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eX5 Workload Optimized Customer Presentation
A smarter planet demands smarter systems Management costs now represent  70 percent  of IT budget. 1 It’s time for new thinking   1 Clabby Analytics,  The Data Center ‘Implosion Explosion’ … and the Need to Move to a New Enterprise Data Center Model , February 2008 The next generation x86 architectures must  be able to keep up with the  proliferation of workloads  and  explosion of data  of a smarter, more interconnected planet.  c DATA Workloads Underutilization & High OPEX Reactive  vs Proactive Memory  bottleneck Are optimized for workloads. Scale quickly and efficiently. Remove memory bottlenecks. Maximize utilization. Provide rapid access to data. Clients need systems that:               
IBM will lead the way ,[object Object],[object Object],[object Object],[object Object],[object Object],eX5 Systems eX5 Workload Optimized Systems Workload Optimized Solutions Self Integrating Customers OEM Integrated for Customers
IBM Full Spectrum of Implementation Integration eX5 Systems Example:   Data Warehouse Solution Architecture Purchase Ship Build Software IntegrationTesting Workload  Optimized Solutions eX5 Workload Optimized Systems Hardware x3850 X5 Server x3950 X5 Database Optimized System IBM Smart Analytics System 2050 Solution IBM Purchase Customer  Owned Integrated Hardware IBM Purchase Ship Build Software Customer Owned Solution Architecture
eX5 Workload Optimized Brand Value Database Optimized Systems Virtualization Optimized Systems MAX5  Systems Express  Systems Smart Analytics 2050 IBM pureScale Solution Smart Grid Solutions (Itron, Trilliant) Integrated solutions and workload optimized Systems enhance the eX5 brand value Healthcare Solutions (McKesson) SAP Business Intelligence Solution eX5 Systems eX5 Workload Optimized Systems Workload Optimized Solutions* * Future targeted offerings x3850 X5 x3690 X5 HX5
eX5 Workload Optimized Customer Value Example Database Optimized System Smart Analytics 2050 Spectrum of offerings adding incremental value with each offering eX5 Systems eX5 Workload Optimized Systems Workload Optimized Solutions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],x3850 X5
Traditional Implementations are long, expensive processes Service Management Systems, Image,  Virtualization  Management & Tools Hypervisor Operating System Storage Network x86 Servers Middleware Over 8000 client assessments show that  they use multiple platforms to optimize IT and  they assemble the components largely by themselves x86 Stack size, select, order, install, debug, test, optimize, cut-over, support … Preconfigured solutions can reduce  a 6 month Installation to 15 days,  saving up to $137,500   in installation and setup costs Implementation
eX5 is Purpose Built for Workloads ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],100 to 1 drive reduction
Simplifying Deployment for Targeted Customer Workloads ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Wow… we can do all of that… Let me tell you about eX5 Workload Optimized Systems.
