NVIDIA today announced a new NVIDIA AI Foundry service and NVIDIA NIM™ inference microservices to supercharge generative AI for the world’s enterprises with the Llama 3.1 collection of openly available models, also introduced today.
Month: July 2024
Generative AI applications have little, or sometimes negative, value without accuracy — and accuracy is rooted in data. To help developers efficiently fetch the best proprietary data to generate knowledgeable responses for their AI applications, NVIDIA today announced four new NVIDIA NeMo Retriever NIM inference microservices. Combined with NVIDIA NIM inference microservices for the Llama
Read Article
Businesses seeking to harness the power of AI need customized models tailored to their specific industry needs. NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives. Just as TSMC manufactures chips designed by other
Read Article
Telecom companies are challenged with consistently meeting service level agreements (SLAs) for end customers that ensure network quality of service. This…
Telecom companies are challenged with consistently meeting service level agreements (SLAs) for end customers that ensure network quality of service. This includes quickly troubleshooting network devices with complex issues, identifying root causes, and resolving issues efficiently at their network operations centers (NOCs). Current network troubleshooting and repair processes are often time…
Telecom wireless network design demands streamlined processes and standardized approaches. Network architects, engineers, and IT professionals are challenged…
Telecom wireless network design demands streamlined processes and standardized approaches. Network architects, engineers, and IT professionals are challenged with manually retrieving and customizing Topology and Orchestration Specification for Cloud Applications (TOSCA) templates to meet firm industry specifications. This leads to reduced productivity and increases the risk of human errors and…
Team NVIDIA has triumphed at the Amazon KDD Cup 2024, securing first place Friday across all five competition tracks. The team — consisting of NVIDIANs Ahmet Erdem, Benedikt Schifferer, Chris Deotte, Gilberto Titericz, Ivan Sorokin and Simon Jegou — demonstrated its prowess in generative AI, winning in categories that included text generation, multiple-choice questions, name
Read Article
Categories
Gets Hands-On Training at SIGGRAPH 2024
Complimentary trainings on OpenUSD, Digital Humans, LLMs and more with hands-on labs for Full Conference and Experience attendees.
Complimentary trainings on OpenUSD, Digital Humans, LLMs and more with hands-on labs for Full Conference and Experience attendees.
An open ecosystem for physics-informed machine learning (physics-ML) fosters innovation and AI engineering applications. Physics-ML embeds into the learning…
An open ecosystem for physics-informed machine learning (physics-ML) fosters innovation and AI engineering applications. Physics-ML embeds into the learning process the knowledge of physical laws that govern a given dataset. This enables scientists to use prior knowledge to help train a neural network, making it more generalizable and efficient. Yet, as physics-ML is a growing field of…
Categories