The vast majority of companies will not own their own data centers in the fullness of time. All that computing is moving to the cloud. This space is going to be a high-volume, relatively low-margin business.
The utility model of computing – computing resources delivered over the network in much the same way that electricity or telephone service reaches our homes and offices today – makes more sense than ever.
The interesting thing about cloud computing is that we’ve redefined cloud computing to include everything that we already do.
In 2000, when my partner Ben Horowitz was CEO of the first cloud computing company, Loudcloud, the cost of a customer running a basic Internet application was approximately $150,000 a month.
The spread of information technology and the long-term decline in the cost of computing power have created opportunities that simply did not exist before. Airbnb, for example, could not have existed before the Internet.
As devices continue to shrink and voice recognition and other kinds of alternative user-interfaces become more practical, it is going to change how we interact with computing devices. They may fade into the background and just be around, allowing us to talk to them just as we would some other trusted companion.
The widespread adoption of broadband and the continued advances in personal computing technology are finally making it possible for the collective creation of an online world on a realistic scale.
Computing is no more about work – it’s all about making work happen with computers.
Computers are really, basically, computing elements and a lot of memory. They are pretty easy to understand, as compared to the brain, which was designed by evolution.
While I admire the insights of many of the people in the world of computing, I get this cold feeling that I speak a different language.
My father, an entrepreneur but hardly a technologist, was looking to buy a computer to ‘automate’ our family business. In 1981, he characteristically dove head first into computing and bought an Osborne I.
What we’re really trying to do is have heterogeneous systems really become the foundation of our computing going forward. And that’s the idea that you make every processor and every accelerator a peer processor.
Accelerating technology innovations such as ubiquitous sensors, cheap computing power, and 5G networks will open entirely new opportunities and challenges.
A bit, the smallest unit of information, the fundamental particle of information theory, is a choice, yes or no, on or off. It’s a choice that you can embody in electrical circuits, and it is thanks to that that we have all this ubiquitous computing.
There’s been a big evolution since the days of personal computing. People had a concept of one computing device per family or maybe per person. We’ve clearly evolved to computing devices becoming more personal.
In Google data centers, our energy usage throughout the year for all our computing needs is 100 percent renewable.
As far as solving India’s problems with technology is concerned, I think there are some wrong assumptions in making computing work at the grassroots. We need to go beyond the notion of technology being all about computers.
Data is going to be dynamic… and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.
Innovation will come from an ecosystem of pervasive computing so natural and all-encompassing that it disappears into the background.
Items of interest will be located, identified, monitored, and remotely controlled through technologies such as radio-frequency identification, sensor networks, tiny embedded servers, and energy harvesters – all connected to the next-generation internet using abundant, low-cost, and high-power computing.
Essentially, we’re always trying to reduce latency. As you try to reduce the latency of the experience, you can only get it down so far before we start running into the limitations of game engines, computing, the intensity of the experience you’re trying to compute.
Computing is a big segment. It’s more than just mobile devices or PCs and laptops.
Being at NASA and having the access to both computing capability and satellite observation capability is kind of the ideal research situation to try to understand global climate change.
I think it’s fair to say that the age of traditional computing is dead.
Gene therapy technology is much like computing technology. We had to build the super computer which cost $8 million in 1960. Now everyone has technologies that work predictably and at a cost the average person can afford.
Many jobs at Google require math, computing, and coding skills, so if your good grades truly reflect skills in those areas that you can apply, it would be an advantage. But Google has its eyes on much more.
The accumulated knowledge of materials, computing, electromagnetism, product design, and all the rest that we’ve learned over the last several centuries converts a few ounces of raw materials worth mere pennies into a device with more computing power than the entire planet possessed fifty years ago.
The Internet creates as well as destroys. Social networks, search advertising, and cloud computing are multibillion dollar industries that didn’t exist 10 years ago. They are products of the same force that has rendered the Postal Service’s core business obsolete.
One reason you should not use web applications to do your computing is that you lose control.
The purpose of computing is insight, not numbers.
GIS is being influenced by and integrating with all kinds of new innovations such as faster computing, big data, the cloud, smart devices, and distributed processing.
In computing, turning the obvious into the useful is a living definition of the word ‘frustration’.
By flattening time and space, social computing and business is unlocking credible potential within business. For example, individuals and organizations that weren’t connected before are now connected together.
Every kid coming out of Harvard, every kid coming out of school now thinks he can be the next Mark Zuckerberg, and with these new technologies like cloud computing, he actually has a shot.
I have to admit it: I’m not a huge fan of the cloud computing concept.
Growing new limbs, copying internal organs like a Xerox machine, exponential increases in computing power, better eyes and ears – I could read stories like this endlessly.
What amplifies the transformational power ahead is the confluence of two major technological currents today: the universal access to mobile computing and the pervasive use of social networks.
There are seven billion people in the world. And I think phones are the first time most people will have access to a modern computing device. With Android, we want to enable that for people.
When I think about strong innovations in term of automation, robotics, cognitive computing, and artificial intelligence, they are coming a lot from the Philippines and from India as well.
If we don’t figure out a way to have secure, connected healthcare, or connectivity and computing, we won’t have that industry develop.
The immediacy of the mobile changes it from what we’re accustomed to in the personal computing world to something that’s instantaneous… What’s interesting and powerful about the mobile environment is that it’s connected to services on the Internet. This augments both platforms.
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