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cluster:107 [2012/12/21 13:20]
hmeij [Yale Qs] 		cluster:107 [2013/09/11 09:18] (current)
hmeij [Nvidia Telsa K20]
Line 63: Line 63:
   * Amber preinstall (there is a charge, it's very complicated, v12)   * Amber preinstall (there is a charge, it's very complicated, v12)
   * 3 year warranty   * 3 year warranty
-  * picture [[http://exxactcorp.com/index.php/solution/solu_detail/84]]+  * picture [[http://www.google.com/imgres?imgurl=http://images.anandtech.com/doci/6446/TeslaK20.jpg&imgrefurl=http://www.anandtech.com/show/6446/nvidia-launches-tesla-k20-k20x-gk110-arrives-at-last&h=2037&w=2500&sz=988&tbnid=JpjMdigXE1LQqM:&tbnh=90&tbnw=110&zoom=1&usg=__kqo6Ny7C_sc5fL6oIlIyb_P4MXU=&docid=tVrJJ13rwkfi0M&sa=X&ei=ZW0wUu3BE4iC9QT_oYGABw&sqi=2&ved=0CGIQ9QEwBg&dur=41]]
   * quote coming (see below)   * quote coming (see below)
   * can i plug the power cords into HP rack PDU (PDU to PDU? Answer is no, unless you just buy the rack servers.)   * can i plug the power cords into HP rack PDU (PDU to PDU? Answer is no, unless you just buy the rack servers.)
Line 192: Line 192:
 GPU cluster management (includes Platform LSF so identical to Lava which we use)\\ GPU cluster management (includes Platform LSF so identical to Lava which we use)\\
 [[https://developer.nvidia.com/cluster-management]] [[https://developer.nvidia.com/cluster-management]]
 +
 +Webinars
 +[[http://www.gputechconf.com/page/gtc-express-webinar.html||http://www.gputechconf.com/page/gtc-express-webinar.html]]
  
 ==== GPU Programming ==== ==== GPU Programming ====
Line 223: Line 226:
     ...     ...
 </code>  </code> 
 +
 +More examples using the PGC compiler and openACC from Microway  [[http://microway.com/hpc-tech-tips/2013/04/5-easy-first-steps-on-gpus-accelerating-your-applications/]]
  
 ==== Phi Programming ==== ==== Phi Programming ====
Line 305: Line 310:
  
