Latest news with #NeMo
Web Release
2 days ago
- Business
- Web Release
VAST Data Powers Smarter, Evolving AI Agents with NVIDIA Data Flywheel
VAST Data, the AI Operating System company, announced today that it is delivering a complete data and compute platform that enables AI intelligence to continuously evolve. The VAST AI OS, combined with NVIDIA AI Enterprise, which includes NeMo microservices that power a data flywheel for continuous model improvement, creates a unified environment where AI pipelines can constantly learn, adapt, and improve. This reference workflow provides a self-optimizing foundation for scalable AI, laying the groundwork for billions of intelligent agents to fine-tune and evolve from their data and experiences. This solution provides enterprises with a converged software platform for data management, database services, and AI compute orchestration. Additionally, VAST AI OS AgentEngine uniquely shares feedback by providing the critical capability to map the intricate web of agent-data interactions through production logs. This granular traceability allows the flywheel to dissect these multi-step interactions, accurately identifying which specific elements require adjustment to enhance outcomes, accelerating model performance and accuracy at scale. 'AI-powered businesses need thinking machines designed for a future where billions of AI agents learn from their own experiences, fine-tune in real time, and create new possibilities through collaboration,' said Jeff Denworth, Co-Founder of VAST Data. 'By unifying NVIDIA's AI software and hardware technologies within the core of the VAST AI Operating System, we are giving customers the foundation to operationalize continuous improvements in AI intelligence at scale, with the security, governance, and service delivery tools required to manage these intelligent agents and the data they rely upon.' As AI moves from isolated projects to always-on infrastructure, businesses need systems that evolve in real time with every data point while addressing new security and governance challenges around fine-tuned models, agent interactions, and decentralized data pipelines. This collaboration makes it possible to run continuous, automated AI pipelines – from ingestion to inference to retraining – all managed within the VAST AI Operating System. Among the first to embrace this strategy is CACEIS, one of Europe's largest asset servicing firms. In collaboration with VAST and NVIDIA, CACEIS is exploring a real-time AI platform concept designed to securely capture, transcribe, and analyze 100% of client meetings. The vision is for the system to instantly generate meeting minutes, surface actionable insights, and deliver anonymized trend data — all seamlessly integrated into their sovereign CRM. With an end-to-end security model at its foundation, the platform is being designed to safeguard client privacy and data integrity while continuously evolving through every interaction. 'AI will be a game-changer, highlighting trends in current needs by analysing meeting reports so we can better serve clients,' said Arnaud Misset, Chief Digital Officer, CACEIS. Using VAST's AgentEngine that leverages the NVIDIA AI-Q Blueprint, CACEIS is developing a platform proof of concept that would enable AI agents to assist relationship managers in real time and help uncover new business opportunities. Built by NVIDIA NeMo microservices and the NVIDIA data flywheel blueprint, the envisioned CACEIS AI factory would continuously capture data and insights from every customer interaction. These feedback loops are intended to drive ongoing model refinement and training, allowing the system to improve and adapt with each meeting. As AI agents learn from one another and from human counterparts, this concept sets the stage for new ideas, collective intelligence, and enterprise-wide knowledge sharing to take shape. This capability was showcased during NVIDIA's Kari Briski's presentation at GTC Europe in Paris. Watch the demo replay here. This collaboration signals a broader shift in enterprise AI, from one-size-fits-all models to dynamic ecosystems of intelligent agents that continuously fine-tune, collaborate, and generate new ideas from their own data and interactions. Managing these agents at scale requires fine-grained security, governance, and access controls to ensure they operate safely and within defined boundaries. It also demands scalable, dynamic infrastructure capable of handling the varied and unpredictable demands of AI agents as they interact with diverse data tools and services. The VAST AI Operating System provides this real-time data infrastructure, along with compute orchestration, QoS tools that enforce fairness as different agents run within the environment, and a security framework to refine intelligence and operationalize AI innovation in a secure, scalable, and adaptive system. 