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45 days agoNvidia launches DGX H300 supercomputer platform aimed at trillion-parameter models
Nvidia unveiled the DGX H300 platform to accelerate training and inference for extremely large AI models, offering higher efficiency and faster interconnect performance for data centres. The system pairs advanced H-series GPUs with software optimisations designed to shorten model training cycles and reduce overall TCO for hyperscalers and enterprise AI teams. Nvidia said the platform targets workloads such as large language models, multimodal systems and drug discovery research. Analysts noted the launch intensifies competition in AI hardware and will be closely watched for adoption by cloud providers and major research labs.
Tags:
- ai
- nvidia
positive
45 days agoNvidia launches DGX H300 supercomputer platform aimed at trillion-parameter models
Nvidia unveiled the DGX H300 platform to accelerate training and inference for extremely large AI models, offering higher efficiency and faster interconnect performance for data centres. The system pairs advanced H-series GPUs with software optimisations designed to shorten model training cycles and reduce overall TCO for hyperscalers and enterprise AI teams. Nvidia said the platform targets workloads such as large language models, multimodal systems and drug discovery research. Analysts noted the launch intensifies competition in AI hardware and will be closely watched for adoption by cloud providers and major research labs.
Tags:
- ai
- nvidia
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Nvidia introduced the DGX H300 to support trillion-parameter AI models, promising faster training and improved efficiency for hyperscalers and research labs.
Nvidia unveiled the DGX H300 platform to accelerate training and inference for extremely large AI models, offering higher efficiency and faster interconnect performance for data centres. The system pairs advanced H-series GPUs with software optimisations designed to shorten model training cycles and reduce overall TCO for hyperscalers and enterprise AI teams. Nvidia said the platform targets workloads such as large language models, multimodal systems and drug discovery research. Analysts noted the launch intensifies competition in AI hardware and will be closely watched for adoption by cloud providers and major research labs.
Nvidia unveiled the DGX H300 platform to accelerate training and inference for extremely large AI models, offering higher efficiency and faster interconnect performance for data centres. The system pairs advanced H-series GPUs with software optimisations designed to shorten model training cycles and reduce overall TCO for hyperscalers and enterprise AI teams. Nvidia said the platform targets workloads such as large language models, multimodal systems and drug discovery research. Analysts noted the launch intensifies competition in AI hardware and will be closely watched for adoption by cloud providers and major research labs.
Tags:
- ai
- nvidia
- ai
- nvidia
- hardware
- data_center
- technology
Nov 5, 2025 • 06:33