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Nvidia Launches New Software Tools to Help Enterprises Integrate AI Services

Nvidia has introduced software that makes it easier for businesses to integrate AI systems into their businesses, expanding the chipmaker's capabilities.。

Nvidia 新软件工具帮助企业集成AI服务

On March 18, Nvidia (NASDAQ: NVDA) launched a software that makes it easier for companies to integrate artificial intelligence systems into their businesses, expanding the chipmaker's capabilities.。Joel Hellermark, CEO of business AI assistant producer Sana, said the launch highlighted Nvidia's driving force in AI application execution。

Nvidia is best known for producing hardware for training basic models, such as OpenAI's GPT-4。Training is mainly performed by organizations focused on artificial intelligence and major technologies, and the training process consumes a lot of data.。

Businesses of all sizes are now struggling to incorporate these basic concepts into their businesses, with new tools designed to make it easier to change and run various AI models on NVIDIA hardware.。

Companies like Google, Doordash and Uber can do all this on their own, but now that Nvidia has more GPUs available, they need to enable other organizations to get value out of GPUs, and less technologically advanced companies can leverage these "packaged recipes" to get their systems up and running.。

For example, ServiceNow (NYSE: NOW), which provides software for large enterprise technical support personnel, says it leverages Nvidia's resources to build a "joint driver" to help solve enterprise IT problems.。

Nvidia's new tools have some well-known partners: Microsoft (NASDAQ: MSFT), Alphabet (NASDAQ: GOOGL), Google and Amazon will provide these tools as part of their cloud computing services, while Google, Cohere, Meta (NASDAQ: META) and Mistral will provide models。However, Nvidia's financial backer, Microsoft, and the two main providers of the underlying model, OpenAI and Anthropoic, were notably absent from the list.。

NVIDIA's tool represents a possible revenue boost for chipmakers - the tool is part of its existing software suite, which costs $4,500 per NVIDIA chip per year when used in private data centers, compared to $1 per hour in cloud data centers.。

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