   * What was the most important design element of the cluster?   * What was the most important design element of the cluster?
-  * What factor settled the CPU to GPU ratio? +  * What factor(s) settled the CPU to GPU ratio? 
-  * Was either, or neither, single or double precision peak performance important? +  * Was either, or neither, single or double precision peak performance more/less important? 
-  * What was the software suite in mind (commercial GPU ready, open source GPU ready, or custom code)? +  * What was the software suite in mind (commercial, open source, or custom code GPU "enabled")? 
-  * What was the impact on the user? (recoding, recompiling)+  * How did you reach out/educate users on the aspects of GPU computing? 
 +  * What was the impact on the users? (recoding, recompiling)
   * Was the expected computational speed up realized?   * Was the expected computational speed up realized?
-  * Was the PGI Accelerator +  * Was the PGI Accelerator compilers leveraged? If so what were the results? 
- +  * Do users compile with nvcc? 
-==== ConfCall & Quote: AC ==== +  * Does the scheduler have a resource for idle GPUs so they can be reserved? 
- +  * How are the GPUs exposed/assigned to jobs the scheduler submits? 
-09nov12: +  * Do you allow multiple serial jobs to access the same GPU? Or one parallel job multiples GPUs? 
- +  * Can parallel jobs access mutliple GPUs across nodes? 
-  * /home and /apps mounted on CPU side. How does GPU access these? Or is job on CPU responsible for this? +  * Any experiences with pmemd.cuda.MPI (part of Amber)? 
-  * Single versus double precision? Both needed I assume. +  * What MPI flavor is used most in regards to GPU computing? 
-  * Unit above is Nvidia "Fermi" series, being phased out.  "Kepler" K10 and K20 series coming out. Get an earlybird unit, Jim will find out. +  * Do you leverage the CPU HPC of the GPU HPC? For example, if there are 16 GPUs and 64 CPU cores on a cluster, do you allow 48 standard jobs on the idle cores? (assuming the max of 16 serial GPU jobs)
-  * Lava compatibility (almost certain but need to check) AC uses SGE. +
-  * We do not really "know" if our current jobs would experience a boost in speed (hence one unit first - but there is a software problem here) +
-  * Intel Xeon Phi Co-Processors: Intel compilers will work on this platform (which is huge!) and no programming learning curve. (HP Proliant servers with 50+ cores), Jim will find out. +
-  * <del>Vendor states scheduler sees GPUs directly (but how does it then get access to home dirs, check this out)</del> ... update: this is not true, CPU job offloads to GPU +
- +
- +
-**AC Quote** +
- +
-  * Early 2013 product line up\\ +
-    * [[http://www.advancedclustering.com/products/pinnacle-flex-system.html]] Kansas City, KS +
-  * Quote coming for single 4U unit, which could be a one off test unit (compare to HP) +
- +
- +
-^  Topic^Description  ^ +
-|  General| 2 CPUs (16 cores), 3 GPUs ( 22,500 cuda cores), 32 gb ram/node| +
-|  Head Node| None| +
-|  Nodes|1x4U Rackmountable Chassis, 2xXeon E5-2660 2.20 Ghz 20MB Cache 8 cores (16cores/node), Romley series| +
-|  |8x4GB 240-Pin DDR3 1600 MHz memory (32gb/node), 11gb/gpu, max 256gb)| +
-|  |1x120GB SATA 2.5" Solid State Drive (OS drive), 7x3TB 7200RPM| +
-|  |3xNVIDIA Tesla K20 8 GB GPUs (3/node), 1CPU-1.5GPU ratio| +
-|  |2x10/100/1000 NIC,  3x PCIE 3.0 x16 Slots| +
-|  |1xConnectX-3 VPI adapter card, single-port 56Gb/s| +
-|  |2x1620W Redundant Power Supplies| +
-|  Network|1x36 port Infiniband FDR (56Gb/s) switch & 4xConnectX-3 single port FDR (56Gb/s) IB adapter  + 2x 2 meter cables (should be 4)| +
-|  Power| Rack power ready| +
-|  Software| None| +
-|  Warranty|3 Year Parts and Labor (AC technical support)|  +
-|  GPU Teraflops| 3.51 double, 10.56 single| +
