Stay up to date with the latest desktop PC hardware—CPUs, RAM, storage solutions, and GPUs—all broken down in one comprehensive resource.
NVIDIA GeForce RTX 5090 Content Creation Review
NVIDIA’s GeForce RTX 5090 is the most powerful consumer GPU in the world. How does it perform in content creation applications?
Exploring GPU Performance Across LLM Sizes
Does the size of a Large Language Model affect relative performance when testing a variety of GPUs?
Puget Systems Most Reliable Hardware of 2024
With 2024 wrapped up, we want to take the opportunity to call out specific brands and models that had exceptional reliability over the last year.
Puget Systems Hardware Trends of 2024
With 2024 at a close, we wanted to look back at the sales trends we saw for CPUs, GPUs, storage, RAM and operating systems.
Intel Arc B580 Content Creation Review
Intel’s second-gen Arc graphics, codenamed Battlemage, launches with the entry-level B580. How does it perform in content creation applications?
LLM Inference – NVIDIA RTX GPU Performance
How do a selection of GPUs from NVIDIA’s professional lineup compare to each other in the llama.cpp benchmark?
LLM Inference – Consumer GPU performance
How do a selection of GPUs from NVIDIA’s GeForce series compare to each other in the llama.cpp benchmark?
Tech Primer: What hardware do you need to run a local LLM?
What considerations need to be made when starting off running LLMs locally?
Effects of CPU speed on GPU inference in llama.cpp
What effect, if any, does a system’s CPU speed have on GPU inference with CUDA in llama.cpp?
