Nvidia's AI Chip Demand Surges with Video and Voice Model

Nvidia benefits from the surge in demand for generative AI, particularly in video and voice interactions.

[{"selector":"#anim-b27b280e-9c04-4653-aa01-0e61b4963cc6","keyframes":{"transform":["translate3d(-153.00001%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-bc70a8a8-fb3f-4a28-8042-468e7441731d","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-cf64394b-2825-40bf-9897-423f510fb641","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}]

CEO Jensen Huang underscores the significance of video and physics grounding for future AI development.

[{"selector":"#anim-2b216fc8-82ba-4d89-a820-9fffa7f70618","keyframes":{"transform":["translate3d(-153.00001%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-9f2b1454-46cc-4682-bdb0-6a4f27f52a44","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-eab852c5-6084-43e0-bcc1-e686d60d828e","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}]

Demand for Nvidia's Grace Hopper chips rises with the need for more computing power for advanced AI models.

[{"selector":"#anim-c63907ec-0763-40d0-b600-8ffebcbd9137","keyframes":{"transform":["translate3d(-153.00001%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c0d3b03d-ca5d-49da-8256-d5162cd5d62c","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-3dea07d3-2971-4436-b610-e855d6338c75","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}]

Nvidia's diverse clientele, including Google DeepMind and Meta Platforms, fuels demand for AI image and video generation platforms.

[{"selector":"#anim-5a16dbdc-8aa6-40bc-ba10-dbc8667aff44","keyframes":{"transform":["translate3d(-162.50001%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-146765b0-6ba2-4c28-97f5-0b12ab040770","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-10287e33-6a46-40f8-af23-9ad998cdf534","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}]

The automotive industry, notably Tesla, is a major driver of Nvidia chip demand for AI applications like autonomous driving.

[{"selector":"#anim-8102e258-e430-4bcc-b0a0-e72d86af404d","keyframes":{"transform":["translate3d(-153.00001%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-4c4b8a7d-46d0-4b89-aed9-b8ae125b13b5","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-efe40867-55fc-4201-b76a-bbd4d627f0b0","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}]

Nvidia's AI Chip Demand Surges with Video and Voice Model

Nvidia benefits from the surge in demand for generative AI, particularly in video and voice interactions.

CEO Jensen Huang underscores the significance of video and physics grounding for future AI development.

Demand for Nvidia's Grace Hopper chips rises with the need for more computing power for advanced AI models.

Nvidia's diverse clientele, including Google DeepMind and Meta Platforms, fuels demand for AI image and video generation platforms.

The automotive industry, notably Tesla, is a major driver of Nvidia chip demand for AI applications like autonomous driving.

Read More Stories