What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean ...
The new features are designed for companies training massive AI models, making it easier to manage complex workloads and keep systems running smoothly. Google Cloud is stepping up its push into ...
A new technical paper titled “Power Stabilization for AI Training Datacenters” was published by researchers at Microsoft, OpenAI, and NVIDIA. “Large Artificial Intelligence (AI) training workloads ...
ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra ...
Microsoft EVP of Cloud + AI Scott Guthrie says the goal is to be able to 10X the AI training every 18-24 months. This likely includes maintaining the 2-4X pace of chip improvement. Satya Nadella gave ...
As AI becomes more like a recurring utility expense, IT decision-makers need to keep an eye on enterprise spending. The costs of GPU use in data centers could track with overall costs for AI.
In Atlanta, Microsoft has flipped the switch on a new class of datacenter – one that doesn’t stand alone but joins a dedicated network of sites functioning as an AI superfactory to accelerate AI ...
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