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v0.30.0

v0.30.0 Highlights This release features 762 commits from 315 contributors (104 new)! New models : DeepSeek-V4.1-Flash ( #56214 , #56228 , #56208 ) with the whole KV stored in MXFP8 through the FlashMLA V4.1 record on SM100 ( #56893 ), DeepGEMM Mega-mHC ( #56962 ), and async Engram prefetch with Engram DP sharding ( #56512 ); DeepSeek-V4-Flash-Vision-Exp ( #54566 ), also on ROCm ( #55107 ) and with LoRA ( #55897 ); GLM-5.3-Flash ( #53906 ) with EPLB ( #55119 ); K2-Horizon ( #55063 ); Cohere Compass ( #54774 ); Bailing V3 VL ( #55921 ); Nanbeige4.2 via the Transformers backend ( #56071 ); and a DeepSeek-V4 CPU backend with AVX512/AMX sparse ML

How UK AISI and EvalEval Are Making Benchmark Results Reproducible

Transformers now runs llama.cpp quants

Introducing Claude Opus 5.5

xAI’s Grok 4.6 is now available in Amazon Bedrock

xAI's Grok 4.6 is now available in Amazon Bedrock: a frontier model for long-running agents, coding, and knowledge work, with a 500K token context window and four reasoning effort levels. It runs on both the bedrock-mantle and bedrock-runtime endpoints, with Converse API and cross-Region inference support.

Improving synthesis prediction of small molecules at scale with RetroChimera

Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of small molecules at scale with RetroChimera appeared first on Microsoft Research .

Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem

tokenizers v1: encode, decode and scaling, measured

MilleMiglia: A realistic instance generator for middle-mile logistics

Algorithms & Theory

Partnering with Accenture on embedded evaluation

Introducing the Life Sciences Verification Program

University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help — but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the […]

Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train

Algorithms & Theory

Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking

AI for everyone in every language

Animation of several words in different languages slowly zooming past

Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

ToolGrad: Efficient tool-use dataset generation with textual "gradients"

Machine Intelligence

How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.

Release 5.17.0

Release v5.17.0 New Model additions HYV4 Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token. Each MoE layer holds 256 routed experts plus one always-active shared expert and routes every token to 8 of them. The context window is 1M tokens. The architecture combines four features: Multi-head Latent Attention (MLA) compresses keys and values into a low-rank latent ( kv_lora_rank ) that kv_b_proj expands back to one key/value per query head. DeepSeek Sparse Attention (DSA) selects index_topk keys per query with a lightweight indexer. Following IndexShare , only the layers marked "full" in in

Beyond the benchmark: How an adaptive approach drives scientific discovery

For research and development (R&D) organizations, the promise of agentic AI is not a better one-time answer. It is a new way to explore complex scientific and engineering problems: pursuing multiple hypotheses, validating them against evidence, learning from what does not work, and adapting their approach as new information becomes available. The post Beyond the benchmark: How an adaptive approach drives scientific discovery appeared first on Microsoft Azure Blog .

AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome

AlphaGenome Atlas maps the molecular effects of 9 billion single-letter DNA variants across the human genome.

Transfer learning for genomic prediction in underrepresented populations

General Science

A connectomics milestone: Mapping the complete male fruit fly brain

General Science

Introducing WeatherNext 3, our most advanced and accurate global weather AI model

NeoMME: an efficient Multimodal-native and Multilingual Encoder

Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps

Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

BenchMIRT: What are LLM benchmarks actually measuring?

Mapping global methane emissions from space with deep learning

Climate & Sustainability

Introducing Claude Fable 5.1 and Claude Mythos 5.1