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Jensen Huang, CEO of Nvidia, gave a keynote at the Computex trade show in Taiwan about transforming AI models with Nvidia NIM (Nvidia inference microservices) so that AI applications can be deployed within minutes rather than weeks.
He said the world’s world’s 28 million developers can now download Nvidia NIM — inference microservices that provide models as optimized containers — to deploy on clouds, data centers or workstations. It gives them the ability to easily build generative AI applications for copilots, chatbots and more, in minutes rather than weeks, he said.
These new generative AI applications are becoming increasingly complex and often utilize multiple models with different capabilities for generating text, images, video, speech and more. Nvidia NIM dramatically increases developer productivity by providing a simple, standardized way to add generative AI to their applications.
NIM also enables enterprises to maximize their infrastructure investments. For example, running Meta Llama 3-8B in a NIM produces up to three times more generative AI tokens on accelerated infrastructure than without NIM. This lets enterprises boost efficiency and use the same amount of compute infrastructure to generate more responses.
Lil Snack & GamesBeat
GamesBeat is excited to partner with Lil Snack to have customized games just for our audience! We know as gamers ourselves, this is an exciting way to engage through play with the GamesBeat content you have already come to love. Start playing games now!
Nearly 200 technology partners — including Cadence, Cloudera, Cohesity, DataStax, NetApp, Scale AI and Synopsys — are integrating NIM into their platforms to speed generative AI deployments for domain-specific applications, such as copilots, code assistants, digital human avatars and more. Hugging Face is now offering NIM — starting with Meta Llama 3.
“Every enterprise is looking to add generative AI to its operations, but not every enterprise has a dedicated team of AI researchers,” said Huang. “Integrated into platforms everywhere, accessible to developers everywhere, running everywhere — Nvidia NIM is helping the technology industryput generative AI in reach for every organization.”
Enterprises can deploy AI applications in production with NIM through the Nvidia AI Enterprise software platfor …
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GamesBeat is excited to partner with Lil Snack to have customized games just for our audience! We know as gamers ourselves, this is an exciting way to engage through play with the GamesBeat content you have already come to love. Start playing games here.
Jensen Huang, CEO of Nvidia, gave a keynote at the Computex trade show in Taiwan about transforming AI models with Nvidia NIM (Nvidia inference microservices) so that AI applications can be deployed within minutes rather than weeks.
He said the world’s world’s 28 million developers can now download Nvidia NIM — inference microservices that provide models as optimized containers — to deploy on clouds, data centers or workstations. It gives them the ability to easily build generative AI applications for copilots, chatbots and more, in minutes rather than weeks, he said.
These new generative AI applications are becoming increasingly complex and often utilize multiple models with different capabilities for generating text, images, video, speech and more. Nvidia NIM dramatically increases developer productivity by providing a simple, standardized way to add generative AI to their applications.
NIM also enables enterprises to maximize their infrastructure investments. For example, running Meta Llama 3-8B in a NIM produces up to three times more generative AI tokens on accelerated infrastructure than without NIM. This lets enterprises boost efficiency and use the same amount of compute infrastructure to generate more responses.
Lil Snack & GamesBeat
GamesBeat is excited to partner with Lil Snack to have customized games just for our audience! We know as gamers ourselves, this is an exciting way to engage through play with the GamesBeat content you have already come to love. Start playing games now!
Nearly 200 technology partners — including Cadence, Cloudera, Cohesity, DataStax, NetApp, Scale AI and Synopsys — are integrating NIM into their platforms to speed generative AI deployments for domain-specific applications, such as copilots, code assistants, digital human avatars and more. Hugging Face is now offering NIM — starting with Meta Llama 3.
“Every enterprise is looking to add generative AI to its operations, but not every enterprise has a dedicated team of AI researchers,” said Huang. “Integrated into platforms everywhere, accessible to developers everywhere, running everywhere — Nvidia NIM is helping the technology industryput generative AI in reach for every organization.”
Enterprises can deploy AI applications in production with NIM through the Nvidia AI Enterprise software platfor …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]