The buyers include Bain Capital, the Blackstone Group, Goldman Sachs Capital Partners, Kohlberg Kravis Roberts, Providence Equity Partners and Texas Pacific Group. The group is led by Silver Lake Partners. The deal is a leveraged buyout – Sungard will be taken private and its shares removed from Wall Street.
RTTNews – Private equity firm Providence Equity Partners, Inc. agreed Friday to take educational software and systems provider Blackboard, Inc. (BBBB: News ) private for $45 per share in an all-cash deal of $1.64 billion.
It would appear now that Providence Equity Partners owns two giants in the Higher Ed outsourcing industry Sungard and Blackboard. What does this mean? Will there be consolidation where there is overlap between the two companies? Will there be attempts to steal customers or upsell each other’s products?
Google Maps gets map downloads in Labs betaAfter a brief unofficial discovery, Google on Thursday confirmed that Google Maps 5.7 has the first experimental support for local maps downloads.
Google Maps for Android is starting to show a level of maturity only seen on dedicated GPS units. True, there still is no routing feature (you need access to Google’s servers for that functionality) But you at least a downloaded map that you can zoom out and in on to get a view without incurring heavy data charges. Yes, overseas you may rack up some big charges as you navigate live maps via the Google Maps app on Android. This is now solved partially by downloading in advance the immediate area you will be visiting (within a few miles radius). It’s an incremental improvement to be sure and makes Android phones a little more self sufficient without making you regret the data charges.
Apple on the other hand is behind. Hands down they are kind of letting the 3rd party gps development go to folks like Navigon and TomTom who both require somewhat hefty fees to license their downloaded content. Apple’s Maps doesn’t compare to Navigon, TomTom, much less Google for actual usefulness in a wide range of situations. And Apple isn’t currently using the downloadable vector based maps introduced with this revision of Google Maps for Android vers. 5.7. So it will struggle with large jpeg images as you pan and scan around the map to find your location.
An original SM10000 server with 512 cores and 1TB of main memory cost $139,000. The bump up to the 64-bit Atom N570 for 512 cores and the same 1TB of memory boosted the price to $165,000. A 768-core, 1.5TB machine using the new 64HD cards will run you $237,000. Thats 50 per cent more oomph and memory for 43.6 per cent more money. ®
SeaMicro continues to pump out the jams releasing another updated chassis in less than a year. There is now a grand total of 768 processor cores jammed in that 10U high box. Which leads me to believe they have just eclipsed the compute per rack unit of the Tilera and Calxeda massively parallel cloud servers in a box. But that would wrong because Calxeda is making a 2U server rack unit hold 120-4 core ARM cpus. So that gives you a grand total of 480 in just 2 rack units alone. Multiply that by 5 and you get 2400 cores in a 10U rack serving. So advantage Calxeda in total core count, however lets also consider software too. Atom being the cpu that Seamicro has chosen all along is an intel architecture chip and an x64 architecture at that. It is the best of both worlds for anyone who already had a big investment in Intel binary compatible OSes and applications. It is most often the software and it’s legacy pieces that drive the choice of which processor goes into your data cloud.
Anyone who had clean slate to start from might be able to choose between Calxeda versus Seamicro for their applications and infrastructure. And if density/thermal design point per rack unit is very important Calxeda too will suit your needs I would think. But who knows? Maybe your workflow isn’t as massively parallel as a Calxeda server and you might have a much lower implementation threshold getting started on an Intel system, so again advantage Seamicro. A real industry analyst would look at these two competing companies as complimentary, different architectures for different workflows.
Great set of comments along with a very good description of advantages of using NoSQL in a web application. There seems to be quite a bit of philosophical differences over whether or not NoSQL needs to be chosen at the earliest stages of ANY project. But Jeremy’s comments more or less prove, you pick the right tool for the right job, ‘Nuff Said.
Jeremy Zawodny: I found myself reading NoSQL is a Premature Optimization a few minutes ago and threw up in my mouth a little. That article is so far off base that I’m not even sure where to start, so I guess I’ll go in order. In fact, I would argue that starting with NoSQL because you think you might someday have enough traffic and scale to warrant it is a premature optimization, and as such, should be avoided by smaller and even medium sized organizations. You … Read More
Just a very brief look at a couple of patent filings by Apple with some descriptions of potential applications. They seem to want to use it for navigation purposes using the onboard video camera. One half the screen will use the live video feed, the other half is a ‘virtual’ rendition of that scene in 3D to allow you to find a path or maybe a parking space in between all those buildings.
The second filing mentions a see-through screen whose opacity can be regulated by the user. The information display will take precedence over the image seen through the LCD panel. It will default to totally opaque using no voltage whatsoever (In Plane switching design for the LCD).
However the most intriguing part of the story as told by AppleInsider is the use of sensors on the device to determine angle, direction, bearing to then send over the network. Why the network? Well the whole rendering of the 3D scene as described in first patent filing is done somewhere in the cloud and spit back to the iOS device. No onboard 3D rendering needed or at least not at that level of detail. Maybe those datacenters in North Carolina are really cloud based 3D rendering farms?
While everyone in the IT racket is trying to figure out how many Intel Xeon and Atom chips can be replaced by ARM processors, Steve Furber, the main designer of the 32-bit ARM RISC processor at Acorn in the 1980s and now the ICL professor of engineering at the University of Manchester, is asking a different question, and that is: how many neurons can an ARM chip simulate?
