I built a local AI setup out of two old GPUs that sell for cheap, and it beats a single new card ...

NVIDIA remains a formidable force in the discrete GPU sector, yet AMD and Intel have made notable strides in gaining market share during Q3 2025. AMD and Intel Gain Ground in the GPU Market The latest ...

Biological neurons are significantly more stable and efficient than traditional reinforcement learning systems. Ethical concerns arise from creating conscious systems due to the potential for ...

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Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...

As mentioned, Nvidia's strength in GPUs, and therefore the powering of AI tasks, has helped it rise to the top of the AI chip market. Nvidia's GPUs originally serviced the gaming market -- and they ...

DeepSWE, created by DataCurve offers a benchmark for assessing AI coding models by focusing on real-world programming challenges rather than synthetic test cases. According to Matthew Berman, one of ...

Introduction to CUDA programming for Python developers Here’s a detailed breakdown of how CUDA programming works compared to similar operations in PyTorch, from the blog for the PySpur AI Agent ...

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity ...

While much attention regarding AI has been focused on developers using it to code, the impact of AI on software development goes far beyond code creation tools. Armando Solar-Lezama, Distinguished ...