{"id":339994,"date":"2017-05-04T02:55:32","date_gmt":"2017-05-03T18:55:32","guid":{"rendered":"http:\/\/techcrunch.com\/?p=1484909"},"modified":"2017-05-04T02:55:32","modified_gmt":"2017-05-03T18:55:32","slug":"paperspace-launches-gpu-powered-virtual-machines-loaded-with-tools-for-data-scientists","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/paperspace-launches-gpu-powered-virtual-machines-loaded-with-tools-for-data-scientists\/","title":{"rendered":"Paperspace launches GPU-powered virtual machines loaded with tools for data scientists"},"content":{"rendered":"

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Not many companies would dare to fight with\u00a0Amazon, Microsoft and Google at the same time, but three-year-old Paperspace<\/a> thinks it can carve out a cloud computing niche by rolling out the red carpet for data scientists. Today it launched new GPU-powered virtual machines<\/a> that utilize Nvidia\u2019s Pascal cards. With pre-installed machine learning frameworks, Paperspace caters to the emerging market of prosumer and enthusiast data scientists.<\/p>\n

\u201cAmazon Web Services (AWS)\u00a0is amazing, but it\u2019s hard to get going,\u201d said Dillon Erb, co-founder of Paperspace.<\/p>\n

To make machine learning in the cloud more accessible, Paperspace offers users a familiar Linux desktop from within their\u00a0web browser. Anyone\u00a0can then use either a secure shell or a web-based terminal to implement code. And in addition to interface and hardware improvements, Paperspace aims to undercut on price by offering access to Pascal chips with\u00a02560 CUDA cores and 16GB of memory for just $0.65 per hour.<\/p>\n

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\u201cIn the last 18 months, we have seen a rise in people asking for GPUs,\u201d added Erb.<\/p>\n

In time, Paperspace will have to prove out its thesis about the size of the democratized\u00a0machine learning market. More than 50,000 machines have been launched by Paperspace users, indicating traction, but it\u2019s still very early days for the company.<\/p>\n

Machine learning as a service (MLaaS) startups have taken heat in recent months<\/a>. There are a number of reasons for this, but one of them is that\u00a0there\u2019s a mismatch between the market of highly technical engineers and products that simplify the development process for novices.<\/p>\n

To be clear, Paperspace is in a category of its own, aside from startups like Bonsai<\/a> and H20.ai<\/a>, but the metaphor is still appropriate. Existing cloud computing providers that are already embedded in enterprises will continue to move toward democratization \u2014 that doesn\u2019t guarantee whitespace for anyone else, especially\u00a0when you take into account the sheer cost of building and upgrading data centers.<\/p>\n

Y Combinator, NYU and Insight Data Science are early partners with Paperspace.\u00a0The new GPU-powered virtual machines will be used by Insight for its\u00a0professional training program. YC is also experimenting with the\u00a0streamlined system for use within its\u00a0new cohort of AI startups.\u00a0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\"\" Not many companies would dare to fight with Amazon, Microsoft and Google at the same time, but three-year-old Paperspace thinks it can carve out a cloud computing niche by rolling out the red carpet for data scientists. Today it launched new GPU-powered virtual machines that utilize Nvidia’s Pascal cards. Read More<\/a><\/p>\n

\n<\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a>\n<\/div>\n

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