
Cerence reports Q2 EPS 46c, consensus 30c
Reports Q2 revenue $78.01M, consensus $75.34M. 'I'm incredibly proud of what our team has accomplished. We surpassed the high end of our revenue and adjusted EBITDA guidance and posted our fourth consecutive quarter of positive free cash flow, demonstrating the high value we provide to the world's leading automakers as they work through the ongoing macro uncertainties and complexities facing the industry today,' said Brian Krzanich, CEO, Cerence (CRNC) AI. 'As we look to the future and based on currently available information, we believe we are well-positioned to continue supporting our customers as they work to bring an enhanced experience to their drivers. With Cerence xUI, we are partnering with OEMs as they contemplate and build their future infotainment platforms, as well as delivering enhanced user experiences via over-the-air updates as automakers upgrade their current systems to deliver next-gen features and capabilities to their drivers today.'
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Business Wire
35 minutes ago
- Business Wire
Spectro Cloud Integrates Palette with NVIDIA DOCA and NVIDIA AI Enterprise, Empowering Seamless AI Deployment Across Telco, Enterprise, and Edge
SAN JOSE, Calif.--(BUSINESS WIRE)--Spectro Cloud, a leading provider of Kubernetes management solutions, today announced the integration of NVIDIA DOCA Platform Framework (DPF), part of NVIDIA's latest DOCA 3.0 and NVIDIA AI Enterprise software, into its Palette platform. Building on its proven track record as a trusted partner for major organizations deploying Kubernetes in the cloud, at the data center, and at the edge, Spectro Cloud continues to expand its leadership in enabling production-ready infrastructure for AI and modern applications. This integration empowers organizations to efficiently deploy and manage NVIDIA BlueField-3 DPUs alongside AI workloads across diverse environments, including telco, enterprise, and edge. Spectro Cloud is excited to meet, discuss, and demonstrate this integration at GTC Paris, June 11-12. With the integration of DPF, Palette users gain access to a suite of advanced features designed to optimize data center operations: Comprehensive provisioning and lifecycle management: Palette streamlines the deployment and management of NVIDIA BlueField-accelerated infrastructure, ensuring seamless operations across various environments. Enhanced security service deployment: With the integration of NVIDIA DOCA Argus, customers can elevate cybersecurity capabilities, providing real-time threat detection for AI workloads. DOCA Argus operates autonomously on NVIDIA BlueField, enabling runtime threat detection, agentless operation, and seamless integration into existing enterprise security platforms. Support for Advanced DOCA Networking Features: Palette now supports deployment of DOCA FLOW features, including ACL pipe, LPM pipe, CT pipe, ordered list pipe, external send queue (SQ), and pipe resize, enabling more granular control over data traffic and improved network efficiency. NVIDIA AI Enterprise-ready deployments with Palette Palette now supports NVIDIA AI Enterprise-ready deployments, streamlining how organizations operationalize AI across their infrastructure stack. With deep integration of NVIDIA AI Enterprise software components, Palette provides a turnkey experience to provision, manage, and scale AI workloads, including: NVIDIA GPU Operator Automates the provisioning, health monitoring, and lifecycle management of GPU resources in Kubernetes environments, reducing the operational burden of running GPU-intensive AI/ML workloads. NVIDIA Network Operator Delivers accelerated network performance using DOCA infrastructure. It enables low-latency, high-throughput communication critical for distributed AI inference and training workloads. NVIDIA NIM Microservices Palette simplifies the deployment of NVIDIA NIM microservices, a new class of optimized, containerized inference APIs that allow organizations to instantly serve popular foundation models, including LLMs, vision models, and ASR pipelines. With Palette, users can launch NIM endpoints on GPU-accelerated infrastructure with policy-based governance, lifecycle management, and integration into CI/CD pipelines — enabling rapid experimentation and production scaling of AI applications. NVIDIA NeMo With Palette's industry-leading declarative management, platform teams can easily define reusable cluster configurations that includes everything from NVIDIA NeMo microservices to build, customize, evaluate and guardrail LLMs; to GPU drivers and NVIDIA CUDA libraries; to the NVIDIA Dynamo Inference framework; plus PyTorch/TensorFlow, and Helm chart deployments. This approach enables a scalable, repeatable, and operationally efficient foundation for AI workloads. By integrating these components, Palette empowers teams to rapidly build, test, and deploy AI services, while maintaining enterprise-grade control and visibility. This eliminates the traditional friction of managing disparate software stacks, GPU configurations, and AI model serving infrastructure. "Integrating NVIDIA DPF into our Palette platform marks a significant step forward in delivering scalable and efficient AI infrastructure solutions," said Saad Malik, CTO and co-founder, Spectro Cloud. "Our customers can now harness the full potential of NVIDIA BlueField's latest advancements to drive accelerated networking, infrastructure optimization, AI security, and innovation across telco, enterprise, and edge environments." 'Organizations are rapidly building AI factories and need intelligent, easy-to-use infrastructure solutions to power their transformation,' said Dror Goldenberg, senior vice president of Networking Software at NVIDIA. 