Blueprints serve as customisable AI workflow examples, and come with reference code, deployment tools and documentation to help enterprises – in this case telcos – put them to work using Nvidia's NIM ...

The default sample deployment contains: Inference and embedding are performed by accessing model endpoints running on NVIDIA API Catalog. Most examples use the Meta Llama 3 70B Instruct model for ...

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. - NVIDIA/GenerativeAIExamples. Skip to content. Navigation Menu Toggle navigation. ... RAG ...

The 671-billion-parameter DeepSeek-R1 model is now available as a preview NIM and can deliver up to 3,872 tokens per second on a single Nvidia HGX H200 system.

Enhancing AI Deployment. NVIDIA's NIM microservices are designed for GPU-accelerated inferencing, suitable for both pretrained and custom AI models. These services integrate NVIDIA's advanced ...

NVIDIA's NIM microservices play a crucial role in accelerating the deployment of generative AI on diverse cloud or data center environments. These microservices support a wide range of AI models, ...

Cisco and Nvidia have expanded their partnership to create their most advanced AI architecture package to date, designed to promote secure enterprise AI networking.. The companies rolled out the ...

deepset’s solution leverages NVIDIA AI Enterprise, including Triton Inference Server for optimized performance, NVIDIA NIM microservices including NeMo Retriever text embedding NIM and NeMo ...

SAN JOSE, Calif., March 18, 2025--deepset, a leader in enterprise AI orchestration, today announced its Custom AI Agent Solution Architecture that enables enterprises to deploy AI agents securely ...