eX5 Database Systems
The World is Changing and Becoming More… Instrumented Interconnected Intelligent
With This Change Comes an Explosion in Information … Source:  IBM Institute for Business Value Variety of Information Volume of Digital Data Velocity of Decision Making
With this change comes an explosion in information … …  Yet organizations are operating with blind spots Source:  IBM Institute for Business Value Inefficient Access 1 in 2  don’t have access to the information across their organization needed to do their jobs Lack of Insight 1 in 3 managers frequently make critical decisions without the information they need Inability to Predict 3 in 4 business leaders say more predictive information would drive better decisions Variety of Information Volume of Digital Data Velocity of Decision Making
[object Object],[object Object],[object Object],Traditional storage optimizations are not enough The Bottom Line Power  And  Energy Costs Add DRAM & Spindles to address bottlenecks in the server storage hierarchy  using traditional high performance hard disk drives ,[object Object],[object Object],[object Object],Costs & TCO IOPS
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Flash technology delivers new usage opportunities
High performance flash is ideal for a broad set of applications Digital Content Medical Imaging Cloud Computing Financial Analysis Web 2.0 Energy Exploration Design/Simulate Datacenter Refresh ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Target applications
The new standard in storage performance  eXFlash   delivers integrated solid-state disk technology and a  high-speed controller architecture. 800 spinning disks Same performance as 97% less expensive For same 1,000 user database performance 1% of spinning disks Power reduced to
eX5 eXFlash — Feature rich with high I/O performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Combination of solid-state disk technology and high-speed controller architecture deliver extreme performance to replace limited IOPs of traditional HDDs eXFlash Features ,[object Object],[object Object],[object Object],[object Object],[object Object]
IBM System x3950 X5 Database Systems Flagship System x platform for leadership database performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1Q 2011 1Q 2011 August 2010 7145-5Gx 3TB Cache Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],7145- 4Fx 3TB RAID 5 Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],7145-5Dx Open Bay Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IBM System x3690 X5 Database Systems High end scalable 2-socket for maximum database performance in a 2U ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],1Q 2011 1Q 2011 August 2010 7148-3Jx 3TB Cache Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],7148- 3Fx 3TB RAID 5 Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],7148-3Dx Open Bay Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IBM BladeCenter HX5 Database System High performance database blade for maximum density ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],4Q 2010 7872-66x High IOPs Density Blade ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
eX5 Database Optimized System Summary ,[object Object],[object Object],[object Object],Capabilities Benefits Preconfigured Models ,[object Object],[object Object],[object Object],MTM Access connection Use case IOPs (read only max) Capacity (max) 600K IOPs***** 720K IOPs**** 720K IOPs*** 480K IOPs** 1,680K IOPs* 7872-66x 71483Fx 71483Jx 7145-4Fx 7145-5Gx 1.28TB High Speed Read Cache Direct Access HX5 4.8TB High IOPs Redundant Data HW RAID 5 4.8TB High Speed Read Cache Direct Access x3690 X5 3.2TB High IOPs Redundant Data HW RAID 5 4.48TB High Speed Read Cache Direct Access x3950 X5 IOPS of 2,932 HDDs in one server
eX5 Virtualization Systems
Use Case - VMware Single License Virtualization  Purpose:   Maximizing number of virtual machines under a single VMware Software License Greater performance  with same software license Reduced cost plus more users 153 for 6 core 211 for 8 core # of VMs  CPU constrained $3500.00 VMware  Enterprise Plus 384GB Total Memory Populated 48 Memory Qty 8GB Memory DIMM 1 Processor Qty E7540 Processor Nehalem EX  x3690X5 w/ MAX5 Virtualization  Workload System for Average VMs 70 # of VMs  Memory constrained $3500.00 VMware  Enterprise Plus 128GB Total Memory Populated 16 Memory Qty 8GB Memory DIMM 1 Processor Qty E7540 Processor Nehalem EX  Proliant DLXX0 G6 Competitive Virtualization Workload Average VMs Value Prop ,[object Object],[object Object],[object Object],Yes Mecha-King 105 for 6 core # of VMs  Memory  constrained $3500.00 VMware  Enterprise Plus 192GB Total Memory Populated 48 Memory Qty 4GB Memory DIMM 1 Processor Qty E7540 Processor Nehalem EX  x3690X5 w/ MAX5 Virtualization  Workload System for Average VMs
IBM System x3950 X5 Virtualization Systems Flagship System x platform for leadership consolidation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],September 2010 7145-4Dx VMware Optimized Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IBM System x3690 X5 Virtualization Systems High end scalable 2-socket for maximum virtual machines in a 3U ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],October 2010 7148-2Dx VMware Optimized Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IBM BladeCenter HX5 Virtualization System High performance virtualization blade for maximum VMs 4Q 2010 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],7872-68x VMware Optimized Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
eX5 Virtualization Optimized System Summary ,[object Object],[object Object],[object Object],Capabilities Benefits Preconfigured Models 4X the VMs of industry standard 2S 2U systems  ,[object Object],[object Object],[object Object],MTM Hypervisor Processors  DIMMs Memory (max) 2 x E6540 2 x E6540 4 x X7550 640GB 40 DIMMs VMware vSphere 4.1  7872-68x 64 DIMMs 96 DIMMs 71482Dx 7145-4Dx HX5 1TB VMware vSphere 4.1 x3690 X5 1.5TB VMware vSphere 4.1 x3950 X5

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IBM eX5 Workload Optimized x86 Servers

  • 1. eX5 Workload Optimized Customer Presentation
  • 2. A smarter planet demands smarter systems Management costs now represent 70 percent of IT budget. 1 It’s time for new thinking 1 Clabby Analytics, The Data Center ‘Implosion Explosion’ … and the Need to Move to a New Enterprise Data Center Model , February 2008 The next generation x86 architectures must be able to keep up with the proliferation of workloads and explosion of data of a smarter, more interconnected planet. c DATA Workloads Underutilization & High OPEX Reactive vs Proactive Memory bottleneck Are optimized for workloads. Scale quickly and efficiently. Remove memory bottlenecks. Maximize utilization. Provide rapid access to data. Clients need systems that:               
  • 3.