The phrase reminds me a bit of an old TV commercial that would air during the Saturday cartoons. Tootsie Roll brand lollipops had a center made out of Tootsie Roll. The challenge was to determine how many licks does it take to get to the center of a Tootsie Roll Pop? The answer was, “The World May Never Know”. And so it goes for the simulations large scale and otherwise of the human brain.
I remember also reading Stewart Brand’s 1985 book about the MIT Media Lab and their installation of a brand new multi-processor super computer called The Connection Machine (TCM). Danny Hillis was the designer and author of the original concept of stringing together a series of small one bit computer cores to act like ‘neurons’ in a larger array of cpus. The scale was designed to top out at around 65,535 (2^16). At the time MIT Media Lab only had the machine filled up 1/4 of the way but was attempting to do useful work with it at that size. Hillis spun out of MIT to create a startup company called Thinking Machines (to reflect the neuron style architecture he had pursued as a grad student). In fact all of Hillis’s ideas stemmed from his research that led up to the original Connection Machine Mark. 1.
Spring forward to today and the sudden appearance of massively parallel, low-power servers like Calxeda using ARM chips, Qanta Sq-2 using Tilera chips (also an MIT spin out). Similarly the Seamicro SM-10000×64 which uses Intel Atom chips in large scale, large quantity. And Seamicro is making sales TODAY. It almost seems like a stereotypical case of an idea being way ahead of its time. So recognize the opportunity because now the person directly responsible for designing the ARM chip is attacking that same problem Danny Hillis was all those years ago.
Personally I would like to see Hillis join in some way with this program not as Principal Investigator but may a background consultant. Nothing wrong with a few more eyes on the preliminary designs. Especially with Hillis’s background in programming those old mega-scale computers. That is the true black art of trying to do a brain simulator on this scale. Steve Furber might just be able to make lightning strike twice (once for Acorn/ARM cpus and once more for simulating the brain in silicon).
I too am a big believer in RSS. And while I am dipping toes into Facebook and Twitter the bulk of my consumption goes into the big Blogroll I’ve amassed and refined going back to Radio Userland days in 2002.
When I left the pageview business I walked away from an engine that had, for many years, manufactured an audience for my writing. Four years on I’m still adjusting to the change. I always used to cringe when publishers talked about using content to drive traffic. Of course when the traffic was being herded my way I loved the attention. And when it wasn’t I felt — still feel — its absence. There are plenty of things I don’t miss, though. Among t … Read More
SeaMicro has been peddling its SM10000-64 micro server, based on Intels dual-core, 64-bit Atom N570 processor and cramming 256 of these chips into a 10U chassis. . .
. . . The SM10000-64 is not so much a micro server as a complete data center in a box, designed for low power consumption and loosely coupled parallel processing, such as Hadoop or Memcached, or small monolithic workloads, like Web servers.
While it is not always easy to illustrate the cost/benefit and Return on Investment on a lower power box like the Seamicro, running it head to head on a similar workload with a bunch of off the shelf Xeon boxes really shows the difference. The calculation of the benefit is critical too. What do you measure? Is it speed? Is it speed per transaction? Is it total volume allowed through? Or is it cost per unit transaction within a set amount of transactions? You’re getting closer with that last one. The test setup used a set number of transaction needing to be done in a set period of time. The benchmark then measure total power dissipation to accomplish that number of transactions in the set amount of time. SeaMicro came away the winner in unit cost per transaction in power terms. While the Xeon based servers had huge excess speed and capacity the power dissipation put it pretty far into the higher cost per transaction category.
However it is very difficult to communicate this advantage that SeaMicro has over Intel. Future tests/benchmarks need to be constructed with clearly stated goals and criteria. Specifically if it can be communicated as a Case History of a particular problem that could be solved by either a SeaMicro server or a bunch of Intel boxes running Xeon cpus with big caches. Once that Case History is well described, then the two architectures are then put to work showing what the end goal is in clear terms (cost per transaction). Then and only then will SeaMicro communicate effectively how it does things different and how that can save money. Otherwise it’s too different to measure effectively versus a Intel Xeon based rack of servers.
Though the AR element is not particularly elegant, merely consisting of a blue dot superimposed on your cell phone screen that guides the user through Tokyo’s streets, we think it’s nevertheless a clever marketing gimmick.
Augmented Reality (AR) in the news this week being used for a marketing campaign in Tokyo JP. It’s mostly geared towards getting people out to visit bars and restaurants to collect points. Whoever gets enough points can cash them in for Chivas Regal memorabilia. But hey, it’s something I guess. I just wish the navigation interface was a little more sophisticated.
I also wonder how many different phones you can use as personal navigators to find the locations awarding points. Seems like GPS is an absolute requirement, but so is one that has a Foursquare or Livedoor client as well.
Cameron said in an interview posted on the ID conferences website last month that he was disappointed about the lack of an industry advocate championing what he has dubbed “user-centric identity”, which is about keeping various bits of an individuals online life totally separated.
CRM meet VRM, we want our Identity separated. This is one of the goals of Vendor Relationship Management as opposed to “Customer Relationship”. I want to share a set of very well defined details with Windows Live!, Facebook, Twitter, Google. But instead I exist as separate entities that they then try to aggregate and profile to learn more outside what I do on their respective WebApps. So if someone can champion my ability to control what I share with which online service all the better. If Microsoft understands this it is possible someone like Kim Cameron will be able to accomplish some big things with Windows Live! ID logins and profiles. Otherwise, this is just another attempt to capture web traffic into a commercial private Intraweb. I count Apple, Facebook and Google as Private Intraweb competitors.
Carpet Bomberz Inc. 