Latest news with #NVIDIAEnterpriseAIFactory
Yahoo
22-05-2025
- Business
- Yahoo
CrowdStrike Strengthens AI Security with NVIDIA Enterprise AI Factory Integration
On May 19, CrowdStrike Holdings, Inc. (NASDAQ:CRWD) announced its integration into the NVIDIA Enterprise AI Factory validated design, enabling enterprises to protect AI infrastructure, systems, and models as they scale AI adoption. A financial planner carefully scrutinizing company's investment portfolio. With NVIDIA Blackwell infrastructure, this validated design provides a full-stack AI ecosystem—covering data ingestion, model training, deployment, and runtime use—to help businesses harness AI efficiently. However, AI expansion also introduces risks such as data poisoning, model tampering, and exposure to sensitive data. To combat these threats, CrowdStrike Falcon secures AI with AI, using a continuous feedback loop powered by trillions of daily security events processed by its platform. With insights from elite threat hunters and intelligence analysts, CrowdStrike delivers machine-speed detection and response against both known and emerging threats. Innovations such as Falcon Cloud Security AI-SPM, AI Model Scanning, and Shadow AI detection help businesses identify and mitigate AI-related risks before they escalate. Combined with CrowdStrike AI Red Team Services and Falcon Adversary OverWatch, the integration provides end-to-end security for AI-driven enterprise operations within the NVIDIA AI Factory. As a global cybersecurity leader, CrowdStrike continues to redefine modern security with its cloud-native Falcon platform, securing endpoints, cloud workloads, identity, and data with real-time threat intelligence, automated protection, and elite threat hunting. The platform's lightweight architecture ensures rapid deployment, superior protection, and reduced complexity, reinforcing AI security in today's digital landscape. While we acknowledge the potential of CrowdStrike Holdings, Inc. (NASDAQ:CRWD) as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than CRWD and that has 100x upside potential, check out our report about the cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Straits Times
22-05-2025
- Business
- Straits Times
ASUS Announces Advanced AI POD Design Built with NVIDIA at Computex 2025
Enterprise-optimized reference architectures for accelerated AI infrastructure solutions TAIPEI, May 20, 2025 /PRNewswire/ -- ASUS today announced at Computex 2025 that it is pioneering the next wave of intelligent infrastructure with the launch of the NVIDIA® Enterprise AI Factory validated design, featuring advanced ASUS AI POD designs with optimized reference architectures. These solutions are available as NVIDIA-Certified Systems across NVIDIA Grace Blackwell, HGX, and MGX platforms, supporting both air-cooled and liquid-cooled data centers. Engineered to accelerate agentic AI adoption at every scale, these innovations deliver unmatched scalability, performance, and thermal efficiency, making them the ultimate choice for enterprises seeking to deploy AI at unprecedented speed and scale. ASUS Announces Advanced AI POD Design Built with NVIDIA at Computex 2025 NVIDIA Enterprise AI Factory with ASUS AI POD The validated NVIDIA Enterprise AI Factory with ASUS AI POD design provides guidance for developing, deploying, and managing agentic AI, physical AI, and HPC workloads on the NVIDIA Blackwell platform on-premises. Designed for enterprise IT, it provides accelerated computing, networking, storage, and software to help deliver faster time-to-value AI factory deployments while mitigating deployment risks. Below are the reference architecture designs that help clients use approved practices, acting as a knowledge repository and a standardized framework for diverse applications. For massive-scale computing, the advanced ASUS AI POD, accelerated by NVIDIA GB200/GB300 NVL72 racks and incorporating NVIDIA Quantum InfiniBand or NVIDIA Spectrum-XEthernet networking platforms, features liquid cooling to enable a non-blocking 576-GPU cluster across eight racks, or an air-cooled solution to support one rack with 72 GPUs. This ultra-dense, ultra-efficient architecture redefines AI reasoning computing performance and efficiency. AI-ready racks: Scalable power for LLMs and immersive workloads ASUS presents NVIDIA MGX-compliant rack designs with ESC8000 series featuring dual Intel® Xeon® 6 processors and RTX PRO™ 6000 Blackwell Server Edition with the latest NVIDIA ConnectX-8 SuperNIC – supporting speeds of up to 800Gb/s or other scalable configurations — delivering exceptional expandability and performance for state-of-the-art AI workloads. Integration with the NVIDIA AI Enterprise software platform provides highly-scalable, full-stack server solutions that meet the demanding requirements of modern computing. In addition, NVIDIA HGX reference architecture optimized by ASUS delivers unmatched efficiency, thermal management, and GPU density for accelerated AI fine-tuning, LLM inference, and training. Built on the ASUS XA NB3I-E12 with NVIDIA HGX B300 or ESC NB8-E11 embedded with NVIDIA HGX B200, this centralized rack solution offers unmatched manufacturing capacity for liquid-cooled or air-cooled rack systems, ensuring timely