  • 4. IBM Full Spectrum of Implementation Integration eX5 Systems Example: Data Warehouse Solution Architecture Purchase Ship Build Software IntegrationTesting Workload Optimized Solutions eX5 Workload Optimized Systems Hardware x3850 X5 Server x3950 X5 Database Optimized System IBM Smart Analytics System 2050 Solution IBM Purchase Customer Owned Integrated Hardware IBM Purchase Ship Build Software Customer Owned Solution Architecture
  • 5. eX5 Workload Optimized Brand Value Database Optimized Systems Virtualization Optimized Systems MAX5 Systems Express Systems Smart Analytics 2050 IBM pureScale Solution Smart Grid Solutions (Itron, Trilliant) Integrated solutions and workload optimized Systems enhance the eX5 brand value Healthcare Solutions (McKesson) SAP Business Intelligence Solution eX5 Systems eX5 Workload Optimized Systems Workload Optimized Solutions* * Future targeted offerings x3850 X5 x3690 X5 HX5
  • 6.
  • 7. Traditional Implementations are long, expensive processes Service Management Systems, Image, Virtualization Management & Tools Hypervisor Operating System Storage Network x86 Servers Middleware Over 8000 client assessments show that they use multiple platforms to optimize IT and they assemble the components largely by themselves x86 Stack size, select, order, install, debug, test, optimize, cut-over, support … Preconfigured solutions can reduce a 6 month Installation to 15 days, saving up to $137,500 in installation and setup costs Implementation
  • 8.
  • 9.
  • 11. The World is Changing and Becoming More… Instrumented Interconnected Intelligent
  • 12. With This Change Comes an Explosion in Information … Source: IBM Institute for Business Value Variety of Information Volume of Digital Data Velocity of Decision Making
  • 13. With this change comes an explosion in information … … Yet organizations are operating with blind spots Source: IBM Institute for Business Value Inefficient Access 1 in 2 don’t have access to the information across their organization needed to do their jobs Lack of Insight 1 in 3 managers frequently make critical decisions without the information they need Inability to Predict 3 in 4 business leaders say more predictive information would drive better decisions Variety of Information Volume of Digital Data Velocity of Decision Making
  • 14.
  • 15.
  • 16.
  • 17. The new standard in storage performance eXFlash delivers integrated solid-state disk technology and a high-speed controller architecture. 800 spinning disks Same performance as 97% less expensive For same 1,000 user database performance 1% of spinning disks Power reduced to
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.

