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Last week I wrote about the server product update for the upcoming Nehalem-EX processor and the expandable platforms based on it.  Today I wanted to provide you with a short 10 minute video captured from the event.  It’s a really good summary for those of you that want to learn more about Intel’s Xeon product roadmap but with limited time.

Also, as I mentioned earlier, look for some informative blogs over the next 1-2 weeks that will offer more of an in depth view of Nehalem-EX’s 4 Socket capabilities, performance, scalability, RAS, and Virtualization. 

bryce

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In 1965, Intel co-founder Gordon Moore made a prediction, popularly known as Moore's Law, stating that the number of transistors on a chip will double about every two years. Intel has kept that pace for nearly 40 years. For IT, this translates into a roadmap that enables IT to buy new servers that cost roughly the same as the previous server but performs so much better. Compare Intel’s 4 Socket MP server performance introduced in 2006 (Intel Xeon processor 7000 series) to today’s server introduced in 2008 (Intel Xeon 7400): 3x more performance throughput as measured by SPECint*_rate_base 2000*, 2.4x more ERP users as measured by SAP-SD* and 2x more database transactions as measured by TPC-C*.

Now, introduce a global economic downturn into the mix and suddenly IT is forced to cut costs and projects (i.e. delay or cancel upgrades and non-revenue generating projects). New articles start popping up from magazines like the Economist that take Moore’s Law and propose flipping it on it’s ear: instead of products providing more performance at roughly the same price, provide products that offer the same performance as IT is already experiencing, but now at a lower price. Call it “inverting Moore’s law” where IT takes the dividend it provides in dollars vs. extra performance.

So here’s something to think about: You can also “invert” Moore’s Law by making new targeted IT investments today that offer attractive payback scenarios tomorrow - giving you similar performance but at a much lower cost. With mortgage rates dropping, you may have already benefited from a rapid payback in your personal life (i.e. I recently refinanced a house down from 7% to 5.25% 30-year fixed rate that I had continuously made additional principle payments for. The ~$5k up front investment (i.e. closing costs) will be “paid back” to me after 5 months due to monthly mortgage payment savings.

Here is a server refresh example that explains how you can also get an attractive payback for your IT department.

Oracle Database Refresh: Let’s next look at a hypothetical example of an IT department running current Oracle Database Enterprise Edition on 12 servers purchased in early 2006 (dual-core Intel Xeon 7041 based servers introduced in 2005) and assess the total cost of ownership difference in moving to new servers.  We’ll assume the IT manager is paying per processor licensing fees for Oracle Database. We’ll compare the old server equipment to new 4-core Xeon 7440 based servers that offer up to ~3x more database performance (Xeon processor 7400 Series come in flavors of 6-core and 4-core versions).  This should enable consolidation ratios of 3:1, enabling the IT manager to reduce from 12 servers to 4 new servers. 

First the new investment: 4 New Xeon 7400 based servers at roughly $20k each = $80k.  Add another $5k for Network, Server Maintenance and Install Costs.  Remove ~$2k in tax implications associated with the expense in year 0.  Total investment ~$83k. 

Next, let’s look at the savings: The IT Manager is paying $41.8k yearly on Oracle maintenance/support costs x 12 dual-core MP servers today, that is $501k.  The 4 new quad-core servers will have larger Oracle database maintenance/support costs because of the core count ($83k x 4 servers = $334k) but this will still result in $167k SW savings each year (difference between $501k and $334k) which my calculations show about $669k savings over 4 years.  Moving from 12 to 4 servers also reduces about $72k in network, server maintenance, and utility (power/cooling) costs over 4 years as well. In addition to all of these costs savings over 4 years, my calculations show that the original investment of ~$83k has a payback of 9 months.

Targeted IT investments today can offer attractive payback scenarios and cost savings tomorrow - giving you similar performance but at a much lower cost.   Let me know what you think? 

 

 



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We all know that IT is using virtualization on x86 servers to solve tough data center challenges (server sprawl, accelerating power and cooling costs, the need to extend life of current facilities, achieving high-availability and disaster recovery through live migration, etc.) 

But which x86 servers are they using? According to IDC’s q3’08 Server Virtualization tracker, 85% of all the x86 servers deployed in 2008 for virtualization were based on Intel® Xeon® processors. 

Ok, next question: Is there a benefit to going with scalable 4 Socket servers (Multi-processor) vs. 2 socket servers (Dual-Processor)?  It’s a religious argument really, but as IT budgets continue to tighten, scalable 4 Socket servers offer more ‘capabilities’ (i.e. processors, memory, I/O ports and reliability features) that enable higher consolidation ratios. 

So I thought I would write about 5 specific scenarios where you should see a benefit to scalable 4 Socket (MP) servers over 2 Socket newest (DP).  Tell us if you agree or disagree.

1. Higher Consolidation Ratios for Memory-Constrained Apps

Do you have a bunch of apps that you need to keep running but at the same time face tremendous pressure to address the challenges listed above?  A key advantage of scalable servers is that they can be configured with more memory than smaller 2S servers, typically 2x-4x more.  Often times, especially with multi-core processors, virtual machines will run into memory constraints before they run into processor constraints.  A 2x-4x memory capacity advantage can translate into 2x-4x the VMs.  Scalable servers also tend to use available memory more efficiently, since code and data can be stored once and shared among multiple virtual machines.  Solvay Pharmaceuticals, for example, intends to run with consolidation ratios as high as 25:1 on 4 Socket Xeon servers. 

2. Performance and Reliability for Business-Critical Workloads

Intel’s launch last September of the Xeon 7400 processor (6-cores, 16mb shared L3 cache) brings 24 processing cores and up to 256gb memory (32 dimm slots x 8gb dimms) to a 4 Socket Server environment.   This provides a lot of resources for demanding applications and unexpected workload spikes.  Tests within Intel’s IT department have shown that 4-socket servers show much less variation in throughput than comparable 2-socket servers as virtualized workloads are increased. 

3. Faster and More Cost-Effective Test and Development

Development teams can be demanding.  The faster IT can provision testing environments for the developers the better.  Scalable servers offer more headroom to deploy additional dev environments when needed, without waiting for new physical servers to be provisioned. Scalable servers can also support a broader range of applications, including enterprise applications that may require the processor, memory and I/O resources of a large, multi-processor system.  Using the same Solvay Pharmaceuticals example listed above, they were able to deploy new apps in 10 min vs. 1 week prior to deploying virtualization on Xeon based servers.

4. Larger and More Robust Flexible Resource Pools

With VMware Virtual Infrastructure, applications can be migrated without downtime among all the servers in a resource pool, which can include up to 32 physical hosts (in a VMware HA* or VMware DRS* cluster).  Using larger, scalable servers would simply expand the capacity of those resource pools due to the additional memory, processors, I/O, etc. 

5. Better Utilization of Limited Data Center Resources

Many data centers are operating at or near the limit of their power, cooling and networking capacity. By using larger, scalable servers to increase consolidation ratios, IT can reduce power and cooling requirements and share local area network (LAN) and storage area network (SAN) ports more efficiently – all of which can help defer the high cost of new data center construction. 

Let us know what you think…

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