'Data flywheels leverage each interaction with an AI agent to continuously improve system intelligence and value,' said Kari Briski, Vice President of Generative AI Software at NVIDIA. 'CACEIS is an exemplary pioneer with a vision of building an agentic AI data flywheel with NVIDIA and VAST to supercharge productivity for financial services in Europe.' Additional Resources: ? VAST + NVIDIA ? DEMO: AI Agents Unlocked: CACEIS Redefines Client Conversations With VAST Data and NVIDIA ? NVIDIA BLOG: Chat with Your Enterprise Data: Open-Source AI-Q NVIDIA Blueprint Puts Institutional Knowledge at Your Fingertips ? NVIDIA BLOG: Sovereign AI Agents Think Local, Act Global With NVIDIA AI Factories ? NVIDIA BLOG: Build Efficient AI Agents Through Model Distillation With NVIDIA's Data Flywheel Blueprint
Yahoo
4 days ago
- Business
- Yahoo
Nvidia (NVDA) Teams With Novo Nordisk to Advance AI Drug Discovery
Nvidia (NVDA, Financials) said Tuesday it is partnering with Novo Nordisk to accelerate drug discovery using its generative and agentic AI tools. Warning! GuruFocus has detected 4 Warning Signs with NVDA. The collaboration will use Denmark's sovereign AI supercomputer, Gefion, operated by DCAI and powered by Nvidia's DGX SuperPOD. Novo Nordisk will deploy Nvidia's BioNeMo, NeMo and NIM platforms to support early research, clinical development and biomedical modeling. Nvidia said the work aims to build custom AI models that help scientists identify cellular responses and develop drug-like molecules more efficiently. Novo Nordisk said the infrastructure will enable experiments at unprecedented scale. Gefion is also being used by Danish startups and health agencies to build AI care systems and unify national health data, Nvidia said. This article first appeared on GuruFocus. Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
TECHx
5 days ago
- Business
- TECHx
VAST Data Unveils AI OS to Power Evolving AI Agents
Home » Tech Value Chain » Global Brands » VAST Data Unveils AI OS to Power Evolving AI Agents VAST Data, the AI Operating System company, has announced a complete data and compute platform that enables continuous AI intelligence evolution. The VAST AI OS, integrated with NVIDIA AI Enterprise and NeMo microservices, powers a self-optimizing AI flywheel. This creates a unified environment where AI pipelines can learn, adapt, and improve at scale. The platform delivers: A converged software solution for data management, database services, and AI compute orchestration. AgentEngine, a tool offering feedback by mapping complex agent-data interactions through production logs. This approach allows enterprises to identify and adjust key performance elements, boosting model accuracy and learning speed. Jeff Denworth, Co-Founder of VAST Data, said the solution supports businesses building 'thinking machines' that fine-tune in real time and collaborate to generate new outcomes. By integrating NVIDIA's software and hardware within the VAST AI OS, the company enables customers to manage AI agents and data with security, governance, and service tools. As AI moves into real-time, always-on infrastructure, enterprises require systems that evolve with each data point while addressing security and governance for decentralized pipelines and agent interactions. This collaboration enables automated AI workflows from ingestion to inference and retraining within the VAST AI Operating System. CACEIS, one of Europe's largest asset servicing firms, is among the first adopters. In partnership with VAST and NVIDIA, it is exploring a real-time AI platform that: Captures and analyzes 100% of client meetings. Instantly generates meeting minutes and insights. Integrates anonymized data into a secure CRM. The platform features an end-to-end security model to protect privacy and ensure data integrity. CACEIS is also using VAST's AgentEngine with NVIDIA AI-Q Blueprint to develop AI agents that support relationship managers and reveal business opportunities. These agents will use NeMo microservices to refine models through continuous feedback and shared intelligence. Kari Briski, Vice President of Generative AI Software at NVIDIA, showcased this capability at GTC Europe in Paris. The demo highlighted the role of data flywheels in enhancing system intelligence. Briski stated that CACEIS is a pioneer in building agentic AI systems with NVIDIA and VAST to boost productivity in financial services. VAST Data's solution represents a shift from static models to dynamic AI ecosystems. These systems require scalable infrastructure and strict governance to support evolving intelligent agents across enterprise environments.
Yahoo
13-06-2025
- Business
- Yahoo
AI Chips Update - AI Blueprint Revolutionizes Financial Services With NVIDIA Technology
Dataiku has introduced a new FSI Blueprint, aimed at facilitating the deployment of agentic AI systems within the financial services sector. This blueprint, enhanced by NVIDIA's accelerated computing technologies, supports banking and insurance firms in creating and managing intelligent AI agents at scale, while adhering to industry regulations. Leveraging NVIDIA's NIM microservices, NeMo, and GPU infrastructure, the blueprint offers a secure and modular framework suitable for diverse applications such as fraud detection and risk analysis. This collaboration marks a significant step in expanding AI accessibility and productivity within highly regulated industries. last closed at $143.96 up 0.9%. Elsewhere in the market, was a standout up 7.8% and closing at $22.08. In the meantime, trailed, down 4.6% to close at CN¥135.50. On Tuesday, the company held a special call to discuss its major asset restructuring. NVIDIA's Blackwell architecture is set to significantly enhance AI capabilities. Learn more about its potential impact and timing by viewing our detailed narrative. Check out our Market Insights article, 'AI Enters the 'Show Me The Money' Phase,' highlighting AI Chips' investment potential and competitors—get in fast! finished trading at $159.13 up 2.4%. settled at $123.24 up 1.2%. AMD announced that Nokia will use its 5th Gen EPYC™ processors for the Nokia Cloud Platform to enhance 5G infrastructure performance on 10 June 2025, just one day ago. ended the day at €684.50 up 0.6%. Access the full spectrum of 53 AI Chip Stocks including BE Semiconductor Industries, Entegris and Will Semiconductor by clicking on this link. Interested In Other Possibilities? AI is about to change healthcare. These 22 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10b in market cap - there's still time to get in early. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sources: Simply Wall St "Dataiku Unveils Enterprise-Grade Blueprint to Accelerate Agentic AI in Financial Services Built with NVIDIA" from Dataiku on GlobeNewswire (published 11 June 2025) Companies discussed in this article include NasdaqGS:INTC NasdaqGS:QCOM NasdaqGS:AMD NasdaqGS:NVDA ENXTAM:ASML and SHSE:688041. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@
Al Etihad
12-06-2025
- Business
- Al Etihad
Falcon-H1 language model to be offered as NVIDIA NIM Microservice
12 June 2025 19:17 ABU DHABI (ALETIHAD) The Technology Innovation Institute (TII), a leading global research centre headquartered in Abu Dhabi, has announced that its next-generation open-source language model, Falcon-H1, will be available as a NVIDIA Inference Microservice (NIM), a move that significantly enhances the model's enterprise deployment in parallel with NVIDIA's GTC showcase in Paris, the initiative positions Falcon-H1 for immediate integration across cloud, on-premise and hybrid environments, a statement from TII said. The availability of Falcon-H1 on NIM will enable developers to deploy it with production-grade performance, bypassing the need for complex infrastructure customisation.'Falcon-H1's availability on NVIDIA NIM reflects our ongoing leadership in shaping the future of open, sovereign, and cross-domain deployment-ready AI. It demonstrates that breakthrough innovation from our region is not only competitive on the global stage – it's setting new benchmarks for scalable, secure, and enterprise-ready AI,' said Dr. Najwa Aaraj, CEO of is built on an innovative hybrid Transformer–Mamba architecture, blending the efficiency of state space models (SSMs) with the advanced reasoning power of Transformer networks. This design supports context windows of up to 256,000 tokens, enabling long-context reasoning and high-speed inference with reduced memory overhead. Its multilingual design ensures competitive performance across both high- and low-resource to Dr. Hakim Hacid, Chief AI Researcher at TII, 'Falcon-H1's availability on NVIDIA NIM bridges the gap between cutting-edge model design and real-world operability. It combines our hybrid architecture with the performance and reliability of NVIDIA microservices. Developers can integrate Falcon-H1 optimised for long-context reasoning, multilingual versatility, and real-world applications. What once required weeks of infrastructure tuning becomes achievable in minutes at scale, with multilingual depth, and production resilience.'The integration with NVIDIA's NeMo microservices and AI Blueprints adds full lifecycle tooling for tasks such as data curation, safety guardrails, and post-deployment optimisation. This makes Falcon-H1 a fit for regulated and latency-sensitive AI deployments, further enhancing its credentials as a sovereign AI solution. With over 55 million downloads, the Falcon model family is among the most widely adopted open-source AI efforts from the Middle East. TII's alignment with NVIDIA's enterprise-grade deployment frameworks affirms Falcon-H1's status as a production-ready, sovereign AI alternative to proprietary systems.