Notes de l'éditeur

  1. Ave installation of 3 persons for 6 moths at an annual salary of 100K = 150K vs. 3 persons for ½ month at 100K salary = 12.5k. 150 – 12.5 = 137.5K savings
  2. This let’s us all change the conversation we have with our clients. [Go through dialog on the screen]
  3. Summary: The world is changing, becoming increasingly instrumented, interconnected and intelligent. The resulting explosion of information creates an opportunity for a new kind of intelligence on a smarter planet. Intelligent organizations are looking to use the wealth of information and analytics to reach better, faster decisions and actions, optimized processes, and more predictable outcomes -- this is business optimization . Full Script (based on Sam’s remarks to Council on Foreign Relations, Nov 6, 2008): First, our world is becoming instrumented: The transistor, invented 60 years ago, is the basic building block of the digital age. Now, consider a world in which there are a billion transistors per human, each one costing one ten-millionth of a cent. We’ll have that by 2010. There will likely be 4 billion mobile phone subscribers by the end of this year… and 30 billion Radio Frequency Identification tags produced globally within two years. Sensors are being embedded across entire ecosystems – supply-chains, healthcare networks, cities… even natural systems like rivers. Second, our world is becoming interconnected: Very soon there will be 2 billion people on the Internet. But in an instrumented world, systems and objects can now “speak” to one another, too. Think about the prospect of a trillion connected and intelligent things – cars, appliances, cameras, roadways, pipelines… even pharmaceuticals and livestock. The amount of information produced by the interaction of all those things will be unprecedented. Third, all things are becoming intelligent: New computing models can handle the proliferation of end-user devices, sensors and actuators and connect them with back-end systems. Combined with advanced analytics, those supercomputers can turn mountains of data into intelligence that can be translated into action, making our systems, processes and infrastructures more efficient, more productive and responsive – in a word, smarter. All of this progress poses new challenges and new opportunities for all of us (Transition to Next Slide)
  4. Summary Volume and variety of information (structured and unstructured) is exploding, as the Planet becomes Smarter. Also, current economic times require corporations and governments to analyze new information faster and make timely decisions for achieving business goals! As the volume, variety and velocity of information and decision making increases, this places a larger burden on organizations to effectively and efficiently distribute the right information, at the right time, to the people, processes and applications that are reliant upon that information to make better business decisions. Full Script There are several factors driving the need for a new way of looking at information and the way we make decisions based on that information. When you think of the changes in our world today – the instrumentation, interconnectedness and intelligence of our environments – this produces a massive glut of new information, from new sources, with new needs to leverage it. This exacerbates some of the challenges that we have been dealing with for a while now, just on a whole new scale. Volume of Digital Data: The data explosion, of course, but also shifts in the nature of data. Once virtually all the information available to be "processed" was authored by someone. Now that kind of data is being overwhelmed by machine-generated data – spewing out of sensors, RFID, meters, microphones, surveillance systems, GPS systems and all manner of animate and inanimate objects. (Note: use statistics if you want) By 2010, the amount of digital information will grow to 988 Exabytes (equivalent to a stack of books from the sun to Pluto and back) Every day, 15 Petabytes of new information are being generated. This 8 times more than the information in all U.S. libraries The number of emails sent every day is estimated to be over 200 billion By 2010, the codified information base of the world is expected to double every 11 hours Variety of Information (diversity and heterogeneity): With this expansion of the sources of information comes large variance in the complexion of the available data -- very noisy, lots of errors -- and no time to cleanse it in a world of real-time decision making. (Note: use statistics if you want) 80% of new data growth is unstructured content, generated largely by email, with increasing contribution by documents, images, and video and audio 38% of email archiving decisions receive input from a C-level executive and 23% from legal/compliance professional The average car will have 100 million lines of code by 2010; the Airbus A380 alone contains over 1 