-|  Quote|<html><!-- $33,067.43 S&H included --></html>Arrived| +
- +
-  * In order to match the "benchmark option" we need 5 units +
-    * 8100 Watts, would still fit power wise but not rack wise (we'd need 20U) +
- +
-  * Single rack, 21 TB of disk space (Raid 5/6) +
-  * The IB switch (plus 4 spare cards/cables) is roughly 1/3rd of the price +
-    * If we remove it, we need QDR Voltaire compliant HCAs and cables (3 ports free) +
-  * The config does not pack as much teraflops for the dollars; we'll see +
- +
- +
- +
-==== ConfCall & Quote: EC ==== +
- +
-12nov12: +
- +
-  * GPU hardware only +
-  * scheduler never sees gpus just cpus +
-  * cpu to gpu is one-to-one when using westmere chips +
-  * bright cluster management (image based) - we can front end with lava +
-  * what's the memory connection cpu/gpu??? +
-  * home dirs - cascade via voltaire 4036, need to make sure this is compatible! +
-  * software on local disk? home dirs via infiniband ipoib, yes, but self install +
-  * amber (charge for this) and lammps preinstalled - must be no problem, will be confirmed +
-  * 2 K20 per 2 CPUs per rack 900-1000W, 1200 W power supply on each node +
-  * PDU on simcluster, each node has power connection +
-  * quote coming for 4 node simcluster +
-  * testing periods can be staged so you are testing exactly what we're buying if simcluster if within budget (see K20 above) +
- +
- +
-**EC Quote** +
- +
- +
-  * [[http://exxactcorp.com/index.php/solution/solu_detail/119]] Fremont, CA +
- +
-^  Topic^Description  ^ +
-|  General| 8 CPUs (64 cores), 16 GPUs (40,000 cuda cores), 64 gb ram/node, plus head node| +
-|  Head Node|1x1U Rackmount System, 2xXeon E5-2660 2.20 Ghz 20MB Cache 8 cores| +
-|  |8x8GB 240-Pin DDR3 1600 MHz ECC (max 256gb), 2x10/100/1000 NIC, 2x PCIe x16 Full| +
-|  |2x2TB 7200RPM (can hold 10), ConnectX-2 VPI adapter card, Single-Port, QDR 40Gb/s| +
-|  |600w Power Supply| +
-|  Nodes|4x2U Rackmountable Chassis, 8xXeon E5-2660 2.20 Ghz 20MB Cache 8 cores (16/node), Romley series| +
-|  |32x8GB 240-Pin DDR3 1600 MHz (64gb/node memory, 16gb/gpu, max 256gb)| +
-|  |4x1TB 7200RPM, 16xNVIDIA Tesla K20 8 GB GPUs (4/node), 1CPU-2GPU ratio| +
-|  |2x10/100/1000 NIC, Dedicated IPMI Port, 4x PCIE 3.0 x16 Slots| +
-|  |4xConnectX-2 VPI adapter card, Single-Port, QDR 40Gb/s| +
-|  |4x1800W Redundant Power Supplies| +
-|  Network|1x Mellanox InfiniBand QDR Switch (8 ports)& HCAs (single port) + 7' cables| +
-|  |1x 1U 16 Port Rackmount Switch, 10/100/1000, Unmanaged (+ 7' cables)| +
-|  Power|2xPDU, Basic, 1U, 30A, 208V, (10) C13, Requires 1x L6-30 Power Outlet Per PDU| +
-|  Software| CentOS, Bright Cluster Management (1 year support)| +
-|  | Amber12 (cluster install), Lammps (shared filesystem), (Barracuda for weirlab?)| +
-|  Warranty|3 Year Parts and Labor (EC technical support?)|  +
-|  GPU Teraflops|18.72 double, 56.32 single| +
-|  Quote|<html><!-- $93,600 + S&H --></html>Arrived| +
- +
-  * Lets make this the "benchmark option" based on double precision +
-  * In order to match this with Xeon Phis we'd need 18 of them (probably 5 4U trays) +
- +
-  * This is the (newest) simcluster design (that can be tested starting Jan 2013) +
-    * 24U cabinet +
-  * We could deprecate 50% of bss24 queue freeing two L6-30 connectors +
-  * Spare parts: +
-    * Add another HCA card to greentail and connect to Mellanox switch (long cable) +
-      * also isolates GPU traffic from other clusters +
-    * 1 8-port switch, 4 HCA cards, 4 long cables (for petal/swallow tails plus spare) +
-  * New head node +
-    * First let EC install Bright/Openlava (64 CPU cores implies 64 job slots) +
-      * 16 GPUs implies 16x2,500 or 40,000 cuda cores (625 per job slot on average) +
-    * Use as standalone cluster or move GPU queue to greentail +
