Check out all the on-demand sessions from the Intelligent Security Summit here<\/a><\/em>.<\/p>\n

\n<\/div>\n
There is a lot of hype and activity around generative AI models, especially in the short time since ChatGPT<\/a> first launched.<\/p>\n
ChatGPT \u2014 and the GPT-3 large language model (LLM)<\/a> it is based on \u2014 have been trained on public data, which serves as a great foundation for consumer applications, but lacks the customization, privacy and security that an enterprise requires. That\u2019s where Rodrigo Liang, cofounder and CEO of SambaNova Systems<\/a>, is looking to make a difference with the launch today of his company\u2019s SambaNova Suite, which aims to help enterprises build and deploy customized generative AI<\/a> models.<\/p>\n
>>Follow VentureBeat\u2019s ongoing generative AI<\/a> coverage<<<\/em><\/strong><\/p>\n
SambaNova got its start in 2017 focused largely on hardware for AI, raising a staggering<\/a> $676 million in April 2021 to support its efforts. In recent years, the company has expanded beyond its initial focus on hardware to also build out support for both machine learning\u2013training and inference on different models, with its dataflow-as-a-service<\/a> offering. The new SambaNova Suite expands on the dataflow service with a collection of capabilities that enables organizations to customize both open-source and proprietary generative AI models to meet their specific requirements.\u00a0<\/p>\n
<\/p>\n
\n
Event<\/h3>\n
\n
Intelligent Security Summit On-Demand<\/span><\/p>\n
Learn the critical role of AI & ML in cybersecurity and industry specific case studies. Watch on-demand sessions today.<\/span><\/p>\n<\/div>\n

\n Watch Here <\/a>\n <\/p>\n<\/div>\n
<\/body><\/p>\n
\u201cThe focus of SambaNova is how to bring generative AI capabilities more to the enterprise,\u201d Liang told VentureBeat. \u201cThere are certain things that you need for enterprises in order to be able to be successful, and we\u2019re doing that today for them.\u201d<\/p>\n
Nvidia isn\u2019t the only AI hardware vendor for generative AI<\/h2>\n
There is a growing list of vendors building on top of generative AI models to help enable enterprise use cases.<\/p>\n
Content creation is a particularly vibrant field of enterprise generative AI customization. Jasper AI<\/a>, for example, recently announced its Jasper for Business<\/a> offering designed to help customize AI for a specific business. Typeface<\/a> emerged from stealth on Monday with its enterprise content creation platform for generative AI, alongside $65 million in funding. Quantive<\/a> last week announced its foray into generative AI, helping organizations with their business strategy.<\/p>\n
SambaNova\u2019s key differentiator from others in the generative AI space is that it has its own hardware to help optimize enterprise use cases. Rather than just relying on Nvidia GPUs like many in the industry, SambaNova has developed its own custom silicon that is optimized for both machine learning\u2013training and inference.<\/p>\n
\u201cWhat we\u2019ve done is \u2026 take the AI software stack that people really want to use with PyTorch<\/a>, TensorFlow<\/a> and complex models like GPT, and we bring them down all the way to the silicon,\u201d Liang said. \u201cWe have silicon that\u2019s actually been custom built for running these large models for the enterprise, versus the other way around.\u201d<\/p>\n
The team behind SambaNova, including Liang, has a background in building microprocessors for Sun Microsystems and Oracle. Liang said that SambaNova has created a microprocessor for AI that is extremely power efficient and performative in order to run these enterprise generative AI applications.<\/p>\n
Liang emphasized that the custom silicon also enables a continuous training and inference capability, such that the data that feeds the generative AI models can be kept up to date.<\/p>\n
\u201cIn business, you need real-time information and so you do not want your models to actually lag behind,\u201d he said.<\/p>\n
Privacy, responsible AI and the enterprise<\/h2>\n
With the new SambaNova Suite, Liang said that his company is looking to solve the primary challenges that enterprises have with generative AI. Among those challenges are customization for a company\u2019s specific data, as well the ability to limit bias and provide responsible and explainable AI.<\/p>\n
With its platform, SambaNova enables an organization to run customized training in a private environment on any data the organization has, including unstructured data that might be found in a company\u2019s Slack discussion channels. Going a step further, Liang said the platform provides transparency to organizations for how a given AI model actually works.<\/p>\n
\u201cSambaNova has been built around being able to give you exposure of exactly how the model arrived at a certain conclusion,\u201d Liang said. \u201cWe store all the processes around how we train and fine-tune the model, so that when an auditor comes or somebody wants to check for bias or why something happened a certain way, you can actually work through the flow and verify that your results were done properly.\u201d<\/p>\n
VentureBeat’s mission<\/strong> is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.<\/a><\/p>\n
\t\t\t\t<\/html><\/div>\n<\/p><\/div>\n
Read More<\/a>
\n Sean Michael Kerner<\/p>\n","protected":false},"excerpt":{"rendered":"
February 28, 2023 3:43 PM Check out all the on-demand sessions from the Intelligent Security Summit here. There is a lot of hype and activity around generative AI models, especially in the short time since ChatGPT first launched. ChatGPT \u2014 and the GPT-3 large language model (LLM) it is based on \u2014 have been trained<\/p>\n","protected":false},"author":1,"featured_media":613177,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[103125,2483,46],"tags":[],"class_list":{"0":"post-613176","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-customizing","8":"category-models","9":"category-technology"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/613176","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=613176"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/613176\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/613177"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=613176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=613176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=613176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

Event<\/h3>\n\nIntelligent Security Summit On-Demand<\/span><\/p>\nLearn the critical role of AI & ML in cybersecurity and industry specific case studies. Watch on-demand sessions today.<\/span><\/p>\n<\/div>\n