Abstract: DRAM-based processing-in-memory (DRAM-PIM) has gained commercial prominence in recent years. However, its integration for deep learning acceleration, particularly for large language models ...

Running a 284-billion-parameter language model on a laptop might sound improbable, but DeepSeek’s V4 Flash makes it a reality. By combining a Mixture-of-Experts (MoE) architecture, advanced ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Abstract: Recent large language models (LLMs), driven by the scaling law, have demonstrated remarkable performance in various machine learning tasks by significantly increasing model size. However, ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

The only no-code automation platform deserves more attention than it gets ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

As AI becomes cheaper and more capable, I believe it will weave itself into the fabric of every job description.

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...