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Articles by Bhumik Patel
Arm propels cloud-to-car development in new Google Axion-based instances
AI is reshaping everything from recommendation engines to language models, but beneath the surface lies a pressing challenge: energy efficiency. As AI adoption scales, so does the power required to run it. The result is a growing strain on cloud infrastructure, especially in the converged AI data center, where traditional and AI workloads now run side by side. In this new paradigm, CPUs are more critical than ever.
Unpacking Axion: Google Cloud’s Custom Arm-based Processor Built for the AI age
Blog By Bhumik Patel, Director, Server Ecosystem Development, Arm Cloud computing demands are skyrocketing, especially in the AI-driven era, pushing developers to seek performance-optimized, energy-efficient solutions that lower total cost of ownership (TCO). We’re dedicated to meeting these evolving needs with Arm Neoverse, which is rapidly becoming the compute platform of choice for developers shaping the future of cloud infrastructure.
Arm Introduces New Developer Initiative to Expedite Migration to Arm-based Cloud Platforms
AI’s rapid transformation of computing infrastructure has magnified the importance of optimizing performance, efficiency, and total cost of ownership for all workloads. Our relentless focus to deliver on these needs is why Arm Neoverse quickly emerged as the platform of choice for technology leaders redefining the datacenter.
Accelerating Cloud Innovation with AWS Graviton4 Processors, Powered by Arm Neoverse
Blog By Bhumik Patel, Director, Server Ecosystem Development, Arm The cloud computing landscape is undergoing a dramatic transformation, driven by the explosive growth of AI. As AI applications become increasingly sophisticated and demanding, the need for powerful, efficient, and cost-effective computing solutions has never been greater. Customers deploying their workloads in the cloud are rethinking what infrastructure they need to meet the requirements of these modern workloads.
Cloud Efficiency and Performance: Arm Neoverse-powered Microsoft Azure Cobalt 100 VMs Now Available
Cloud users and developers are constantly seeking efficient and sustainable compute solutions that can scale for modern, cloud-native applications, including AI. Microsoft, a leader in this space, has been addressing these needs through system-to-software optimization across their Azure offerings. Today, we’re thrilled to see Microsoft announce the general availability of new Azure Virtual Machines (VMs) powered by the Arm Neoverse Compute Subsystems (CSS) N2-based Azure Cobalt 100 processor.
Building the Future of Cloud Software on Arm Neoverse-Powered Infrastructure
To provide developers with a single repository of open-source projects and ISVs that support Arm 64-bit architecture, we are excited to launch the Software Ecosystem Dashboard. This initial list contains over 150+ software entries across multiple software categories to provide guidance on software version supported and documentation to get started to natively build on Arm.
Building the Future of Cloud-Native Software on a Multi-Architecture Infrastructure
Over the past few years, cloud-native developers have been embracing multi-architecture infrastructures, which can run workloads on either Arm or x86 architectures. This allows workloads to run on the best hardware for the task without developers having to worry about the underlying instruction set. This shift to multi-architecture infrastructures is driven by a number of factors, including the need for greater efficiency, cost savings and sustainability in cloud computing.
Optimize Your NGINX Plus Deployment with Arm-Based Amazon EC2 M6g Instances
Amazon Web Services (AWS), performance comparison, Arm At NGINX Conf 2019, we showcased the cost savings you can achieve by deploying NGINX Plus on Amazon Elastic Cloud Computing (EC2) A1 instances powered by the AWS Graviton processor, which has 64‑bit Arm Neoverse cores and custom silicon designed by AWS. Recently, AWS introduced the Graviton2 processor and launched new M6g, C6g, and R6g EC2 instance types powered by it.
VMware Tech Alliance Partners (TAP) Blog
HPE & VMware have been driving innovation in the Hyper-converged space by providing customers with a broad set of certified vSAN Ready Nodes on HPE platforms. HPE currently has 80+ vSAN 6.7 Ready Nodes supporting multiple platforms as well as both hybrid and all-flash vSAN configurations allowing customers to have a starting point that’s closest to their infrastructure and application requirements.
Delivering Secure and Scalable Virtual Desktops with HPE and VMware
HPE & VMware have a number of joint customers running large scale virtual desktops and applications to enable wide range of digital workspace initiatives. Some of these initiatives include traditional use cases such as providing remote access to employees, enabling task users to access virtualized applications efficiently, providing developers access to multiple desktop profiles and so on.
Virtualized Persistent Memory with VMware vSphere 6.7 and HPE ProLiant Gen10 Servers
HPE and VMware have been delivering innovative solutions for our joint customers to further their virtualization and hybrid cloud journeys. Recently, we announced VMware Cloud Foundation support with HPE Synergy allowing customers to better build and operate their private cloud environments at scale.
Epidermolysis bullosa: recognition and management
After reading this learning article, you should be able to: Understand the causes of the (EB); Identify the symptoms of EB and know how the disease is diagnosed; Understand the management of EB, with particular focus on and pain management. Epidermolysis bullosa (EB) is a genetic skin condition[1–4]. It encompasses several disorders characterised by recurrent blister formation that result from structural fragility within the skin and other selected tissues[4].
VMware Horizon 7 with Cisco HyperFlex - VMware Tech Alliances (TAP) Blog
Over the last year, we have seen how Hyper-converged architectures are fueling VDI as a use case. The value proposition for deploying VDI with an HCI based architecture is compelling – ease of initial deployment, improved storage cost economics, simplified and integrated infrastructure management are a few to name.
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