The proposed policy seems to offer protections against AI run amok but actually forbids federal agencies from blocking a model's release without the permission of…
Before you share the Netflix documentary "AI Gone Rogue" take note. Clem Delangue, Hugging Face's co-founder who is featured in the film, says it went…
Google is bringing Personal Intelligence to Gemini AI in your car. With this update, Gemini in Android Auto and cars with Google built-in can tap…
Anthropic is reportedly struggling to secure enough compute from cloud providers that increasingly view it as a competitor, even as its infrastructure spending balloons ahead…
Learn how i14 trained and served Laplace 3B, a linear attention model, on AWS Trainium2 using native PyTorch. Its recurrent state stays fixed at 29.5 MB per sequence regardless of context length, avoiding the growing key-value cache of transformer models and keeping serving memory predictable.
SpaceX’s data centers and Grok agents have been more profitable than investors expected in second quarter of the year, as the company leaves its roots…
OpenAI says it's adding Orchestra's team and technology to work on Rosalind, its AI model for life sciences research, and to its related Rosalind Workbench…
Learn how Runpod autoscaling helps teams cut costs and improve performance for both training and inference. Includes best practices and real-world.
Learn how to build ethical AI, from bias and privacy to transparency and sustainability, using tools and infrastructure that support responsible work.
This tutorial guides users through setting up a true SSH daemon on Runpod, enabling functionalities like SCP and IDE connections. It covers selecting a.
Learn how to fine-tune large language models using Axolotl on Runpod. This guide covers LoRA, 8-bit quantization, DeepSpeed, and GPU infrastructure setup.
Learn how to reduce LLM inference costs and latency using quantization, vLLM, SGLang, and speculative decoding without upgrading your hardware.
From Mistral to DeepSeek, open-source AI is closing the gap with closed models, and, in some cases, outperforming them. Here's why builders are betting on.
Explore what's possible when training Flux.1 Dev on AMD's 192GB MI300X GPU. This post dives into fine-tuning at scale with huge batch sizes and real-world.
Big labs may dominate the headlines, but the future of AI is being shaped by indie devs, fast-moving builders shipping small, weird, brilliant things.