delivery, reduced total cost of ownership (TCO), and consistent performance. Engineered for the AI Factory, enabling next-gen agentic AI Integrated with NVIDIA's agentic AI showcase, ASUS infrastructure supports autonomous decision-making AI, featuring real-time learning, and scalable AI agents for business applications across industries. As a global leader in AI infrastructure solutions, ASUS provides complete data center excellence with both air- and liquid-cooled options — delivering unmatched performance, efficiency, and reliability. We also deliver ultra-high-speed networking, cabling and storage rack architecture designs with NVIDIA-certified storage, RS501A-E12-RS12U as well as the VS320D series to ensure seamless scalability for AI/HPC applications. Additionally, advanced SLURM-based workload scheduling and NVIDIA UFM fabric management for NVIDIA Quantum InfiniBand networks optimize resource utilization, while the WEKA Parallel File System and ASUS ProGuard SAN Storage provide high-speed, scalable data handling. ASUS also provides a comprehensive software platform and services, including ASUS Control Center (Data Center Edition) and ASUS Infrastructure Deployment Center (AIDC), ensuring seamless development, orchestration, and deployment of AI models. ASUS L11/L12-validated solutions empower enterprises to deploy AI at scale with confidence through world-class deployment and support. From design to deployment, ASUS is the trusted partner for next-generation AI Factory innovation. Availability & Pricing ASUS servers are available worldwide. Please visit for more ASUS infrastructure solutions or please contact your local ASUS representative for further information.
Channel Post MEA
21-05-2025
- Business
- Channel Post MEA
Dynatrace Integrates AI And LLM Observability Platform With NVIDIA Enterprise AI Factory
Dynatrace has announced that it is integrating its full-stack, AI and LLM Observability solution into the newly unveiled NVIDIA Enterprise AI Factory validated design. This enables enterprises using NVIDIA's validated design for NVIDIA RTX PRO servers and other NVIDIA Blackwell infrastructure to deploy their own on-premises AI factory with real-time observability and AI-driven insights delivered by the Dynatrace platform. Uniquely equipped with a powerful AI engine, Davis AI — which delivers real-time automated anomaly detection and root cause analysis alongside recommended remediation actions powered by Davis CoPilot — the Dynatrace platform is an ideal solution for monitoring and managing AI and agentic AI deployments. Enterprises deploying the NVIDIA Enterprise AI Factory validated design will be able to leverage Dynatrace's AI-powered observability platform to a utomatically detect customer-facing issues using topology, transaction, and code-level information to precisely pinpoint the root cause of problems at speed, helping IT teams maintain performance, reliability, and security across AI workflows. The NVIDIA Enterprise AI Factory full-stack validated design offers guidance for enterprises to build and deploy their own on-premises AI factory. It's designed to support a wide range of AI-enabled enterprise applications, agentic and physical AI workflows, autonomous decision-making, and real-time data analysis. It features expertly designed NVIDIA Blackwell accelerated infrastructure tailored to enterprise needs, integrating specialized AI software to ensure seamless operation and robust performance. And it's validated by NVIDIA IT, tapping into their engineering know-how and partner ecosystem to help enterprises achieve time-to-value and mitigate the risks of AI deployment. This integration addresses increasing demand for on-premises AI infrastructure in regulated sectors such as healthcare, finance, and government, and where system reliability and compliance are paramount. By incorporating Dynatrace into NVIDIA Enterprise AI Factory validated design, customers using NVIDIA Blackwell systems can benefit from real-time, AI-powered data insights for the seamless operationalization of AI workflows. 'Full-stack AI and LLM Observability is fundamental to running mission-critical infrastructure at scale,' said Alois Reitbauer, Chief Technology Strategist at Dynatrace. 'Our collaboration with NVIDIA enables us to bring advanced observability to the heart of enterprise agentic AI deployments so they're implemented optimally and securely, add business value and lend themselves to higher degrees of automation. Whether organizations are training cutting-edge models, orchestrating physical AI systems, developing agentic AI capabilities or analyzing real-time data streams, Dynatrace allows them to respond faster, operate with confidence, and effectively understand and optimize their AI deployments.' 'As AI adoption accelerates, enterprises need to monitor a growing ecosystem of applications and deployments across their infrastructure,' said John Fanelli, vice president, Enterprise Software at NVIDIA. 'Dynatrace's integration with the NVIDIA Enterprise AI Factory reference design offers advanced observability that lets businesses operate NVIDIA Blackwell-based AI systems with performance transparency and operational intelligence from day one.' 0 0
Yahoo
21-05-2025
- Business
- Yahoo
