The data center is a series of networks. There are networks that connect servers to users and networks that connect storage to servers. Even within servers and storage there are networks to connect CPU to IO devices like flash drives…
Blog Archives
New eBook: Taking The Load off Networks with Computational Storage
Tagged with: AI, Big data, Computational Storage, DRAM, Encryption, Flash, Hyperscale, IoT, ML, NGD Systems, NVMe, NVMe-oF, PCIe, SSD
Posted in Blog
Posted in Blog
The State of Fibre Channel
Potentially the only technology pronounced dead more often than Fibre Channel is tape, yet both are alive and well. In 2018, the Fibre Channel (FC) market saw a return to growth. According to Dell’Oro Group, FC SAN port shipments were…
Has NVMe Really Reached Price Parity with SAS?
Several NVMe flash vendors are claiming that NVMe Flash has reached price parity with Serial Attached SCSI (SAS) based flash. The claim is true or pretty close to true in most situations. Vendors are selling their NVMe flash drives for…
DriveScale Composable Infrastructure: Elastic and Efficient Resources for Modern Workloads
Modern workloads such as Hadoop, Kafka and machine learning are demanding in terms of the volume of data that must be processed, the speed at which that data much be processed, and the fact that their capacity and performance requirements…
Tagged with: Big data, Cloud, Composable Storage, DAS, DriveScale, Hyperscale, JBOD, JBOF, Machine Learning, NAS, NVMe, NVMe-oF, SAN
Posted in Blog
Posted in Blog
Meet the President of the Fibre Channel Industry Association: Mark Jones
Against the backdrop of Moore’s Law and ultra-low latency non-volatile memory express (NVMe) solid state drives, network speed and total capacity are increasingly the levers that make or break an application’s performance. Fibre Channel (FC) storage networking may be frequently…
Tagged with: Analytics, Artificial Intelligence, Cloud, FCIA, Fibre Channel, Latency, MeetTheCEO, NVMe, NVMe-oF, SSD
Posted in Webinar
Posted in Webinar
Why Workload Modeling and Monitoring for NVMe-oF?
When migrating to new technology, it is always important to conduct a careful cost/benefit analysis, to understand what the return on the new investment will be. It is also necessary to be sure that the investment will provide desired outcomes…
Solving the New Storage Performance Problem
NVMe (Non-Volatile Memory Express) flash drives thrust storage media from the position of the worst performing component of the data center to the best. The technology’s low latency however, exposes other bottlenecks that went previously undetected. The new storage performance…
Tagged with: AI, Big data, Computational Storage, DRAM, Encryption, Flash, Hyperscale, IoT, ML, NGD Systems, NVMe, NVMe-oF, PCIe, SSD
Posted in Blog
Posted in Blog
Is NVMe Enough for Efficient Hyperscale Data Centers?
Hyperscale architectures typically sacrifice resource efficiency for performance by using direct attached storage instead of a shared storage solution. That lost efficiency though, means the organization is spending money on excess compute, graphics processing units (GPUs) and storage capacity that…
Tagged with: Big data, Cloud, Composable Storage, DAS, DriveScale, Hyperscale, Machine Learning, NAS, NVMe, NVMe-oF, SAN
Posted in Blog
Posted in Blog
Infinidat Introduces Elastic Data Fabric
More Efficient NVMe-oF at Enterprise Scale For large enterprises, data stores continue to grow into the petabytes (PB), and increasingly need to operate across on-premises infrastructure and cloud services in order to balance cost, control and performance needs. Meanwhile, the…
The Problems with Hyperscale Storage
Direct attached storage (DAS) is the default storage “infrastructure” for data intensive workloads like Elastic, Hadoop, Kafka and TensorFlow. The problem, as we detailed in the last blog, is using DAS creates a brittle, siloed environment. Compute nodes can’t be…
Tagged with: Big data, Cloud, DAS, DriveScale, Machine Learning, NAS, NVMe, NVMe-oF, SAN
Posted in Blog
Posted in Blog
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