KAYTUS announced that it has accelerated the deployment of large-scale liquid-cooled AI data centers through its integrated turnkey service. By combining deployment and commissioning, KAYTUS delivers ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Cerebrovascular Department of Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Nursing, Zhengzhou University People's Hospital, Zhengzhou, Henan, China Objectives: This ...
Parallel Learning, a virtual special education platform, secured $20 million in Series B funding to address critical nationwide special education teacher shortages and resource gaps. The company ...
Comprehensive Training Pipelines: Full support for Diffusion Language Models (DLMs) and Autoregressive LMs, from pre-training and SFT to RL, on both dense and MoE architectures. We strongly recommend ...
NVIDIA's NVL72 systems are transforming large-scale MoE model deployment by introducing Wide Expert Parallelism, optimizing performance and reducing costs. NVIDIA is advancing the deployment of ...
When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and complex and opaque model workflows; or, they don’t know when enough training ...
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 ...
I'm trying to run inference within the LightningTrainer using a litgpt model with 2d parallelization (TP+FSDP) while using a Bitsandbytes precision plugin to enable quantization, however I get into ...
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