AI evals are becoming the new compute bottleneck
AI model evaluations are becoming a significant computational bottleneck, demanding more resources than model training.
Read on Hugging Face Blog →Yotta and Gorilla Technology are expanding their AI infrastructure partnership in India with a $2.8 billion project to deploy an additional 20,736 GPU cards by September 2026, significantly boosting the country's AI compute capabilities.
Why it matters
This substantial investment in AI infrastructure, particularly the deployment of a large number of GPU cards, is crucial for enabling advanced AI development and deployment in India. It signifies a major step towards bolstering the nation's capacity for complex AI computations, which underpins everything from large language models to scientific research and industrial automation. The expansion directly addresses the growing demand for computational power needed to train and run sophisticated AI applications, positioning India to be a more significant player in the global AI landscape.
Two companies are investing a lot of money to build more powerful computer systems in India that are needed to run advanced AI programs. This will help India do more AI research and build new AI technologies.
AI model evaluations are becoming a significant computational bottleneck, demanding more resources than model training.
Read on Hugging Face Blog →Hugging Face integrates DeepInfra as an inference provider, allowing users to deploy models more efficiently.
Read on Hugging Face Blog →NVIDIA introduces Nemotron 3 Nano Omni, a multimodal AI model capable of processing long contexts across documents, audio, and video.
Read on Hugging Face Blog →