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Baseten takes on hyperscalers with new AI training platform that lets you own your model weights
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 [...]
Mistral AI launches Forge to help companies build proprietary AI models, challenging cloud giants
Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]
Researchers say they trained a foundation model from scratch for about $1,500
Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute- [...]
Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source
The prevailing assumption in AI development has been straightforward: larger models trained on more data produce better results. Nvidia's latest release directly challenges that size assumption â [...]
Peloton updates its Bike, Tread and Row machines with form-checking cameras, rotating screens and lots of AI
It’s been a rough time for Peloton. Last year was marred by deep staff cuts, a change of CEO and a reckoning of where the home fitness company belonged, post-Pandemic boom. The answer is, unfortunat [...]
Google Cloud takes aim at CoreWeave and AWS with managed Slurm for enterprise-scale AI training
Some enterprises are best served by fine-tuning large models to their needs, but a number of companies plan to build their own models, a project that would require access to GPUs. Google Cloud wants [...]
Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs
Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using r [...]