-    * If so, turn this head node into a 16 job slot ram heavy compute node?  +
-      * 256-512gb (Order?) +
-      * add local storage? (up to 10 1or2 TB disks) +
-  * Compute nodes +
-    *  add local storage? (up to 10 1or2 TB disks) +
-  * Bright supports openlava and GPU monitoring (get installed)  +
-    * [[http://www.brightcomputing.com/Linux-Cluster-Workload-Management.php]] +
-    * [[http://www.brightcomputing.com/NVIDIA-GPU-Cluster-Management-Monitoring.php]] +
-  * EC software install +
-    * sander, sander.MPI, pmemd, pmemd.cuda (single GPU version), pmemd.cuda.MPI (the multi-GPU version) +
-    * NVIDIA Toolkit v4.2. Please note that v5.0 is NOT currently supported +
-    * MVAPICH2 V1.8 or later / MPICH2 v1.4p1 or later recommended, OpenMPI is NOT recommended.) +
-    * make sure they do not clean source, analyze how they compiled +
-    * which compiler will they use? which MPI <del>(prefer OpenMPI, have wrapper script for that)</del> +
- +
-==== ConfCall & Quote: HP ==== +
- +
-HP 19nov12: meeting notes +
- +
-  * HP ProLiant SL270s Generation 8 (Gen8); 4U half width with 2 CPUs + 8 (max) GPUs +
-    * The s6500 Chassis is 4U tray holding two S270s servers +
-  * max 8 GPUs (20,000 cuda cores) + 2 CPUs (total 16 cores), dual drives, 256gb max   +
-    * K20 availability will be confirmed by Charlie +
-  * power +
-    * Charlie will crunch numbers of existing HPC and assess if we can use the current rack +
-    * otherwise a stand alone half rack solution +
-  * <del>one IB cable to Voltaire per chassis?</del> get new FDR infiniband switch, period. +
-    * connect greentail with additional HCA card, or voltaire to voltaire? +
-  * our software compilation problem, huge +
-    * but they have great connections with Nvidia for compilation help (how to qualify that?) +
-  * CMU for GPU monitoring, 3-rendering of what GPU is doing +
-  * This SL270s can also support up to 8 Xeon Phi coprocessors +
-    * but expect very lengthy delays, Intel is not ready for delivery (1 Phi = 1 double teraflop) +
- +
-     +
- +
- +
-**HP Quote** +
- +
-[[http://h18004.www1.hp.com/products/quickspecs/14405_div/14405_div.HTML]] +
- +
-  * <del>First unit, single tray in chassis</del> +
-  * This hardware can be tested at ExxactCorp so single tray purchase for testing not a requirement +
- +
-  * 2 chassis in 8U + 4 SL250s + each with 8 GPUs would be a massive GPU cruncher +
-    * 8 CPUs, 32 GPUs = 64 cpu cores and 80,000 cuda cores (avg 1,250cuda/core) +
-    * peak performance: 37.44 double, 112.64 single precision (twice the "benchmark option") +
-  * 1 chassis in 4U + 2 Sl250s + each with * GPUs would the "benchmark option"  +
- +
-^  Topic^Description  ^ +
-|  General| 6 CPUs (total 48 cores), 18 GPUs (45,000 cuda cores), 64 gb ram/node, no head node| +
-|  Head Node|None| +
-|  Chassis| 2xs6500 Chassis (4U) can each hold 2 half-width SL250s(gen8, 4U) servers, rackmounted, 4x1200W power supplies, 1x4U rack blank| +
-|  Nodes| 3xSL250s(gen8), 3x2xXeon E5-2650 2.0 Ghz 20MB Cache 8 cores (total 16 cores/node)), Romley series| +
-|  |3x16x8GB 240-Pin DDR3 1600 MHz (64gb/node, 10+ gb/gpu, max 256gb)| +
-|  |3x2x500GB 7200RPM, 3x6xNVIDIA Tesla K20 5 GB GPUs (5 gpu/node), 1CPU-to-3GPU ratio| +
-|  |3x2x10/100/1000 NIC, Dedicated IPMI Port, 3x8x PCIE 3.0 x16 Slots (GPU), 3x2x PCIE 3.0 x8| +
-|  |3x2xIB interconnect, QDR 40Gb/s, FlexibleLOM goes into PCI3x8 slot| +
-|  |chassis supplied power; 3x1x one PDU power cord (416151-B21)? - see below| +
-|  Network|1xVoltaire QDR 36-port infiniband 40 Gb/s switch, + 6x 5M QSFP IB cables| +
-|  |No ethernet switch, 17x 7' CAT5 RJ45 cables| +
-|  Power|rack PDU ready, what is 1x HP 40A HV Core Only Corded PDU???| +
-|  Software| RHEL, CMU GPU enabled (1 year support) - not on quote???| +
-|  Warranty|3 Year Parts and Labor (HP technical support?)|  +
-|  GPU Teraflops|21.06 double, 63.36 single| +
-|  Quote|<html><!-- $128,370, for a 1x6500+2xSl250 setup estimate is $95,170 --></html>Arrived (S&H and insurance?)| +
- +
- +
-  * To compare with “benchmark option” price wise; 37% higher (25% less CPU cores) +
-  * To compare with “benchmark option” performance; 12.5% higher (double precision peak) +
- +
-  * When quote is reduced to 1x s6500 chassis and 2x SL250s: +
-    * To compare with “benchmark option” price wise; 1.6% higher (50% less CPU cores) +
-    * To compare with “benchmark option” performance; 25% lower (double precision peak) +
- +
-  * HP on site install +
-  * we have 9U in HP rack available (1U for new switch) +
-    * L6-30 7,500 Watts x3 PDUs (non-UPS) = 22,500 Watts - HP cluster 10,600 Watts +
-    * leaves 11,898 Watts, should be sufficient for 4 SL270s(redundant power supplies) +
-  * new infiniband switch, isolates GPU cluster traffic from rest of HPC +
-    * 36 port IB switch overkill +
-    * still need IB connection greentail to new switch (home dirs IPoIB) +
-  * 1 TB local storage per node +
-  * our software install problem, so is the 12.5% worth it? (with 3 trays) +
- +
-  +
-==== ConfCall & Quote: AX ==== +
- +
-  * Cluster management is ROCKS (we'll pass) +
-  * No scheduler (that's OK, we'll use OpenLava) +
-  * They do **not** install software, only operating system and +
-  * CUDA driver setup and installation +
- +
-**AX Quote** +
- +
-[[http://www.amax.com/hpc/productdetail.asp?product_id=simcluster]] Fremont, CA +
- +
-^  Topic^Description  ^ +
-|  General| 8 CPUs (48 cores), 12 GPUs (30,000 cuda cores), 64 gb ram/node, plus head node| +
-|  Head Node|1x1U Rackmount System, 2x Intel Xeon E5-2620 2.0GHz (12 cores total)| +
-|  |64GB DDR3 1333MHz (max 256gb), 2x10/100/1000 NIC, 2x PCIe x16 Full| +
-|  |2x1TB (Raid 1) 7200RPM, InfiniBand  adapter card, Single-Port, QSFP 40Gb/s| +
-|  |???w Power Supply, CentOS| +
-|  Nodes|4x1U, 4x2xIntel Xeon E5-2650 2.0GHz, with 6 cores (12cores/node) Romley series| +
-|  |4x96GB 240-Pin DDR3 1600 MHz (96gb/node memory, 8gb/gpu, max 256gb)| +
-|  |4x1TB 7200RPM, 12xNVIDIA Tesla K20 8 GB GPUs (3/node), 1CPU-1.5GPU ratio| +
-|  |2x10/100/1000 NIC, Dedicated IPMI Port, 4x PCIE 3.0 x16 Slots| +
-|  |4xInfiniband adapter card, Single-Port, QSFP 40Gb/s| +
-|  |4x??00W Redundant Power Supplies| +
-|  Network|1x Infiniband Switch (18 ports)& HCAs (single port) + ?' cables| +
-|  |1x 1U 24 Port Rackmount Switch, 10/100/1000, Unmanaged (+ ?' cables)| +
-|  Power|there are 3 rack PDUs? What are the connectors, L6-30? | +
-|  Software| CUDA only| +
-|  Warranty|3 Year Parts and Labor (AX technical support?)|  +
-|  GPU Teraflops| 14.04 double,  42.96 single| +
-|  Quote|<html><!-- $73,965 (S&H $800 included) --></html>Arrived| +
- +
-  * 22U cabinet +
-  * Insurance during shipping is our problem (non-returnable) +
-  * To compare with "benchmark option" price wise; 21% lower (25% less CPU cores) +
-  * To compare with "benchmark option" performance; 22% lower (double precision peak) +
-  * If we go turnkey systems having software installed is huge +
- +
-==== ConfCall & Quote: MW ==== +
- +
-  * sells both individual racks and turn-key systems +
-    * racks are 4U with 2 CPUs and 8 GPUs, 2200 Watts, K20X GPUs  +
-    * turn-key units are per customer specifications  +
-  * they will install **all** software components (if license keys are provided) +
-    * includes CUDA drivers and setup, Amber (pmemd.cuda & pmemd.cuda.MPI, check) and Lammps +
-    * but also Matlab and Mathematica if needed (wow!) +
-  * standard 2 year warranty though (no biggie)  +
- +
- +
-**MW Quote**  +
- +
-[[http://www.microway.com/tesla/clusters.html]] Plymouth, MA :!:+
  
 +Notes 04/01/2012 ConfCall
  
-^  Topic^Description  ^ +  * Applications drive the CPU-to-GPU ratio and most will be 1-to-1, certainly not larger then 1-to-3 
-|  General| 8 CPUs (64 cores), 16 GPUs (40,000 cuda cores), 32 gb ram/node, plus head node| +  * Users did not share GPUs but could obtain more than one, always on same node 
-|  Head Node|1x2U Rackmount System, 2xXeon E5-2650 2.0 Ghz 20MB Cache 8 cores| +  * Experimental setup with 36 gb/node, dual 8 core chips 
-|  |8x4GB 240-Pin DDR3 1600 MHz ECC (max 512gb), 2x10/100/1000 NIC, 3x PCIe x16 Full, 3x PCIe x8| +  * Nothing larger than that memory wise as CPU and GPU HPC work environments were not mixed 
-|  |2x1TB 7200RPM (Raid 1) + 6x2TB (Raid 6), Areca Raid Controller| +  * No raw code development 
-|  |Low profile graphics card, ConnectX-3 VPI adapter card, Single-Port, FDR 56Gb/s| +  * Speed ups was hard to tell 
-|  |740w Power Supply 1+1 redundant| +  * PGI Accelerator was used because it is needed with any Fortran code (Note!) 
-|  Nodes|4x1U Rackmountable Chassis, 4x2 Xeon E5-2650 2.0 Ghz 20MB Cache 8 cores (16/node), Sandy Bridge series| +  * Double precision was most important in scientific applications 
-|  |4x8x4GB 240-Pin DDR3 1600 MHz (32gb/node memory, 8gb/gpu, max 256gb)| +  * MPI flavor was OpenMPI, and others (including MVApich) showed no advantages 
-|  |4x1x120GB SSD 7200RPM, 4x4xNVIDIA Tesla K20 5 GB GPUs (4/node), 1CPU-2GPU ratio| +  * Book:  Programming Massively Parallel Processors, Second Edition:  
-|  |2x10/100/1000 NIC, Dedicated IPMI Port, 4x PCIE 3.0 x16 Slots| +    * A Hands-on Approach by David B. Kirk and Wen-mei W. Hwu (Dec 28, 2012)  
-|  |4xConnectX-3 VPI adapter card, Single-Port, FDR 56Gb/s| +    * Has examples of how to expose GPUs across nodes
-|  |4x1800W (non) Redundant Power Supplies| +
-|  Network|1x Mellanox InfiniBand FDR Switch (36 ports)& HCAs (single port) + 3m cable FDR to existing Voltaire switch| +
-|  |1x 1U 48 Port Rackmount Switch, 10/100/1000, Unmanaged (cables)| +
-|Rack  |1x42U rack with power distribution +
-|  Power|2xPDU, Basic rack, 30A, 208V, Requires 1x L6-30 Power Outlet Per PDU (NEMA L6-30P)| +
-|  Software| CentOS, Bright Cluster Management (1 year support), MVAPich, OpenMPI, CUDA 5| +
-|  | scheduler and gnu compilers installed and configured| +
-|  | Amber12, Lammps, Barracuda (for weirlab?), and others if desired ...bought through MW| +
-|  Warranty|3 Year Parts and Labor (lifetime technical support)|  +
-|  GPU Teraflops|18.72 double, 56.32 single| +
-|  Quote|<html><!-- estimated at $95,800 --></html>Arrived, includes S&H and Insurance| +
-|Upgrades  |Cluster pre-installation service  | +
-|  | 5x2 E5-2660 2.20 Ghz 8 core CPUs| +
-|  | 5x upgrade to 64 GB per node|+
  
-  * At full load 5,900 Watts and 20,131 BTUs/hour +==== GPU Specs ====
  
-  * 2% more expansive than "benchmark option" (as described above with Upgrades), else identical 
-    * But a new rack (advantageous for data center) 
-    * With lifetime technical support 
-    * solid state drives on compute nodes 
-    * 12 TB local storage 
  
-Then+**[[cluster:110|Moved to separate page]]**
  
-  * 36 port FDR switch replace with 8 port QDR switch for savings (40 vs 56 Gbps) 
-    * and all server adapter cards to QDR (with one hook up to existing Voltaire switch) 
-  * Expand memory footprint 
-    * Go to 124 GB memory/noe to beef up the CPU HPC side of things 
-    * 16 cpu cores/nodes minus 4 cpu/gpu cores/node = 12 cpu cores using 104gb which is about 8 GB/cpu core 
-  * Online testing available (K20, do this) 
-    * then decide on PGI compiler at purchase time 
-    * maybe all Lapack libraries too 
-  * Make the head node a compute node (in/for the future and beef it up too, 256 GB ram?) 
-  * Remove the 6x2TB disk space and add an entry level Infiniband/Lustre solution 
-    * 2U, 8 drives (SAS/SATA/SSD) up to 32 TB - get 10K drives? 
-  * Spare parts 
-    * 8 port switch, HCAs and cables, drives ... 
-    * or get 5 years total warranty 
  
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cluster/107.1356114018.txt.gz · Last modified: 2012/12/21 13:20 by hmeij

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