billion lines of code Velocity of Decision Making: This is about optimizing the speed of insight generated as well as confidence that the decisions and actions taken will yield the best outcomes based on more proactive, planning around the management and use of information sources, and creating far more advanced predictive capabilities: (Note: use statistics if you want) Every week, the average information worker spends 14.5 hours reading & answering e-mail, 13.3 hours creating documents, 9.6 hours searching for information, 9.5 hours analyzing information For every 1,000 knowledge workers, $5.7 million is lost annually in time wasted reformatting information between applications. Not finding the right information costs an additional $5.3 million per year An Institute for Business Value Agile CFO Study in 2007 indicated that only 9% of senior finance executives believe they excel at gathering, interpreting & conveying information to senior management 42% of managers say they inadvertently use the wrong information at least once per week When you combine these factors together, it puts significant strain on an organization’s ability to optimize their business for competitive advantage: Companies can’t determine what is the important information to base decisions on – 1 in 3 managers frequently make decisions based on incomplete information. Many times, decision makers simply can’t get to the information that they need, and this leads to An inability to predict what will happen so they can plan appropriately to take advantage of new opportunities or counter imminent threats to their business. New Data  Opportunity for New Intelligence: All of this data is creating challenges – It also provides an excellent opportunity for driving an information-led transformation in organizations today! Companies and governments are looking at ways to sort through the data, understand and connect the key pieces of information and drive smarter business outcomes based by leveraging the information assets! (Transition to the next slide)
  5. Summary Volume and variety of information (structured and unstructured) is exploding, as the Planet becomes Smarter. Also, current economic times require corporations and governments to analyze new information faster and make timely decisions for achieving business goals! As the volume, variety and velocity of information and decision making increases, this places a larger burden on organizations to effectively and efficiently distribute the right information, at the right time, to the people, processes and applications that are reliant upon that information to make better business decisions. Full Script There are several factors driving the need for a new way of looking at information and the way we make decisions based on that information. When you think of the changes in our world today – the instrumentation, interconnectedness and intelligence of our environments – this produces a massive glut of new information, from new sources, with new needs to leverage it. This exacerbates some of the challenges that we have been dealing with for a while now, just on a whole new scale. Volume of Digital Data: The data explosion, of course, but also shifts in the nature of data. Once virtually all the information available to be "processed" was authored by someone. Now that kind of data is being overwhelmed by machine-generated data – spewing out of sensors, RFID, meters, microphones, surveillance systems, GPS systems and all manner of animate and inanimate objects. (Note: use statistics if you want) By 2010, the amount of digital information will grow to 988 Exabytes (equivalent to a stack of books from the sun to Pluto and back) Every day, 15 Petabytes of new information are being generated. This 8 times more than the information in all U.S. libraries The number of emails sent every day is estimated to be over 200 billion By 2010, the codified information base of the world is expected to double every 11 hours Variety of Information (diversity and heterogeneity): With this expansion of the sources of information comes large variance in the complexion of the available data -- very noisy, lots of errors -- and no time to cleanse it in a world of real-time decision making. (Note: use statistics if you want) 80% of new data growth is unstructured content, generated largely by email, with increasing contribution by documents, images, and video and audio 38% of email archiving decisions receive input from a C-level executive and 23% from legal/compliance professional The average car will have 100 million lines of code by 2010; the Airbus A380 alone contains over 1 billion lines of code Velocity of Decision Making: This is about optimizing the speed of insight generated as well as confidence that the decisions and actions taken will yield the best outcomes based on more proactive, planning around the management and use of information sources, and creating far more advanced predictive capabilities: (Note: use statistics if you want) Every week, the average information worker spends 14.5 hours reading & answering e-mail, 13.3 hours creating documents, 9.6 hours searching for information, 9.5 hours analyzing information For every 1,000 knowledge workers, $5.7 million is lost annually in time wasted reformatting information between applications. Not finding the right information costs an additional $5.3 million per year An Institute for Business Value Agile CFO Study in 2007 indicated that only 9% of senior finance executives believe they excel at gathering, interpreting & conveying information to senior management 42% of managers say they inadvertently use the wrong information at least once per week When you combine these factors together, it puts significant strain on an organization’s ability to optimize their business for competitive advantage: Companies can’t determine what is the important information to base decisions on – 1 in 3 managers frequently make decisions based on incomplete information. Many times, decision makers simply can’t get to the information that they need, and this leads to An inability to predict what will happen so they can plan appropriately to take advantage of new opportunities or counter imminent threats to their business. New Data  Opportunity for New Intelligence: All of this data is creating challenges – It also provides an excellent opportunity for driving an information-led transformation in organizations today! Companies and governments are looking at ways to sort through the data, understand and connect the key pieces of information and drive smarter business outcomes based by leveraging the information assets! (Transition to the next slide)
  6. Maximize performance 30x performance increase for local databases 90% better performance per watt for database-type workloads Maximize cost savings 100 to 1 replacement ratio of traditional drives, replacing thousands of drives and cables $350,000 savings/xx xx over equal IOPs HDDs 10x reduction in energy for enterprise configurations Up to 30x greater solution density over traditional HDD solution Maximize reliability RAID 5/6 controller for redundant data storage reliability at 37.5% greater capacity 64x greater reliable customer solution over traditional HDD’s
  7. * Drives can be purchased individually, or as a bundle of 8 drives per eXFlash. A PCIe slot for a SAS/RAID controller is needed with each eXFlash unit, and 2 controllers for RAID5/6 configs. 100% read using RAID 5, 120K IOPS per controller, yields 240K IOPS per eXFlash 87K RAID 5/6 IOPS based on 43,500 IOPs per controller, attach 2 gives 87K. 67/33% read write mix. Assumes dynamic throttling (final status TBD); without it, 30K IOPS per controller, or 60K per eXFlash. With RAID 5 based on 4 drives per controller, the capacity becomes 1.2TB per eXFlash.
  8. Storage Hardware $690k (80 JBODs, 800 disks) with 100 to 1 HDD to SSD ratio vs. $20K * 2 eXFlash units (240k IOPs, 1.6 TB each) + 4x320 GB SLC High IOPS adapter cards (300k IOPs, 320 GB each) = 1,680K IOPs, 4.48TB. ** 2 eXFlash units (240K IOPS, RAID 5 read-only) = 480K IOPs, 2x1.6TB= 3.2 TB. *** 3 eXFlash units (240k IOPs each) = 720k IOPs. 3x1.6TB=4.8TB. No High IOPS adapters in this optimized model. **** 3 eXFlash units (240k IOPS each, RAID 5 read-only) = 720K IOPs. 3x1.6TB=4.8TB. ***** 2x320 GB SLC High IOPS Adapter cards in BPE4 side car (300K IOPs each) = 600K IOPs, 2x640 GB=1.28TB. No eXFlash for HX5 at this time. 1,680,000 IOPs (max config) / 300 IOPs (max for HDD) = 5,600. The SSD and Each of the adapters has an effective IO limit. Current estimates are: 200GB eMLC drive - 30k IOPs Ripley - 240k IOPs Bluefield - 43.5k IOPs The effective IOPs will be the combination of these two, will more cards and adapters the IOPs are additive, but whichever is the limiting factor will set the IOPs and more of the other adds no benefit. So Ideal scenarios are: Read Only . Megalon - at 960K IOPs with 4 Ripleys and 32 SSDs. Current limit is 24 SSDs and 720 IOPs which use 3 Ripleys. (no benefit from adding a 4th Ripley when limited to 24 SSDs) (3 Ripleys leaves room for either redundant 10GB or redundant HBAs - 4 Ripleys leaves only one slot available) . Ghidorah - capped at 480k IOPs because of the 16 SSDs - requires only 2 Ripleys - no benefits from adding more Ripleys. Could realistically add up to 4 Fusion IO cards for an additional 400K IOPs for 880K IOPs (2 Ripley, 4 Fusion IO and still redundant 10GB Ethernet cards or HBAs - assuming one of the Ripleys or Fusion is in the internal slot) RAID 5 . Ghidorah - 174k IOPs with 4 Bluefields. (leaves up to 4 slots open) Adding additional drives does not increase further IOPs. Not any more SAS connectors to add more Bluefields. . Megalon - still 174k IOPs with 4 Bluefields. Few additional slots - 3 Bluefields and 130.5k IOPs potentially more realistic to keep two open slots. But you can do a larger total GB capacity.