CrowdStrike Strengthens AI Security with NVIDIA Enterprise AI Factory Integration
On May 19, CrowdStrike Holdings, Inc. (NASDAQ:CRWD) announced its integration into the NVIDIA Enterprise AI Factory validated design, enabling enterprises to protect AI infrastructure, systems, and models as they scale AI adoption. A financial planner carefully scrutinizing company's investment portfolio. With NVIDIA Blackwell infrastructure, this validated design provides a full-stack AI ecosystem—covering data ingestion, model training, deployment, and runtime use—to help businesses harness AI efficiently. However, AI expansion also introduces risks such as data poisoning, model tampering, and exposure to sensitive data. To combat these threats, CrowdStrike Falcon secures AI with AI, using a continuous feedback loop powered by trillions of daily security events processed by its platform. With insights from elite threat hunters and intelligence analysts, CrowdStrike delivers machine-speed detection and response against both known and emerging threats. Innovations such as Falcon Cloud Security AI-SPM, AI Model Scanning, and Shadow AI detection help businesses identify and mitigate AI-related risks before they escalate. Combined with CrowdStrike AI Red Team Services and Falcon Adversary OverWatch, the integration provides end-to-end security for AI-driven enterprise operations within the NVIDIA AI Factory. As a global cybersecurity leader, CrowdStrike continues to redefine modern security with its cloud-native Falcon platform, securing endpoints, cloud workloads, identity, and data with real-time threat intelligence, automated protection, and elite threat hunting. The platform's lightweight architecture ensures rapid deployment, superior protection, and reduced complexity, reinforcing AI security in today's digital landscape. While we acknowledge the potential of CrowdStrike Holdings, Inc. (NASDAQ:CRWD) as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than CRWD and that has 100x upside potential, check out our report about the cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. Sign in to access your portfolio
Techday NZ
21-05-2025
- Business
- Techday NZ
Red Hat & NVIDIA unveil hybrid cloud solution for AI agents
Red Hat has announced integration with the NVIDIA Enterprise AI Factory validated design, aiming to facilitate the deployment of agentic AI systems across hybrid cloud environments. The collaboration utilises NVIDIA RTX PRO Servers and NVIDIA Blackwell B200 systems, running on the Red Hat AI portfolio including Red Hat OpenShift AI, to support advanced generative and agentic AI workloads. Red Hat states that this move will provide enterprises with a flexible software foundation to deploy, operate and scale AI agents reliably. Chris Wright, Chief Technology Officer and Senior Vice President, Global Engineering at Red Hat emphasised the significance of this integration, saying: "AI agents represent the near-term future of enterprise AI, where fast-moving, independent models can speed through any number of tasks to free organizations for higher level innovation. Red Hat OpenShift AI is an ideal platform to run these workloads delivered by NVIDIA Enterprise AI Factory validated designs, offering the scale, flexibility and power necessary to deliver product-ready generative AI across the hybrid cloud." Red Hat's integration will enable NVIDIA Blackwell architecture support across Red Hat AI platforms, with a reference architecture for the NVIDIA Enterprise AI Factory developed on Red Hat OpenShift AI. This architecture has undergone full verification and performance-testing to address the growing demand for scaling AI agents. The company highlights OpenShift AI's capabilities for consistent deployment and management of AI agents, leveraging vLLM-based inference, as well as enhanced observability and monitoring features. The reference architecture makes use of NVIDIA NIM microservices accessible through the application catalogue, permitting organisations to assemble a fully validated AI software stack. This design allows operation of on-premises AI factories equipped with NVIDIA RTX PRO Servers and NVIDIA Blackwell B200 systems. Justin Boitano, Vice President, Enterprise AI at NVIDIA said: "NVIDIA and Red Hat are pioneering the future of enterprise AI by integrating Red Hat OpenShift AI with the NVIDIA Enterprise AI Factory validated design. Together, we're creating a more seamless, full-stack platform that IT can use as the foundation for transforming business data into actionable agentic AI intelligence." Red Hat stresses that its enterprise AI approach combines open source technologies, the adaptability of a hybrid cloud model, and partnership with multiple stakeholders across the AI development ecosystem. The company collaborates with hardware providers and system integrators, aiming to support customers with comprehensive AI solutions that match specific business requirements. This broader ecosystem-centric position, Red Hat notes, enables wider adoption of tools like the NVIDIA Enterprise AI Factory validated design, and is intended to meet customers' needs at various stages of the AI development lifecycle, both in the cloud and on-premises infrastructures. Follow us on: Share on:
