2025-03-26
The race to trillion-parameter model training in AI is on, and this company thinks it can manage it for less than $100,000
Phison slashes AI training costs – shifting workloads from GPUs to SSDs could cut trillion-parameter model expenses from $3 million to just $100,000. [...]
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2025-10-21
DeepSeek drops open-source model that compresses text 10x through images, defying conventions
DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large l [...]
2025-10-29
Nvidia researchers unlock 4-bit LLM training that matches 8-bit performance
Researchers at Nvidia have developed a novel approach to train large language models (LLMs) in 4-bit quantized format while maintaining their stability and accuracy at the level of high-precision mode [...]
2025-10-17
World's largest open-source multimodal dataset delivers 17x training efficiency, unlocking enterprise AI that connects documents, audio and video
AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way.One of the big missin [...]
2025-10-27
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 [...]
2025-10-08
Samsung AI researcher's new, open reasoning model TRM outperforms models 10,000X larger — on specific problems
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoe [...]
2025-10-09
Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training
Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates [...]
2025-10-20
New 'Markovian Thinking' technique unlocks a path to million-token AI reasoning
Researchers at Mila have proposed a new technique that makes large language models (LLMs) vastly more efficient when performing complex reasoning. Called Markovian Thinking, the approach allows LLMs t [...]
2025-10-02
'Western Qwen': IBM wows with Granite 4 LLM launch and hybrid Mamba/Transformer architecture
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]