Banking And InsuranceCryptocurrencyDigital MarketingErpFood And BeveragesHealthcareLegalMarketing And AdvertisingMedia And EntertainmentMetals And MiningOil And GasRetailTelecom
Artificial IntelligenceBig DataCloudCyber SecurityE CommerceEducationGaming And VfxIT ServiceMobileNetworkingSAPScience And TechnologySecuritySoftwareStorage
CiscoDatabaseGoogleIBMJuniperM2MMicrosoftOracleRed Hat
CEO ReviewCompany Review

The Silicon Review Asia

Nvidia is all set to tap into big data space

Nvidia is all set to tap into big data space

Mark Patane, Nvidia ANZ country manager, has described that big data will be a trillion dollar business over the next few years. Patane believes graphic processing units (GPU) will be a key solution to helping commercial businesses get through analyzing their big data, and pointed out Nvidia has been working with the likes of Facebook and Google over the last two years to help them process their data.

“They came to us because they realize you can’t use your normal every day computers because this data is just too much. We’ve been working with them for a couple of years using GPU,” he said. Dr Jon Barker, Nvidia machine learning solutions architect lead, further explained businesses are increasingly tasked with figuring out how to efficiently process all the data they are collecting, highlighting there are 2.5 exabytes of digital data produced daily, and that data is expected to double every three years.

“Most of that data is not tabular, structured data; most of it is imagery, audio, and text. It’s obvious whether you’re trying to measure the pulse of society, to understand the sentiment of your brand, you’re trying to make trading decisions based on world events, or if you’re trying to develop smart robots to assist surgeons, or self-driving cards, this data will be the fuel of your applications,” he said. “The question is how we triage that velocity of data to understand the content, and the answer to that is we need machines that can see, that can hear, that can read, and that can reason at superhuman levels and superhuman pace.”

Patane believes the growth of big data will be an opportunity for Nvidia to widen its presence in the commercial market, beyond the current higher education and research field the company has long been providing GPU to. “Whether you’re Monash University, a big telco, Google, in health, a researcher — it’s got to be GPU,” he said. “The fundamental difference is that you can try and run data on non-GPU systems, but as soon as you hit the enter key and it starts doing algorithms that spinning wheel of death can take weeks before it comes back with an answer. With a GPU, you can do it a lot faster and the response will be in a matter of minutes.”


Pine Labs Reaffirms its Commitment to Indian Payments Space with Qfix Acquisition

HDFC Bank is Qfix's main distribution partner Pine Labs has announced that it has acquired Qfix, a Mumbai-based online payments startup. This acquisi...

Salesforce Expands into Thailand, Opens Office in Bangkok

Salesforce has announced permanent presence in Thailand by launching its new office in the country’s capital, Bangkok. The permanent presence wi...

GMLL is expected to soon add two more stores to its retail arm ‘Price Mantra’

Garment Mantra Lifestyle, a popular name in the Indian fashion retail segment, recently made an announcement that the company is expanding its retail ...

Tariff plans will cost higher from the next financial year as telecom companies are gearing up to increase rates

The ongoing Covid pandemic had significantly increased the number of mobile and internet users worldwide. The high amount of usage is expected to drop...