'Building on the DOCA Platform Framework, the Palette platform enables enterprises and telcos to deploy and operate BlueField-accelerated AI infrastructure with greater speed and efficiency.' This strategic integration positions Palette as a comprehensive platform for organizations aiming to operationalize AI at scale, including: Telco solutions: High-performance, low-latency infrastructure tailored for telecommunications applications. Enterprise deployments: Scalable and secure AI infrastructure to support diverse enterprise workloads. Edge computing: Lightweight, GPU-accelerated solutions designed for resource-constrained edge environments. Palette is available today for deployment and proof of concept (POC) projects. For more information about Spectro Cloud's Palette platform, visit Learn more about our work with NVIDIA, including technical blogs, here. About Spectro Cloud Spectro Cloud delivers simplicity and control to organizations running Kubernetes at any scale. With its Palette platform, Spectro Cloud empowers businesses to deploy, manage, and scale Kubernetes clusters effortlessly — from edge to data center to cloud — while maintaining the freedom to build their perfect stack. Trusted by leading organizations worldwide, Spectro Cloud transforms Kubernetes complexity into elegant, scalable solutions, enabling customers to master their cloud-native journey with confidence. Spectro Cloud is a Gartner Cool Vendor, CRN Tech Innovator, and a 'leader' and 'outperformer' in GigaOm's 2025 Radars for Kubernetes for Edge Computing, and Managed Kubernetes. Co-founded in 2019 by CEO Tenry Fu, Vice President of Engineering Gautam Joshi and Chief Technology Officer Saad Malik, Spectro Cloud is backed by Alter Venture Partners, Boldstart Ventures, Firebolt Ventures, Growth Equity at Goldman Sachs Alternatives, NEC and Translink Orchestrating Future Fund, Qualcomm Ventures, Sierra Ventures, Stripes, T-Mobile Ventures, TSG and WestWave Capital. For more information, visit or follow @spectrocloudinc and @spectrocloudgov on X.
Yahoo
an hour ago
- Yahoo
SmartRecruiters Launches Agentic AI Hiring Platform
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Business Wire
an hour ago
- Business Wire
Eclypsium Secures AI Data Centers as AI Arms Race Escalates
PORTLAND, Ore.--(BUSINESS WIRE)-- Eclypsium, the infrastructure supply chain security company protecting critical hardware, firmware, and software infrastructure, today announced capabilities to secure AI data center infrastructure as part of its Supply Chain Security Platform version 4.0. The new capabilities provide continuous security and integrity monitoring of dedicated AI hardware components used across AI data centers—including NVIDIA ARM and x86-based servers, firmware, GPUs, and other foundational hardware for supporting compute, networking, memory, server management, and interconnectivity—in order to protect the fundamental layers of the GenAI stack. 'By performing checks of hardware, firmware, and components in AI data center infrastructure, and monitoring for attacks, configuration drift, and loss of integrity, Eclypsium radically improves the security posture of AI data centers." -Yuriy Bulygin Share AI data centers are now being treated as national critical infrastructure. Like the space race or the nuclear arms race before it, the international order of the world in the 21st century will hinge on the successful, and secure, deployment of enormous AI capacity for use in business, defense, and critical infrastructure industries. In 2025 alone, over a trillion dollars of investment in AI infrastructure has been pledged by global powers and transnational technology companies. Today's AI data centers have also become the foundation of decision-making AI infrastructure in industries like finance, healthcare, defense, and other data-intensive sectors. Securing this foundational layer of the AI stack is imperative for enterprises to protect GenAI models, applications, and data. Because the ability to detect vulnerabilities in AI infrastructure lags behind the pace of growth of GPU compute capacity, it is critical that organizations start implementing security controls from the outset. 'By performing checks of hardware, firmware, and components in AI data center infrastructure, and monitoring for attacks, configuration drift, and loss of integrity, Eclypsium radically improves the security posture of AI data centers for enterprises and neoclouds,' said Eclypsium CEO and co-founder, Yuriy Bulygin. 'These areas are growing at a massive pace and are becoming the foundation for the AI technology used by leading enterprises and governments. As awareness of the vulnerabilities and risks in the infrastructure of AI data centers rises, we expect to see increasing security investment to protect the foundation.' The Eclypsium Supply Chain Security Platform delivers security for AI data centers by continuously scanning hardware, firmware, and software components in GPU servers, verifying integrity, discovering counterfeit components, enabling vulnerability management, and detecting server and component level attacks. Eclypsium continuously baselines and checks the integrity of firmware across commonly attacked network and compute devices like GPU servers, GPUs, routers, switches, and load balancers. Eclypsium also detects both known and unknown vulnerabilities, as well as active compromise of these devices. Proactively identifying vulnerable systems and components, verifying their integrity, monitoring for active threats, and applying vendor patches, Eclypsium hardens the attack surface of AI infrastructure devices and their underlying components at every step of the supply chain. To learn more about protecting AI data centers with the Eclypsium Supply Chain Security Platform, visit us at Gartner Security and Risk Summit 2025 at booth #1263. Learn more about how Eclypsium helps organizations verify every component in the infrastructure supply chain by visiting or emailing sales@ to schedule a demo. ABOUT ECLYPSIUM Eclypsium's cloud-based and on-premises platform provides digital supply chain security for critical software, firmware and hardware in enterprise infrastructure. Eclypsium helps enterprises and government agencies mitigate risks to their infrastructure from complex technology supply chains. The Eclypsium platform is the only supply chain security solution for enterprise hardware and firmware listed on the CDM APL, recognized as an instrumental Asset Management and Network Security Management solution. For more information, visit