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Quality at the Edge: Video as a Sensor

IDC predicts that data generation and volume will triple in 5 years—and a lot of this data will reside in videos. In many edge use cases, video is replacing sensors, as it’s often more consistent and can document in real time. The downside: video generates a lot of data, which is then pushed up to the cloud, over to on-premises infrastructure, or out to the edge—creating its own set of challenges. Join experts from IDC, CBT, and HPE as they explore these issues and lay out best practices for solving these challenges.

Tech Spotlight: Edge Computing

Like other hot new areas of enterprise tech, edge computing is a broad architectural concept rather than a specific set of solutions. Primarily, edge computing is applied to low-latency situations where compute power must be close to the action, whether that activity is industrial IoT robots flinging widgets or sensors continuously taking the temperature of vaccines in production.

HPE Virtual Desktop Infrastructure Solutions

Today, exceptional circumstances have threatened businesses in every industry, interrupting critical daily business requirements. Customers are looking to rapidly unleash mobile productivity using VDI. HPE is committed to prioritizing the delivery of the world’s most secure platform to meet these critical demands.

Accelerating AI Adoption For The Modern Data-Driven Enterprise

Intelligence is undeniably the most valuable currency in the global economy. As analytics become the driving force for business innovation, the adoption of artificial intelligence (AI) is escalating rapidly to pinpoint key patterns and insights and make predictions on endless streams of data. However, enterprises are struggling to harness the groundbreaking capabilities of AI, which leaves them searching for answers—how to get started, how to optimize their environments to handle demanding AI workloads, how to speed up production, and how to derive valuable insights and outcomes.

Accelerating AI Adoption For The Modern Data-Driven Enterprise

Intelligence is undeniably the most valuable currency in the global economy. As analytics become the driving force for business innovation, the adoption of artificial intelligence (AI) is escalating rapidly to pinpoint key patterns and insights and make predictions on endless streams of data. However, enterprises are struggling to harness the groundbreaking capabilities of AI, which leaves them searching for answers—how to get started, how to optimize their environments to handle demanding AI workloads, how to speed up production, and how to derive valuable insights and outcomes.

Animation Virtual Workstation on HPE ProLiant DL380 Gen10 and NVIDIA RTX Server

HPE ProLiant DL380 and Teradici for Autodesk Maya 2020 with Arnold Render 6 using RTX offload engine

Gorilla Guide: Taking the Enterprise AI Journey

Getting more value from your data means adopting advanced technologies like artificial intelligence and machine learning. But the very thought of deployment, implementation, and management of these things can be daunting. That’s where HPE comes in. They can help you with the scary stuff.

HPE Reference Architecture for Virtual Workstations on HPE ProLiant DL380 Gen10 Servers

Demonstrating the performance of virtualized GPUs for graphics- intensive use cases.

Key Considerations for Enabling Remote Work and Recovery Plans with VDI

Businesses had aggressive virtual desktop infrastructure (VDI) expansion plans prior to COVID-19 that aligned with IT’s overall priority to deliver a secure and consistent user experience. The response to remote work has highlighted the benefits of VDI and created a new surge for companies to rethink their digital workspace strategies.

Development of a highly autonomous driving infrastructure

Highly Autonomous Driving (HAD) and the semi-autonomous features in advanced driver assistance systems (ADAS) demand a compute and sensing platform at both the core and the network edge.

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