Researchers released TycoonLE, a JAX-based reinforcement learning environment for long-horizon planning in a simulated logistics economy. The environment supports action legality, delayed rewards, and…
NVIDIA has introduced the NVFP4 training recipe in TransformerEngine, enabling 4-bit mixed-precision pre-training on Blackwell GPUs with no measurable accuracy loss compared to FP8 baselines. The reci…
A developer benchmarked quantum circuit simulation backends using a 20-qubit VQE workload on an NVIDIA RTX 5090 GPU, finding JAX/XLA 12.4x faster than PyTorch and 15.7x faster than TorchQuantum for po…
JAX defaults to loading data directly onto GPU memory when a CUDA-enabled version is installed, causing out-of-memory errors for large datasets that would fit in system RAM. The framework's `jax.devic…
Google released Magenta RealTime 2, an open-weights AI model and real-time inference engine that enables live, low-latency music generation on a MacBook. The model responds instantly to MIDI, audio, a…
A developer porting PyTorch LLM code to JAX using Flax encountered difficulties when attempting to store model checkpoints with Safetensors, as the library's Flax API expects flat dictionaries but Fla…
SpaceX has nearly completed version 1.0 of a proprietary AI training stack written in C, designed to exact-map to 220,000 GB300 processors with 800G network interface cards. The system, which leverage…
Google launched Coral, a full-stack platform for edge AI that combines an AI-first hardware architecture with a unified developer experience to enable efficient, local AI processing. The platform prov…
Researchers have released GenSBI, an open-source library for simulation-based inference built entirely in JAX, implementing flow matching, score matching, and denoising diffusion methods. The library …
AMD's ROCm (Radeon Open Compute platform) has reached production-ready maturity as an open-source alternative to NVIDIA's CUDA, now supporting LLM inference, fine-tuning, and image generation on AMD G…
TensorCircuit-NG, a quantum software stack built on AI infrastructure, treats quantum circuits as specialized tensor operations to leverage existing AI tooling for automatic differentiation, compilati…
MaxText has introduced new post-training capabilities, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), now available on single-host TPU configurations like v5p-8 and v6e-8. …
At the Google I/O conference, NVIDIA and Google Cloud announced new resources for their joint developer community of over 100,000 members, including learning paths for JAX on NVIDIA GPUs and an NVIDIA…
Convergent infrastructure requirements for the foundation model lifecycle—including tightly coupled accelerator compute, high-bandwidth networking, and distributed storage—and highlights the growing r…