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)

Diamanti Reveals Hyperconverged Scale-out Appliances for Containers

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

Diamanti (pre-launch known as Datawise.io) has recently rolled out their brand new hyperconverged “container” appliances. Why would containers, supposedly able to be fluidly hosted just about anywhere, need a specially built host? Kubernetes et.al. might take care of CPU allotment, but there are still big obstacles for naked containers in a production data center, especially as containers are now being lined up to host far more than simple stateless micro-services.  Now their real-world storage and networking needs have to be matched, aligned, and managed or the whole efficiency opportunity can be easily lost.

…(read the full post)

Big Data Enterprise Maturity

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

It’s time to look at big data again. Last week I was at Cloudera’s growing and vibrant annual analyst event to hear the latest from the folks who know what’s what. Then this week Strata (conference for data scientists) brings lots of public big data vendor announcements. A noticeable shift this year is less focus on how to apply big data and more about maturing enterprise features intended to ease wider data center level adoption. A good example is the “mixed big data workload QoS” cluster optimizating solution from Pepperdata.

…(read the full post)

Google Drives a Stake Into The Human Heart? – AlphaGo Beats Human Go Champion

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

Google’s AlphaGo program has just whipped a top human Go playing champion (Lee Sedol – a 9 Dan ranked pro and winner of many top titles) four games to one in a million dollar match. You might shrug if you are not familiar with the subtleties of playing Go at a champion level, but believe me that this is a significant milestone in Machine Learning. Software has long proven to be able to master games whose moves can be calculated out to the end game with enough computing power (like checkers and chess), but Go is (as of yet) not fully computable due to its board size (19×19) and seemingly “intuitive” beginning and even mid-game move options.

…(read the full post)

Accelerating Cloud Transformation with Microsoft StorSimple’s New Virtual Appliance

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

We’ve always admired StorSimple from before Microsoft acquired them. And what was Microsoft up to, getting into the storage infrastructure space?  Well, if it wasn’t apparent before it is now – Microsoft StorSimple is a great on-ramp to the cloud (Azure naturally), especially if formal executive sponsored cloud transformation initiatives just aren’t in the cards for the rank and file IT organization. And this week Microsoft just announced a virtual StorSimple appliance option that can help accelerate cloud transformations even faster.

…(read the full post)

Kudu Might Be Invasive: Cloudera Breaks Out Of HDFS

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

For the IT crowd just now getting to used to the idea of big data’s HDFS (Hadoop’s Distributed File System) and it’s peculiarities, there is another alternative open source big data file system coming from Cloudera called Kudu. Like HDFS, Kudu is designed to be hosted across a scale-out cluster of commodity systems, but specifically intended to support more low-latency analytics.

…(read the full post)

Filling In With Flash – Tintri Offers Smaller All Flash For Hungry VMs

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

In 2015 we finally saw VVOLs start to roll out, yet VVOL support varies widely and so far hasn’t been as impressive as we’d have thought. Perhaps VMware’s own Virtual SAN stole some of their own show, but more likely spotty VVOL enhancements just haven’t leveled the playing field with enterprise grade VM aware storage like that from Tintri. And in fact Tintri is still running away with the ball having rolled out fast all-flash solutions earlier this year (at 72 and 36TB effective capacity).

…(read the full post)

Time To Use The Force, IT! – OpsDataStore Unifies Systems Management Data

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

We are only a bit excited by the impending Star Wars release. How old were we when the first one came out? I’m not saying. We are all very excited here to see this new continuation – of the story, the characters, and the universe of the force. Especially compared to our day-to-day IT management reality which often seems stuck in the 70’s. Systems management has been around even longer than the Star Wars franchise, but it seems to have stagnated along the way. Where is the rebellion? The good Jedi warriors to save us all from the Dark side?

…(read the full post)

Visualizing (and Optimizing) Cluster Performance

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

Clusters are the scale-out way to go in today’s data center. Why not try to architect an infrastructure that can grow linearly in capacity and/or performance? Well, one problem is that operations can get quite complex especially when you start mixing workloads and tenants on the same cluster. In vanilla big data solutions everyone can compete, and not always fairly, for the same resources. This is a growing problem in production environments where big data apps are starting to underpin key business-impacting processes.

…(read the full post)