Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.
Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.
The shift would mark a rare departure from the philosophy that has guided Nvidia for most of its 33-year history: that a ...
Nvidia’s GTC 2026 unveiled AI factories, token-based economics, and agentic systems—signaling a new era where energy converts ...
Nvidia introduced the DGX Station at GTC 2026, a desktop supercomputer with 20 petaflops of AI performance and 748GB of coherent memory that can run trillion-parameter AI models locally without the ...
Nvidia CEO Jensen Huang's keynote speech at the chipmaker's annual developers event Monday included new product announcements ...
Nvidia CEO Jensen Huang sees $1T GPU demand by 2027 as AI inference surges; CUDA ecosystem and cloud partners fuel growth.
Nvidia CEO Jensen Huang talks up efforts by the AI technology giant to pave the way for self-evolving, multi-agent systems ...
Extreme photorealism may be just around the corner ...
Jensen Huang’s GTC 2026 keynote wasn’t just about new chips. It showed Nvidia pushing to own the economics of inference, agentic AI, and the infrastructure beneath the next industrial wave.
Jensen Huang said engineers will soon be asking "how many tokens comes along with my job?" and is willing to pay them tokens worth half their salary.
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