A developer explains how Kubernetes scheduling, autoscaling, and model-serving patterns must adapt to handle GPU-accelerated AI workloads. The post highlights challenges such as gang scheduling, topol…
Dash0, the OpenTelemetry-native agentic observability platform, has acquired Polar Signals, a company known for its continuous profiler and production-safe GPU profiler for CUDA-based NVIDIA architect…
Linux 7.2 has been released, introducing Cache Aware Scheduling after more than a year of work, along with AMD Zen 6 prep, HDMI 2.1 Fixed Rate Link support, and initial support for 2023 MacBooks. The …
AWS is pairing its Trainium chips with Cerebras CS-3 systems to split transformer inference into prefill and decode phases, with Trainium handling prefill and Cerebras handling decode, shipping as a p…
A new C++ implementation of NVIDIA's Sana 0.6B text-to-image model, named Sana.cpp, runs approximately 4.8 times faster than the PyTorch pipeline on Apple Silicon CPU. The project, developed by GitHub…
Stanford's Hazy Research group found that the intelligence per joule (IPJ) of local AI inference improved 18-fold from mid-2024 to late 2025, driven by a 3.1x gain from model architecture improvements…
NVIDIA announced a $3 billion investment in the infrastructure powering artificial intelligence, marking one of the largest corporate bets on AI compute. The funding targets data centers and chip manu…
Researchers from the University of Cambridge, NVIDIA, and Flower Labs have developed the Red Queen Gödel Machine, a method for recursive self-improving AI agents that co-evolves the agent and its eval…
A developer's guide explains how to calculate VRAM requirements for running local large language models, emphasizing the importance of quantization. The post provides a simple equation and tables show…
Chip Huyen's 'AI Engineering' and 'Designing Machine Learning Systems' are among the 10 books recommended for AI engineers in 2026, according to a newsletter by an unnamed author. The list also includ…
Malaysia has approved roughly RM184.7 billion ($42 billion) in data center investments since 2021, making it a key AI infrastructure hub, with Johor leading Southeast Asia in data center growth. Googl…
A Microsoft MVP based in Japan benchmarked seven local large language models on an NVIDIA DGX Spark, running identical Japanese business questions to compare speed, format adherence, and answer qualit…
An audit of 42 benchmark rows published by nine vendors — DeepSeek, Google, xAI, Z.ai, Anthropic, OpenAI, Moonshot AI, NVIDIA, and Mistral AI — on pages dated on or before August 14, 2026, found that …
Palantir Technologies CEO Alex Karp reported Q2 2026 revenue of $1.94 billion, a 93% year-over-year increase, and GAAP net income of $1.062 billion, using the results to intensify his criticism of Ope…
HuggingFace's State of Open Models report for summer 2026 reveals that Chinese labs now dominate frontier-scale open models, with the largest reaching 2.78 trillion parameters, while US labs peaked at…
NVIDIA has launched model routing infrastructure that examines prompts and directs them to the lowest-cost capable inference model, entering the model routing market to help enterprises control infere…
AMD's Ryzen AI Halo may outperform NVIDIA's DGX Spark for local AI development, according to a hardware comparison. The Ryzen AI Halo offers better power efficiency and thermal performance, while the …
The United States is pressuring its allies to choose sides in the AI race, fragmenting the global AI landscape into competing blocs. This 'pick a side' approach affects compute and silicon access, mod…
NVIDIA has moved its 800-VDC power architecture from concept to production, with the first MGX-compatible 800-VDC power rack scheduled for Q3 2026, delivering high-voltage DC to AI compute racks while…
A developer detailed deployment recipes for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter Mixture-of-Experts model with 95B active parameters, using vLLM. The guide covers verified GPU configurations, i…