Enterprise data is constantly changing. This presents significant challenges for maintaining AI system accuracy over time. As organizations increasingly rely on...
12 MIN READ

Dec 11, 2024
Three Building Blocks for Creating AI Virtual Assistants for Customer Service with an NVIDIA AI Blueprint
In today's fast-paced business environment, providing exceptional customer service is no longer just a nice-to-have—it's a necessity. Whether addressing...
10 MIN READ

Nov 20, 2024
Advancing Neuroscience Research with Visual Question Answering and Multimodal Retrieval
Leading healthcare organizations are turning to generative AI to help build applications that can deliver life-saving impacts. These organizations include the...
8 MIN READ

Nov 13, 2024
Expanding AI Agent Interface Options with 2D and 3D Digital Human Avatars
When interfacing with generative AI applications, users have multiple communication options—text, voice, or through digital avatars. Traditional chatbot...
5 MIN READ

Oct 15, 2024
DataStax Announces New AI Development Platform, Built with NVIDIA AI
As enterprises increasingly adopt AI technologies, they face a complex challenge of efficiently developing, securing, and continuously improving AI applications...
6 MIN READ

Sep 19, 2024
Spotlight: SLB and NVIDIA Collaborate on Generative AI Solutions for Energy
Global energy technology company SLB has announced the next milestone in its long-standing collaboration with NVIDIA to develop and scale generative AI...
3 MIN READ

Jul 23, 2024
Develop Production-Grade Text Retrieval Pipelines for RAG with NVIDIA NeMo Retriever
Enterprises are sitting on a goldmine of data waiting to be used to improve efficiency, save money, and ultimately enable higher productivity. With generative...
6 MIN READ

Jul 23, 2024
Build an Agentic RAG Pipeline with Llama 3.1 and NVIDIA NeMo Retriever NIMs
Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not...
7 MIN READ

Jul 08, 2024
Deploy Multilingual LLMs with NVIDIA NIM
Multilingual large language models (LLMs) are increasingly important for enterprises operating in today's globalized business landscape. As businesses expand...
9 MIN READ

Jun 28, 2024
Create RAG Applications Using NVIDIA NIM and Haystack on Kubernetes
Step-by-step guide to build robust, scalable RAG apps with Haystack and NVIDIA NIMs on Kubernetes.
1 MIN READ

Jun 17, 2024
Video: Talk to Your Supply Chain Data Using NVIDIA NIM
NVIDIA operates one of the largest and most complex supply chains in the world. The supercomputers we build connect tens of thousands of NVIDIA GPUs with...
2 MIN READ

May 17, 2024
Training Localized Multilingual LLMs with NVIDIA NeMo, Part 2
In Part 1, we discussed how to train a monolingual tokenizer and merge it with a pretrained LLM’s tokenizer to form a multilingual tokenizer. In this post, we...
8 MIN READ

May 17, 2024
Training Localized Multilingual LLMs with NVIDIA NeMo, Part 1
In today's globalized world, the ability of AI systems to understand and communicate in diverse languages is increasingly crucial. Large language models (LLMs)...
14 MIN READ

Mar 27, 2024
Streamline Evaluation of LLMs for Accuracy with NVIDIA NeMo Evaluator
Large language models (LLMs) have demonstrated remarkable capabilities, from tackling complex coding tasks to crafting compelling stories to translating natural...
5 MIN READ

Mar 27, 2024
Fine-Tune and Align LLMs Easily with NVIDIA NeMo Customizer
As large language models (LLMs) continue to gain traction in enterprise AI applications, the demand for custom models that can understand and integrate specific...
5 MIN READ

Mar 18, 2024
Translate Your Enterprise Data into Actionable Insights with NVIDIA NeMo Retriever
Across every industry, and every job function, generative AI is activating the potential within organizations—turning data into knowledge and empowering...
9 MIN READ