When you're trying to get the best performance out of Python, most developers immediately jump to complex algorithmic fixes, using C extensions, or obsessively running profiling tools. However, one of ...
The soaring cost and limited supply of computer memory is slowing some projects — and spurring creative approaches.
Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...
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AMD VP uses AI to create Radeon Linux userland driver in Python
AMD's VP of AI software vibe coded the driver entirely using Claude Code, but it's meant for testing, not for deployment to ...
In 2025, something unexpected happened. The programming language most notorious for its difficulty became the go-to choice ...
There are moments in the evolution of a nation when a single incident, seemingly isolated, exposes a deeper and more troubling ...
⭐ If you like our project, please give us a star on GitHub for the latest updates! LightMem is a lightweight and efficient memory management framework designed for Large Language Models and AI Agents.
Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.
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