These two cloud companies just want to use NVIDIA’s AI chips, and not build their own.
Going by figures Huang was hinting at, the 25k GPU cluster could very well be part of a larger shipment containing 1,00,000 GPUs
If energy costs for running GPUs are climbing, what is the endgame?
Infosys has also unveiled plans to establish the “NVIDIA Center of Excellence,” dedicated to training and certifying 50,000 of its employees in NVIDIA AI technology.
GH100 was also expected to have an MCM design, but it came with a monolithic architecture again.
After a tumultuous investment spree with significant losses, will SoftBank’s plans to invest in OpenAI and other AI companies provide the boost it needs?
With NVIDIA partnership, Hugging Face users get access to SOTA GPUs and infrastructure needed to rapidly train and finetune foundation models at scale and drive a new wave of enterprise LLM development.
Hailing from Pune, a former Google DeepMind research scientist Tejas Kulkarni co-founded Common Sense Machines, a Boston-based AI startup aiming to revolutionise 3D generation AI platforms
A study by Microsoft and IAMAI found that India’s AI market is set to grow by 20% in the next five years, second only to China.
“We used AI to revolutionise computer graphics. Graphics enabled AI, and now AI is saving graphics,” says Jensen Huang.
IBM leads the way, breaking boundaries making powerful quantum computers – the same way it made the first computer.
Jensen Huang of NVIDIA said that Huawei is one of the most technologically advanced companies in the world, and deserves all the praise