Explore why Nvidia opts to sell GPUs rather than develop its own foundational AI models, highlighting the strategic advantages of their 'picks and shovels' approach in the AI industry.
Discover the best places to find used servers for your AI or HPC projects and learn the hidden costs of enterprise hardware, including noise, heat, and power consumption.
Explore diverse predictions for our technological future, from warnings of an AI investment bubble and technofascism to proposals for radical new computing hardware and a movement for '100% human' content.
Developers discuss their real-world local LLM setups, sharing practical tools like Ollama, clever workflows for code explanation and automation, and a breakdown of the hardware vs. cloud subscription debate.
Exploring community speculation on Jony Ive and OpenAI's potential new AI hardware, from screen-less wearables and voice control to holographic interfaces, amidst strong skepticism about its necessity and the role of hype.