Hyperconverged Supercomputers For the Enterprise Data Center

(Excerpt from original post on the Taneja Group News Blog)

Last month NVIDIA, our favorite GPU vendor, dived into the converged appliance space. In fact we might call their new NVIDIA DGX-1 a hyperconverged supercomputer in a 4U box. Designed to support the application of GPU’s to Deep Learning (i.e. compute intensive deeply layered neural networks that need to train and run in operational timeframes over big data), this beast has 8 new Tesla P100 GPUs inside on an embedded NVLink mesh, pre-integrated with flash SSDs, decent memory, and an optimized container-hosting deep learning software stack. The best part? The price is surprisingly affordable, and can replace the 250+ server cluster you might otherwise need for effective Deep Learning.

…(read the full post)

Server Powered Storage: Intelligent Storage Arrays Gain Server Superpowers

An IT industry analyst article published by Infostor.


At Taneja Group we are seeing a major trend within IT to leverage server and server-side resources to the maximum extent possible. Servers themselves have become commodities, and dense memory, server-side flash, even compute power continue to become increasingly powerful and cost-friendly. Many datacenters already have a glut of CPU that will only increase with newer generations of faster, larger-cored chips, denser packaging and decreasing power requirements. Disparate solutions from in-memory databases (e.g. SAP HANA) to VMware’s NSX are taking advantage of this rich excess by separating out and moving functionality that used to reside in external devices (i.e. SANs and switches) up onto the server.

Within storage we see two hot trends – hyperconvergence and software defined – getting most of the attention lately. But when we peel back the hype, we find that both are really enabled by this vastly increasing server power – in particular server resources like CPU, memory and flash are getting denser, cheaper and more powerful to the point where they are capable of hosting sophisticated storage processing capabilities directly. Where traditional arrays built on fully centralized, fully shared hardware might struggle with advanced storage functions at scale, server-side storage tends to scale functionality naturally with co-hosted application workloads. The move towards “server-siding” everything is so talked about that it seems inevitable that traditional physical array architectures are doomed.

…(read the complete as-published article there)

Get the most from cloud-based storage services

An IT industry analyst article published by SearchStorage.


We have been hearing about the inevitable transition to the cloud for IT infrastructure since before the turn of the century. But, year after year, storage shops quickly become focused on only that year’s prioritized initiatives, which tend to be mostly about keeping the lights on and costs low. A true vision-led shift to cloud-based storage services requires explicit executive sponsorship from the business side of an organization. But unless you cynically count the creeping use of shadow IT as an actual strategic directive to do better as an internal service provider, what gets asked of you is likely — and unfortunately — to perform only low-risk tactical deployments or incremental upgrades.

Not exactly the stuff of business transformations.

Cloud adoption at a level for maximum business impact requires big executive commitment. That amount of commitment is, quite frankly, not easy to generate.

…(read the complete as-published article there)