Cisco’s Cloud CTO Clarifies Strategy, Describes Datacenters of the Future

By Nicole Hemsoth

January 24, 2011

Lew Tucker discusses the datacenter of the future, sheds light on the “many clouds” theory, and describes the perfect storm in computing that is leading to new paradigms in IT.

Although Cisco has a viable stake in the future of cloud computing, its position has been difficult to pin down, despite the fact that their Unified Computing System (UCS) server architecture and network commitments present a solid chance for them to have an impact on the market.

Other than a few scattered announcements and the publicized positioning of Lew Tucker (of Sun and Salesforce fame) as Cloud CTO nearly six months ago, Cisco has been reluctant to announce a full-blown strategy around how it plans to stake its claim in the arena. The relative silence was broken this past week, when the company finally revealed its approach somewhat formally in a video interview with Tucker.

In something of a “coming out party” for Cisco’s cloud roadmap for the future, Lew Tucker chatted at length about what role the company might play in a space that is still shaking out its winners and losers on the cloud computing front.

At the beginning of his tenure, Tucker restated the value of the network as the heart of cloud—a fact that he claims is overlooked in all of the hype and excitement over cloud computing. In the strategy interview, however, he expands on the role of the network in securely delivering applications and gives us a glimpse into his view of the datacenter of the future.

A World of Many Clouds

When asked about the vendor shakeout that is inevitable as the cloud market matures in coming years, Tucker stated that instead of seeing the mega-providers who stake a claim in all verticals, there will be a development of industry-specific clouds.

He notes that clouds will form around needs and communities, thus for example within the healthcare industry there will be a small throng of HIPPA-compliant clouds as well as similarly fine-tuned offerings with a keen eye on the regulatory and security needs of government, financial services and others.

In light of this concept of specialized clouds, Tucker stated that some of Cisco’s enterprise-class customers are looking at what types of enterprise-class private clouds can be hosted by service providers now.

Despite this focus on “many clouds” serving disparate needs-based communities, Lew Tucker feels that in the future there is a “much larger cloud on the horizon” that is visible when we step back and look at the breadth of connected devices that are available at the present—a number that is sure to grow. From automobiles to sensors to mobile devices of all shapes and sizes, this complexity and range provides “the greatest example for why networking is so critical to the cloud” and how security is now an even more pressing issue.

In Tucker’s view, “if we look at the growing number of connected devices, whether mobile devices or even sensors with electrical power meters or even in the automobile itself, those devices are increasingly connected to the internet. So now you have in essence a  mini-cloud driving around on the highway—this is the greatest example for why networking is so critical to the cloud, now we need to have the security associated with these networked devices”

The Datacenter of the Future

Revealing Cisco’s general strategy in cloud computing over the coming years, Tucker emphasized the dual, complimentary roles of networking and system architecture as key to changing the way datacenters are built.

In addition to providing a rough approach to helping new customers build clouds using a “building blocks” approach wherein the essential infrastructure components are provided as well as looking at the broad range of devices to see the diverse array of end users and needs, one of the most striking elements of Tucker’s talk was his vision of how datacenters, based on the cloud model, are set to change.

In Lew Tucker’s opinion, there are certain points of dramatic inefficiency in the way datacenters are built and managed. As he described:

“When you build out internal architectures where you put an application on a server with an operating system, and then you move to the next application—as you add more and more applications into the datacenter, each with their own individual architectures, you don’t get economies of scale, you get very low utilization, and you get enormous complexity because you’ve tied the applications to the infrastructure.

Instead, what we’re doing with cloud is we’re saying build a cloud over the infrastructure…turn the infrastructure itself into a service—in which now the applications become virtualized so they can pick whatever operating system they need, they’re running on a virtual machine, they can be turned on or off—they are essentially being provided on-demand.

This means that the IT organization at these future datacenters can scale large to get efficiencies that way and can become totally automated since the infrastructure’s main goal is simply to provide a pool of resources to be used by the applications. This is a much more efficient way to build out datacenters and drive down cost as well as increase agility.”

Tucker also explained the concept of the network as a platform, which in essence means “creating a network platform driven by programmatic APIs we can do things like automate and build systems like UCS which is driven by APIs. Now software itself can do all the provisioning. It’s no longer the individual switch or router, it’s the system that comprises the network that drives it.”

While it is not difficult to see the position of Cisco’s UCS in the cloud strategy-wise, Tucker explains that part of the strategy is to actually build APIs into any networkable product the company sells that will touch the cloud.

A Perfect Storm in Computing

Perhaps not surprisingly, Tucker sees the cloud as the product of a natural course in computing evolution, all with the network at the heart of progress.  He briefly tracks the crescendo in network and architecture innovation that has led to cloud computing on a ten-year graph, beginning in the 1960s with mainframes, the minicomputer in the 70s, the client server to web transition that took place from the 80s into the 90s, followed by virtualization in 2000—and into this new decade that is defined by cloud.

This progression on a decade-long chart is, in Tucker’s view, a movement that is simply the manifestation of the new internet, a natural extension of a movement that has been building and compounding, just as it has with other technological paradigm shifts.
 
In addition to faster, more ubiquitous access to networked devices that are providing this next opportunity in computing, Tucker describes the “perfect storm” that is brewing. These storm clouds are “forming between the continued advance of Moore’s Law, which is driving down the cost of computing, coupled with the explosive growth of the Internet, as well as technology advances like virtualization.” While he acknowledges that this new era is still dawning, there are signs that cloud computing is the next major shift in IT by pointing to cloud service providers like Amazon Web Services (AWS). 

Tucker argues that AWS is at the forefront of making it possible for web developers and small companies to get into cloud computing—and that this is changing the economics of computing in yet another way.

As Cisco’s Cloud CTO claims, “If you’re going to Sandhill Road to get money as a startup they’re not going to give you money for infrastructure; they’re going to say you go and buy it from the cloud—that way they lower their risk and there’s the pay-as-you-go model.”

In addition to seeing public cloud resources as driving business forward, Tucker also sees rapid movement in enterprise adoption of private clouds as companies see this trend, which is driven by economies of scale, and seek to take advantage of it.

The problem is, until this more refined model of datacenter innovation takes place as described, it will be difficult for enterprise datacenters to achieve the same cost benefit. This is where Cisco is making its play—in refining datacenter architecture to look more like the large cloud service providers versus the traditional model of infrastructure as the carrier of applications.

You can view the full interview with Tucker here.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Oak Ridge National Laboratory in Tennessee, USA, retains its Read more…

Harvard/Google Use AI to Help Produce Astonishing 3D Map of Brain Tissue

May 10, 2024

Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of that at the upcoming ISC High Performance 2024, which is hap Read more…

Processor Security: Taking the Wong Path

May 9, 2024

More research at UC San Diego revealed yet another side-channel attack on x86_64 processors. The research identified a new vulnerability that allows precise control of conditional branch prediction in modern processors.� Read more…

The Ultimate 2024 Winter Class Round-Up

May 8, 2024

To make navigating easier, we have compiled a collection of all the 2024 Winter Classic News in this single page round-up. Meet The Teams   Introducing Team Lobo This is the other team from University of New Mex Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have become the backbone of devices with an on/off switch. Thes Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

A Big Memory Nvidia GH200 Next to Your Desk: Closer Than You Think

February 22, 2024

Students of the microprocessor may recall that the original 8086/8088 processors did not have floating point units. The motherboard often had an extra socket fo Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire