AI

ZeroStack Delivers AI-as-a-Service

ZeroStack, creators of a self-driving cloud that lets users focus on their businesses, today announced that administrators of its Self-Driving Cloud platform can provide single-click deployment of GPU resources and deep learning frameworks like TensorFlow, PyTorch, and MXNet, taking care of all the OS and CUDA library dependencies so users can focus on AI development. Furthermore, users can enable GPU acceleration with dedicated access to multiple GPU resources for an order-of-magnitude faster inference latency and user responsiveness. GPUs within hosts can be shared across users in a multi-tenant manner.

Artificial Intelligence and Machine Learning products and solutions are quickly becoming commonplace and are shaping our experiences in computing like no other time in history, and AI applications and solutions are now more viable than ever with the availability of modern machine learning and deep learning frameworks such as TensorFlow, Caffe, etc., along with access to GPUs that are built specifically to perform parallel operations on large amounts of data. However, one significant challenge remains: deploying, configuring, and executing these complex tools and managing their interdependencies and versioning and compatibility with servers and GPUs.

E8 Storage Partners with Clustar Technology, Expanding into APAC

E8 Storage has officially launched into the APAC region by partnering with AI cloud service provider, Clustar Technology. E8 Storage continues to grow its global partner base and expand its international presence in high performance computing with its shared NVMe storage platform for customers who need high performance and low latency for data intensive applications.

Zivan Ori, co-founder and CEO of E8 Storage elaborated, "Clustar Technology is delivering an innovative and successful service in the industry with its AI cloud platform, and the partnership with E8 Storage cements our continued international expansion. By working with Clustar Technology, we are enabled to offer a unique proposition by delivering industry leading performance for organizations that are on their AI journey."

Cylance Introduces AI-Powered Cloud Security Solution for AWS

Cylance Inc., a leading provider of AI-driven, prevention-first security solutions, today announced support for Amazon Web Services (AWS) with CylancePROTECT for the cloud.

Cylance develops innovative artificial intelligence capabilities to detect and prevent malware from executing. The company's award-winning CylancePROTECT solution now supports AWS Linux to protect application instances running on cloud services infrastructure from cyber threats, and its proven AI techniques further extend to the Cylance AI-powered endpoint detection and response (EDR) solution CylanceOPTICS to provide insight and threat hunting capabilities against those threats.

"We are excited to make our AI-driven, prevention-first security solutions available to cloud computing environments," said Stuart McClure, founder and chief executive at Cylance. "By approaching security with sophisticated machine learning techniques and offering scalable threat detection, response, root cause analysis, and threat hunting, Cylance helps prevent data breaches that impact the security of an organization's data in the cloud."

Site24x7 Introduces AI-Driven Microsoft Azure Monitoring and Microsoft Teams Chatbot Integration

Site24x7, the cloud-based performance monitoring solution for DevOps and IT operations, today announced the introduction of its AI-powered Microsoft Azure monitoring as well as its chatbot integration with Microsoft Teams. Site24x7 Azure monitoring enables IT teams to manage over 100 Azure products using the Azure Monitor REST API in near real time, thus making it valuable for IT teams to gain actionable alerts, reduce resolution time, and gain visibility into their hybrid clouds. With the introduction of the Site24x7 chatbot for Microsoft Teams, DevOps and application owners will be able to get the health status of critical applications in their familiar workplace chat room.

Many organizations are adopting a hybrid cloud environment, creating the need to monitor a growing mix of both on-premises and multiple cloud infrastructures. The global hybrid cloud market overall is expected to grow from $44.60 billion in 2018 to $97.64 billion by 2023, according to B2B research company MarketsandMarkets.

Addressing this growing challenge, Site24x7 brings together existing capabilities for monitoring user experience, infrastructure monitoring, and application performance management into one unified solution that can deliver full stack monitoring in a hybrid environment, thus giving DevOps and IT teams a holistic view into their IT infrastructure. Additionally, Microsoft Teams chatbot integration helps to enhance productivity in organizations grappling with hybrid environmental challenges.

C3 and Amazon Web Services Expand Collaboration to Drive Enterprise Artificial Intelligence Adoption

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C3 and Amazon Web Services (AWS) announced an expanded collaboration focused on accelerating customers' time to value with complex and strategic artificial intelligence (AI) applications across the enterprise.

Fueled by the successful adoption of the C3 Platform on AWS at more than 30 commercial and public sector organizations, C3 and AWS are increasing their investment in existing customer deployments, joint sales and go-to-market initiatives, a global event series, continuous technology integrations, and training on the joint solution for more than 5,000 sales and delivery professionals.

"Two years ago we embarked on an ambitious digital transformation effort to establish Engie as a leading force in the global energy transition. C3 and AWS provide a proven platform that helped us rapidly address our most strategic AI, big data, and IoT business initiatives, and we are very pleased with our results thus far," said Yves Le Gélard, Group CIO and Chief Digital Officer, Engie.

