PromptCube, a vertical threaded community platform, serves AI practitioners by organizing discussions into categories such as AI Models, prompting techniques, and deployment architectures, enabling a …
Cerebras Systems' CS-4 rack achieves 85% model flops utilization (MFU) on a 400B parameter training run across 16 systems, compared to 30-40% for traditional GPU clusters, thanks to the WSE-3's on-waf…
A new arXiv paper (2608.17087v1) introduces telos, a PyTorch library providing an algebra-generic, differentiable evaluation engine for linear temporal logic, enabling gradient-based training of softl…
Philip Kiely's new book, 'Inference Engineering,' is now available as a digital download, offering a comprehensive guide to the technologies and techniques powering AI inference across runtime, infras…
Helsing, a defense technology company developing AI-enabled drone software, is hiring a Machine Learning Engineer for Detection and Tracking in Washington, DC, to own the detection and tracking models…
Jump Trading Group is hiring a Research Scientist/Research Engineer for its reinforcement learning team in Chicago, New York, or London, offering an annual base salary of $200,000–$350,000. The role i…
Hugging Face Community, Reddit r/MachineLearning, Stack Overflow, PromptCube, Dev.to, Kaggle, and official Discord servers are the best dedicated forums for AI practitioners, offering searchable, arch…
NVIDIA introduced the ALCHEMI Toolkit, a PyTorch-native suite for GPU-accelerated atomistic simulations with machine learning interatomic potentials, and demonstrated that AI coding agents can build s…
Apertura, a from-scratch Objective-C++/MLX rebuild of Google's Gemma-4 for Apple Silicon, runs the entire Gemma-4 text family natively on a Mac with bit-exact conformance to the PyTorch reference, ach…
A practical guide outlines a learning path for AI in 2026, emphasizing an engineering-level approach over deep research. The author recommends starting with essential mathematics and PyTorch projects,…
The vLLM ecosystem is shifting from batch-oriented inference to disaggregated prefill/decode serving to handle agentic traffic, a theme central to the first vLLM Conference scheduled for August 24-26,…
NVIDIA has unveiled NOOA (NVIDIA Object-Oriented Agents), an open-source framework that models AI agents as single Python classes, unifying capabilities, state, prompts, and memory. The framework's de…
A user reports that ComfyUI on an AMD RX 9070XT with ROCm and PyTorch remains the best combination, and describes creating a bash build script to generate Docker images with specified versions of ROCm…
Stripe, LLC. is hiring a Machine Learning Engineer in South San Francisco, CA, with a salary range of $212,000–$318,000 per year, to design and deploy ML models for underwriting and portfolio manageme…
PyTorch developers can eliminate GPU idle time caused by CPU bottlenecks by using multi-process data loading with `num_workers` set to the number of CPU cores, `pin_memory=True`, and binary formats li…
LanceDB's guide to data loading for AI/ML explains the process of moving data into algorithms, focusing on PyTorch and LanceDB, and covers the I/O and CPU stages, noting that I/O is rarely the bottlen…
A new arXiv preprint (2608.13889v1) presents a consensus-gated multi-agent neural architecture search (NAS) system that uses three large language models (Claude, GPT-5.1, and Gemini 2.5 Pro) to debate…
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…
A developer's ongoing 32-week project to understand AI inference reached Phase 2, focusing on tensors, the core data structure of machine learning models. The developer demonstrated creating tensors i…
Perfetto's next release will improve PyTorch profile rendering by fixing a long-standing issue where overlapping events were dropped or poorly displayed. The previous workaround merged overlapping eve…