The TidalScale Blog

Gary Smerdon

Gary Smerdon
Gary is an accomplished executive with a proven track record of being a difference maker -- identifying opportunities and driving the successful business execution. As the EVP & Chief Strategy Officer of Fusion-io, Gary led the development of the company strategy and drove the $1.3 billion dollar acquisition of Fusion-io by SanDisk. Gary was SVP and GM of the Accelerated Solutions Division at LSI, an internal startup he founded and led to over $100M in two years. Gary has been a visionary throughout his career having been directly involved with the first high-speed personal computer and conceived and executed on the breakthrough concept of networking as standard feature in PCs. Gary holds three patents and is a graduate of Duke University with a BSEE.
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Recent Posts

The Software-Defined Future, Brought to You by TidalScale

software-defined data center, in-memory computing, TidalScale WaveRunner, infrastructure, software-defined server

Last week at Silicon Valley’s storied Computer History Museum, some 200 people came together to see what’s next.

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The Software-Defined Future is Here

IEEE Computer, Gordon Bell, Memory, right-sizing, composable infrastructure, software-defined data center, software-defined server, TidalScale

In January, I argued that 2018 is shaping up to be the year of the Software-Defined Server. I pointed to a number of reasons why:

  • Data is growing rapidly, putting pressure on IT infrastructures that simply aren’t built to keep up.
  • To act on all that data quickly, businesses need to analyze it entirely in memory, which is 1,000 times faster than flash storage.
  • Today’s on-premise and cloud data centers typically aren’t equipped with servers that can provide a single instance of memory large enough to accommodate many data sets.
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The Death of Moore’s Law.  The Birth of Software-Defined Servers.

composable infrastructure, software-defined data center, in-memory computing, data center, infrastructure, in-memory, software-defined server, in-memory performance

It has been over 50 years since Gordon Moore saw that transistor density doubles every two years.  Over the decades, the interpretation of “Moore’s Law” has evolved to represent that the performance of microprocessors, and computers in general, is doubling every 18 months. 

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Why Two Tech Legends Changed Their Minds About The Future of Computers

in-memory computing, in-memory performance, in-memory, Large memory, software-defined server, HANA, Gordon Bell, IEEE Computer

In 1984, Ike Nassi, now an accomplished technologist and entrepreneur, was vice president of research at Encore Computer.  He and his colleagues, along with Encore co-founder Gordon Bell, the legendary engineering vice president at Digital Equipment Corp. and originator of Bell’s Law of computer classes, submitted a proposal to DARPA. They hoped the defense-focused research agency would fund the development of a distributed approach to strongly coherent shared memory.  The work was founded on the notion that applications are more easily written, and deliver results sooner, when the data is entirely resident in memory.

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Why 2018 is the Year of the Software-Defined Server

software-defined data center, software-defined server, software-defined storage, Oracle Cloud Infrastructure, OrionVM, IDC, Gartner, TidalScale WaveRunner

With data volumes growing at a whopping 62 percent CAGR, it’s easy to see why some organizations are worried about keeping up. They’re trying to process and analyze bigger and more complicated problems, which increasingly stresses their computing resources.  Eventually, you hit the limits of what your systems can handle.

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In Korea, a Real Hunger for Right-Sizing Servers

TidalScale Korea, Korea, Memory, DRAM, software-defined server, inverse hypervisor, hpc

TidalScale Korea officially launched last week in Seoul. It was a milestone event in a country where enterprises, governments and institutions are seeking cost-effective ways to deal with increasingly cumbersome Big Data problems and unpredictable workloads.

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How to Harness the Disruptive Benefits of Containers

AWS, Amazon EC2, Cloud Computing, containers, software-defined data center, software-defined server

Some developments challenge our accepted notions of what things are and how they’re created.  Uber and Airbnb, for instance, caused us to rethink what transportation and lodging mean in the new sharing economy.  Then there’s Amazon, one of the granddaddies of disruptors.

