ZenteiQ uses GKE Inference Gateway and llm-d to boost multi-model inference throughput 4x and keep foundation model ...
When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
"Trained on massive amounts of data" and "inference speed has improved." These two terms frequently appear in AI news.When ...
Intel unveils 480GB GPU D-series with laptop memory to beat Nvidia Blackwell — and an 8-card system handles 1 trillion ...
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LLM quantization without calibration data matches SmoothQuant: DualQuant targets FP4 hardware
LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...
Researchers from Tsinghua University and Zhipu have published a paper on arXiv, with Zhipu chief scientist Tang Jie as corresponding ...
After nine years, a Chinese supercomputer has returned to the top of the global TOP500 list. In the June 2026 rankings, LineShine, an exascale system deployed at the National Supercomputer Center in ...
HTEC (High Tech Engineering Center), otherwise known as HTEC Group, may push the editorial boundaries with its four-letter ...
Tesla Megapack capacity for 2027 is nearly sold out as AI data centers rush to lock in battery storage. See who is buying, ...
CoOpt, an algorithm-hardware co-design framework that boosts large language model inference throughput by up to 13.43 percent ...
A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, ...
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