The race for GPU domination is but a snapshot in generative AI's unfolding narrative, a prologue to the future chapters of AI and computing.
The GPU shortage is a challenge, but zeroing in on a Contribution Per GPU method can maximize ROI and help ensure long-term success.
Record second quarter revenues and continued focus on R&D and complete AI infrastructure indicate a "new Nvidia computing era has begun."
With GPUs increasingly hard to come by for AI, Kneron announces its KL730 neural processing unit (NLU) featuring enhanced energy efficiency.
CoreWeave, a specialized cloud provider of large-scale GPU-accelerated workloads, announced that it has secured a $2.3 billion debt facility.
AI startup CentML aims to help address the worldwide shortage of GPUs for training and inference of generative AI models.
Today at Computex, MediaTek and Nvidia announced a partnership to develop a unique platform for AI-powered connected cars.
Dell and Nvidia extend partnership with Project Helix, bringing the power of generative AI to on-premises enterprise deployments.
Google dives into the ‘supercomputer’ game by knitting together purpose-built GPUs for large language model training
Google's new machines combine Nvidia H100 GPUs with Google’s high-speed interconnections for AI tasks like training very large language models.
OpenAI CEO Sam Altman said that more AI progress will not come from making models bigger. What he didn't say is that one big reason is the massive cost of…