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10 English Kalera News articles tagged AI Infrastructure — source-backed.
NVIDIA has officially merged its Networking division into the AI Infrastructure group (NVIDIA AI Infra), establishing a single point of management covering everything from fabric and compute to intermediary components.
NVIDIA recently posted a brief, exciting message on X, inviting the community to look forward to key moments in its upcoming keynote.
Optimizing the inference process for large Transformer models is key to reducing memory costs and operational latency in practice.
Pinterest has achieved a major breakthrough in operational efficiency, slashing AI infrastructure costs by 90% and boosting accuracy by 30% by restructuring the vision processing layer of the Qwen3-VL model.
Vercel integrates Amazon OpenSearch Serverless directly into its Dashboard, enabling developers to set up vector search infrastructure for AI Agents with just a few clicks while cutting costs by up to 60%.
Hugging Face has released part 1 of a guide on using 'torch.profiler', helping developers identify bottlenecks and reduce AI model training costs.
NVIDIA recently shared a highly confident message about Jensen Huang's style: instead of writing reviews, he leaves his signature directly on the hardware.
NVIDIA recently shared the core pillars of 'Tokenomics' (token economics), helping businesses understand how to optimize infrastructure to achieve the lowest cost and sustainable AI scalability.
Bindu Reddy (Abacus.ai) has announced the AI SuperComputer, providing 'infinite' computing resources for long-running AI agents, supporting everything from server infrastructure to LLM training.
Jensen Huang (Nvidia) and Michael Dell (Dell) co-appeared at Dell Technologies World to announce strategic partnerships in AI computing infrastructure.