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Learn About Right-Sizing in 5 Easy Steps

right-sizing, software-defined server, software-defined data center, composable infrastructure

I’ll be the first to acknowledge that there’s a lot to the TidalScale story. Our Software-Defined Servers enable organizations to right-size servers on the fly to fit any data set. The process of creating one is fast, flexible and easy. With TidalScale, you can:

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5 Ways Data Centers are Grossly Inefficient

data center, software-defined data center, composable infrastructure, IDC

Earlier this year, IDC surveyed 301 IT users from medium-sized and large enterprises, asking them questions that allowed the research firm to determine the relative efficiency of those data centers. (For reference, the average data center contained 386 blades and servers, while the largest third of those surveyed averaged 711 blades and servers.)

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Why More Data Centers Will Be Software Defined

software-defined server, data center, software-defined data center, sddc, in-memory computing

A new report projects that the global Software-Defined Data Center (SDDC) market will grow at a 22 percent compound annual growth rate through 2021. The authors, an India-based outfit called Wise Guy Consultants, estimate that the total market size for SDDC goods and services will reach $81.4 billion in the same period.

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How to Get the Most from Your Cloud

cloud optimization, Cloud Computing, cloud, infrastructure

In case you missed the news the other day, the analysts at Gartner have just named TidalScale a Cool Vendor in its 2017 Cloud Computing Report[i].  This latest report from one of the world’s most respected research outfits affirms once more that the time is right for TidalScale’s Software-Defined Servers, which bring flexibility to modern data centers by enabling organizations to right-size servers on the fly.  (I say “affirms once more” because TidalScale was named an IDC Innovator just a few weeks ago.) 

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The Cloud as Rainmaker

Cloud Computing, Gartner Cool Vendor, software-defined server, TidalScale

In case you missed the news the other day, the analysts at Gartner have just named TidalScale a Cool Vendor in its 2017 Cloud Computing Report[i].  This latest report from one of the world’s most respected research outfits affirms once more that the time is right for TidalScale’s Software-Defined Servers, which bring flexibility to modern data centers by enabling organizations to right-size servers on the fly.  (I say “affirms once more” because TidalScale was named an IDC Innovator just a few weeks ago.) 

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Why Wait for HPE’s The Machine?

software-defined server, TidalScale, infrastructure, in-memory performance

Today, Hewlett Packard Enterprise (HPE) unveiled a prototype of a massive server designed around memory – 160TB of it in fact. In announcing this concept system, which is the latest project in HPE’s research effort known as The Machine, HPE chief Meg Whitman reasoned, “We need a computer built for the Big Data era.”

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A Market Awakens to the Value of Software-Defined Servers

software-defined server, TidalScale

 

You may have seen last week’s announcement that TidalScale was named an IDC Innovator in a recent report on software-defined solutions in the data center. IDC Innovators: Virtualizing Infrastructure with Software-Defined Compute, 2017 (March 2017) calls out TidalScale for allowing enterprises to “reuse commodity servers currently in service as workload demands arise.” That’s a gloriously concise way to bottom-line the

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8 More Benefits of Software-Defined Servers

software-defined server, TidalScale

In my last blog, I touched on some of the benefits that make Software-Defined Servers the crucial missing piece of the software-defined data center.  Now it’s time to look closer at why Software-Defined Servers are so beneficial, and to whom.

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The One Thing Every Data Center Needs (But Doesn't Have)

software-defined server, TidalScale

Most data center managers – and even many end users – are familiar with Software-Defined Networking and Software-Defined Storage. These battle-tested approaches to virtualizing existing assets make it easier for resources to zig when workloads zag. They introduce significant flexibility into the data center, which is a win for practically everyone involved.

But one piece has been conspicuously missing from the software-defined puzzle: the server.

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A Big Data Challenge, Finally Solved

big data, software-defined server

When I talk with people about the rapidly increasing volumes of data they rely on to run their business, I describe data growth in terms of the cost of sending a kid to college. Today, tuition and fees at an out-of-state public school average nearly $25,000 a year. If those costs grow at the rate that data is growing – at 62 percent CAGR – then by the time your new born daughter heads to college, her freshman year alone will cost more than $200 million!

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