RiskSense Cloud Service Protects Against Cyber Threats and Vulnerabilities Ahead of Midterm Elections

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RiskSense, Inc., pioneering risk-based vulnerability prioritization and management, today announced its AI-Assisted Pen Testing Service called Attack Surface Validation for Election Systems which provides complete visibility and prioritization of security vulnerabilities that enables any district to remediate problems before the midterms. Immediate findings are delivered through the RiskSense cloud-service and cover the assessment of a district's entire voting ecosystem, including devices, applications, databases, networks, etc., for vulnerabilities, missing patches, misconfigurations, and more. RiskSense allows resource and security expert-constrained districts to know what to urgently fix, and receive validation that remediation actions were successful.

"I am not a security expert, but I knew it was important to assess the security of the technology and processes used in my district," said the New Mexico Secretary of State. "The priorities and prescriptive actions provided to our IT staff by RiskSense allowed us to prepare and remediate quickly as findings came to light with the specialized attack scenarios. We have the results to share amongst our constituents that our district will not be idle nor let our community be vulnerable to tampering."

DDN Simplifies the AI Data Center with NVIDIA

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DataDirect Networks (DDN) today announced it is teaming with NVIDIA to transform data centers with storage and compute solutions that are fully integrated and optimized for AI and deep learning (DL) workloads. Backed by deep AI expertise in both storage and computing, the DDN A³I platform with NVIDIA DGX-1 AI supercomputers delivers a validated, pre-configured solution that enables high performance at scale, thus making it faster and easier for every enterprise to gain data-fueled insights through the power of AI and deep learning.

"Artificial intelligence and deep learning applications are creating some of the most challenging workloads in modern computing history, and are straining traditional compute, storage and network resources," said Paul Bloch, president and co-founder, DDN. "DDN A³I with NVIDIA DGX-1 is an integrated solution that provides unlimited three-dimensional scaling and improved performance as clusters grow, accelerating the end-to-end AI and DL workflow. DDN A³I with DGX-1 is driving faster iteration and, most importantly, speeding business innovation."

DDN A³I with NVIDIA DGX-1 provides a turnkey solution that delivers a true end-to-end parallel architecture providing the highest throughput, lowest latency and maximum concurrency in data delivery to applications. Easy to deploy, manage, scale and support, the joint solution, available through AI-specialized resellers, delivers immediate workflow enablement and full saturation of GPU resources, all backed by one of the world's strongest pools of deep AI expertise.

BlueData Announces General Availability on Google Cloud Platform and Microsoft Azure

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BlueData, provider of the leading container-based software platform for AI and Big Data workloads, today announced the general availability (GA) of its BlueData EPIC software on Google Cloud Platform and Microsoft Azure. This makes BlueData the only unified solution for Big-Data-as-a-Service and AI-as-a-Service with the flexibility to support all three major public cloud services as well as on-premises and hybrid cloud deployments.

Public cloud services continue to be an increasingly popular option for many workloads in the enterprise - including applications for distributed analytics, data science, machine learning, and deep learning. But most enterprises today want the ability to deploy these applications quickly and easily regardless of the infrastructure, either on- or off-premises. They want self-service, elastic, automated, and secure environments for machine learning and analytics - whether the underlying compute and data storage is hosted in one public cloud or another, in their own data centers, or in a hybrid architecture.

Leveraging the inherent infrastructure portability of Docker containers, BlueData is committed to supporting these multi-cloud and hybrid cloud options for Big Data and AI deployments. Last fall, BlueData introduced the initial directed availability of BlueData EPIC on Google Cloud Platform (GCP) and Microsoft Azure - adding to its existing GA support for Amazon Web Services (AWS). And over this past year, BlueData has introduced additional new capabilities for AI, machine learning, and deep learning applications in multi-cloud and hybrid models.

 

C3 IoT and Google Cloud Announce Partnership

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C3 IoT today announced a strategic partnership with Google Cloud to accelerate AI and IoT application development for enterprise digital transformation.

With this partnership, C3 IoT and Google Cloud have developed an integrated solution that seamlessly delivers the C3 IoT Platform - a comprehensive platform as a service (PaaS) for rapidly developing and operating big data, predictive analytics, AI, and IoT software applications - on Google Cloud Platform, leveraging its cutting-edge infrastructure and AI services. Additionally, the companies will execute co-marketing, co-selling, and co-training initiatives to rapidly scale distribution globally and accelerate customer success.

HiveIO Launches Hive Fabric 7.0, Bringing Next-Gen Intelligence to the Data Center

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HiveIO, a company that transforms commodity data center equipment into a software-defined virtualization solution, today announced version 7.0 of Hive Fabric, the industry's first zero-layer, hardware- and vendor-agnostic solution that provides high-performing, scalable technology to remove complexity from the data center. The artificial intelligence (AI) ready hyperconverged fabric (HCF) solution delivers next-generation data center management technology in a simple-to-deploy and easy-to-operate platform.

Current IT architecture requires highly skilled specialists with a range of certifications to manage the data center. Offering all the components of a hyperconverged solution, Hive Fabric 7.0 satisfies the performance, scale, and security that enterprises demand while eliminating confusing licensing and multi-vendor integration and management that come with traditional hyperconverged infrastructure.