Microsoft Research systematically measured mobile manipulation robot workloads and found that offloading physical AI inference from onboard GPUs to edge or cloud GPUs can improve task success, support larger models and extend battery life.
Airbnb is expanding use of GPT-6 Astra and OpenAI frontier models to help engineering teams investigate bugs, design systems and deliver faster.
NVIDIA released Isaac ROS 5.0 at ROSCon in Toronto, Canada. The collection of ROS-based GPU-accelerated packages adds agentic workflows and platform support to help developers build, customise and deploy robot applications faster.
TypeSafe AI founder and CEO Diogo Almeida introduced Jev on the Latent Space podcast, describing it as a System One large model designed for consumption by software.
NVIDIA launched DSX Ready certification to validate partner products against its DSX AI factory reference design, initially covering battery energy storage systems (BESS) and coolant distribution units (CDU).
NVIDIA explains that deploying physical AI at scale requires safety covering hardware, software, AI behaviour and operating environments, and introduces its full-stack safety system NVIDIA Halos.
NVIDIA held an AI ecosystem event at the Grand Egyptian Museum, with Egyptian Deep Learning Institute participation growing over tenfold in a year. Hassan Allam received a data centre licence from Egypt's National Telecom Regulatory Authority and is developing a new centre with A15 with expected investment of $400 million. NVIDIA says four African AI factories have been announced or launched, with another 656 MW under construction.
NVIDIA argues AI security should be treated as an engineering problem, with explicit requirements, executable controls, named owners and evidence of effective protection. Its open-source NVIDIA OpenShell enforces policies outside agent reasoning and provides sandboxed execution. Cisco DefenseClaw adds governance, while JFrog integrates OpenShell to scan and validate agent skills.
NVIDIA highlighted five AI clean-energy companies at New York Climate Week. ThinkLabs AI's NVIDIA CUDA-based digital twins and agents help Southern California Edison cut grid connection application assessments from 30–45 days to two minutes.
Hugging Face released tokenizers v1, preserving token IDs, APIs, vocabularies and merge ranks from v0.23 while increasing speed by up to tens of times.
Simon Willison released llm-keys-ui 0.1 to configure API keys on remote machines. Running uvx --with llm-keys-ui llm keys-ui --all opens an interface to save keys over the local network or a Tailscale device IP, avoiding pasting secrets into ChatGPT or agent sessions.
Google Research released MilleMiglia, a C++ generator of realistic, privacy-preserving benchmark instances for middle-mile logistics delivery. Source and documentation are public on GitHub.
Anthropic introduced Projects in Claude Code, allowing one conversation to spawn parallel cloud sessions, pass context between threads and keep running after users leave. Google updated the Antigravity-based harness for Gemini managed agents with Credentials API and Files API, claiming up to 30% lower costs and 22% higher cache-hit rates.
Pawprint Studio's open-world creature-catching RPG Aniimo launches day one on GeForce NOW, enabling streaming on Steam Deck and newly supported Firefox without waiting for a 45 GB download.
GitHub used the Copilot app and Copilot CLI to completely rewrite the Copilot agent runtime from TypeScript into over 800,000 lines of production Rust. AI agents wrote most of the code, delivered incrementally across 128 PRs, improving performance by several orders of magnitude.
NVIDIA submitted preview results for Vera Rubin NVL72 to MLPerf Inference v6.1 for the first time, achieving throughput up to 3.7 times that of GB300 NVL72 on Qwen3-VL and up to 2.5 times on DeepSeek-R1.
Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance (AEMA) to encourage data centres to dynamically adjust electricity use to grid conditions.
OpenAI described how ChatGPT Work and Codex analytics help teams understand AI usage and spending, identify training needs and connect adoption to business outcomes.
TypeSafe released Jev, a non-autoregressive model trained with RLCD solely for decisions, classification, routing and scoring. Official claims put it at 20–200 times faster and 40–400 times cheaper than small frontier LLMs, with no output token charges.
A University of Manchester team used NVIDIA Earth-2's generative Earth-2 CorrDiff model and one year of hourly UK pollution data to train a nationwide air-pollution model at 2–3-square-kilometre resolution, completing training in two days on one eight-GPU Isambard-AI node.
NVIDIA introduced DSX at AI Infra Summit to improve AI-factory token throughput within a fixed power budget. Lambda validated DSX MaxLPS on a five-rack, 19-node HGX B200 cluster, running 19 nodes within the same budget as 16 at full power. Cluster token throughput rose 24%, from around four million to five million tokens per second, with performance per watt up 23%.
NVIDIA announced several advances for Vera Rubin and the DSX platform at AI Infra Summit, focusing on energy-efficiency improvements in token throughput per megawatt.
