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Nissan to move high-performance computing workloads to Oracle Cloud


Oracle on Tuesday announced that Nissan is migrating on-premise,high-performance computing (HPC) workloads to Oracle Cloud, in order to perform latency-sensitive engineering simulations. Back in 2018, Oracle introduced bare metal compute instances, powered by Intel Xeon processors, tailored for HPC workloads. The instances are part of Oracle's "Clustered Network" offering, which provides access to a low-latency, high-bandwidth remote direct memory access (RDMA) network. Nissan is one of the first automotive OEMs to leverage Oracle's bare-metal GPU-accelerated hardware for HPC workloads. Bing Xu, the GM of Nissan's Engineering Systems Department, said the company selected Oracle's cloud HPC offerings "to meet the challenges of increased simulation demand under constant cost savings pressure."

Cloud will account for 92 percent of datacenter traffic by 2020


Businesses are migrating to cloud architectures at a rapid clip and by 2020, cloud traffic will take up 92 percent of total data center traffic globally, according to Cisco's Global Cloud Index report. The networking giant predicts that cloud traffic will rise 3.7-fold up from 3.9 zettabytes (ZB) per year in 2015 to 14.1ZB per year by 2020. "The IT industry has taken cloud computing from an emerging technology to an essential scalable and flexible networking solution. With large global cloud deployments, operators are optimizing their data center strategies to meet the growing needs of businesses and consumers," said Doug Webster, VP of service provider marketing for Cisco, in a press release. "We anticipate all types of data center operators continuing to invest in cloud-based innovations that streamline infrastructures and help them more profitably deliver web-based services to a wide range of end users."

Google Cloud makes it cheaper to run smaller workloads on Bigtable – TechCrunch


Cloud Bigtable has long been Google Cloud's fully managed NoSQL database for massive, petabyte-sized analytical and operational workloads. At $0.65 per hour and node, it was never a cheap service to run, especially because Google Cloud enforced a minimum of three nodes per cluster for production workloads. Today, however, it is changing that, and you can now run Bigtable production workloads on just a single node. "We want Bigtable to be an excellent home for all of your key-value and wide-column use-cases, both large and small," Google Cloud Bigtable product manager Sandy Ghai said in today's announcement. "That's true whether you're a developer just getting started, or an established enterprise looking for a landing place for your self-managed HBase or Cassandra clusters."

Tackling multicloud deployments with intelligent cloud management


Insurance company Generali is decommissioning its datacentres. It is moving to the cloud and will use Amazon Web Services (AWS) and Microsoft Azure partners to host its non-core IT systems. Generali aims to develop and maintain the software that differentiates the business itself. These applications will be hosted on Azure. Like many organisations, Generali is adopting a multicloud strategy for its IT infrastructure. But this approach requires IT decision-makers to have the right information in place to understand where best to run a given workload.

Google acquires CloudSimple to bolster cloud workload migration


In a bid to bolster its cloud workload migration tools, Google today announced that it's acquired CloudSimple, a provider of dedicated environments to run VMware workloads in the cloud. It uncoincidentally comes months after the Mountain View company teamed up with CloudSimple to extend Google Cloud Platform customers a fully integrated migration solution. Google says that the CloudSimple team will join Google Cloud, and that the tight integration of its tools will allow customers to migrate on-premises workloads directly into Google Cloud while creating new workloads as needed. Apps run exactly the same as they do on-premises, but with the benefits of the cloud, like performance and elasticity. "I'm incredibly proud of the sharp, experienced and dedicated team at CloudSimple for building this service," wrote CloudSimple CEO Guru Pangal.