Children's Hospital of Philadelphia (CHOP) uses MONAI, the open-source medical imaging framework co-founded by NVIDIA, to reduce paediatric heart modelling from four hours to seconds, already supporting complex ventricular septal defect surgical planning. CHOP is working with NVIDIA to integrate Newton, an open-source physics engine based on NVIDIA Warp, into SlicerHeart, reducing cardiac-device simulation from up to four hours to near real time.
GitHub's Japan and Korea marketing leads used Copilot to automate event operations. GitHub Issues are work units, Issue forms collect structured fields and labels trigger Actions workflows to generate UTM links, landing pages and invitation emails and clean registrant lists.
OpenAI evolved Habitat from a Python library into a globally distributed storage platform supporting one billion ChatGPT users and 22 million requests per second, meeting the scaling demands of ChatGPT's online storage.
Mistral and Cloudera partnered to integrate Mistral models into Cloudera's hybrid data platform. Enterprises can run inference in private or public clouds, on-premises and fully air-gapped environments with full control. They can train custom models on proprietary data in controlled environments while retaining ownership of data and resulting intelligence. Cloudera runs 30 exabytes of customer-managed data.
TRL v1.14's AsyncGRPOTrainer now supports training and synchronising only LoRA adapters to vLLM. A rank-1 adapter is just a few MB and can transfer through a Storage Bucket mounted to each job, without NCCL.
GitHub released a research preview of Project HydraFusion, using runtime multi-model orchestration to deliver frontier-level coding through Copilot. Users can enable it via /experimental in GitHub Copilot CLI, paying each model's standard rates for tokens actually consumed.
Hugging Face launched NeoMME in 260M and 800M sizes. A single bidirectional Transformer handles text tokens and 32×32 image patches, trained from scratch with a masked discrete diffusion objective rather than pretrained vision towers or causal language models.
Hugging Face’s WebAI team released @huggingface/kernels, a lightweight library for loading and running optimised WebGPU kernels from the Hugging Face Hub. An initial collection of 207 kernels is also available as separate repositories under Apache-2.0.
Mistral and HUMAIN announced a strategic partnership covering infrastructure, advanced models and deployment, initially focusing on cybersecurity and voice, with frontier models strong in Arabic planned. Worth hundreds of millions of euros, it includes exploring HUMAIN data centres and joint market strategies for regulated Saudi industries.
Papers with Code uses hybrid retrieval, with Hugging Face Jobs generating embeddings in batches, Storage Buckets providing persistent transfer and Inference Endpoints supplying low-latency query embeddings. It covers over 110,000 papers from arXiv and Daily Papers.
Liquid AI released DSpark draft model checkpoints for LFM2.5-1.2B-Instruct, LFM2.5-2.6B and LFM2.5-8B-A1B. Speculative decoding accelerates decoding without changing output quality, increasing throughput by up to 3.18 times on GPUs and 2.87 times on devices.
A Hugging Face blog describes a constraint-aware GPU allocator compared with FIFO under identical hardware and workloads. Across five real contention scenarios, GPU utilisation rose from 52–85% to 72–88%, while priority-weighted output improved 24.6–105.1%, averaging 52%.
A Hugging Face blog tutorial demonstrates a streaming data loop for Strands Robots. The same Robot() object records demonstrations, syncs them to a Storage Bucket, streams training data from the Hub and deploys the checkpoint back to hardware, keeping the LeRobot disk format unchanged throughout.
Hugging Face's ALTK-Evolve and ACE both provide agent memory without weight updates, but differ in delivery: ACE injects the full playbook at every step, while ALTK-Evolve retrieves a small number of strongly supported guidelines for each task.
Mistral announced three AI sovereignty initiatives. Mistral Regional Endpoints are generally available, letting customers choose inference in Europe or the US. Mistral Priority Tier is in public preview, offering committed service levels, custom rate limits and uptime SLAs for critical workloads.
NVIDIA released Magpie TTS Multilingual, a 364M-parameter open-weight speech synthesis model supporting English, Spanish, French, German, Italian, Vietnamese, Chinese, Hindi and Japanese, plus newly added Modern Standard Arabic, Korean and Brazilian Portuguese, for 12 languages in total.
Baseten became a new Inference Provider on Hugging Face Hub, initially offering conversation and text generation with open-weight models including Kimi K3, DeepSeek V4 Flash and GLM-5.2.
Hugging Face's blog argues AI's next real constraint is GPU utilisation, rather than intelligence. GPUs are billed by calendar hours but produce only in compute hours, mirroring the cost structure of grounded aircraft.