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Latest AI news, models and releases from NVIDIA. ['A100', 'AI Aerial', 'AI platform', 'Alpamayo', 'B200', 'B300', 'BioNeMo', 'BioNeMo Agent Toolkit', 'Blackwell', 'Blackwell NVL72', 'Blackwell Ultra', 'BlueField-4', 'BlueField-4 DPU', 'BlueField-4 STX', 'Boltz-2', 'Canary-Qwen-2.5B', 'CMX', 'ConnectX-9', 'ConnectX-9 SuperNIC', 'Cosmos', 'Cosmos 3 Edge', 'Cosmos 3 Edge Policy (DROID)', 'Cosmos 3 Nano', 'Cosmos 3 Super', 'Cosmos 3 Super 4-Step Distillation', 'Cosmos-Dreams', 'Cosmos-H Dreams', 'Cosmos-H-Dreams', 'Cosmos-H-Surgical-Simulator', 'Cosmos-Predict2.5-2B', 'Cosmos-Reason2-2B', 'CUDA', 'DeepSeek-R1', 'DeepSeek V4', 'DeepSeek V4 Pro', 'DGX GB300', 'DGX Spark', 'DGX SuperPOD', 'DGX Vera Rubin NVL72', 'DPU BlueField-4']

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Models 🇺🇸 ⚡

Mistral AI unveils Mistral 3 model family, including Mistral Large 3

Mistral AI announces the Mistral 3 family, featuring three dense models (14B, 8B, 3B) and the flagship Mistral Large 3, a sparse MoE model with 41B active and 675B total parameters. All models are released under Apache 2.0. Mistral Large 3 achieves frontier performance, image understanding, and multilingual capabilities, ranking #2 among OSS non-reasoning models on LMArena.

Mistral

Mistral AI

NVIDIA

Red Hat

vLLM

Mistral AI27.07 · 17:04

Research 🇺🇸

State of LLMs in 2025: Progress, Challenges, and Predictions

In 2025, LLM development was dominated by reasoning models using reinforcement learning with verifiable rewards (RLVR) and the GRPO algorithm, sparked by DeepSeek R1. Key trends include a focus on inference-time scaling, MoE architectures, and efficiency tweaks like Gated DeltaNets. Academic research highlighted GRPO variants with improvements such as zero gradient filtering and token-level loss.

DeepSeek

OpenAI

Alibaba/Qwen

Moonshot AI

NVIDIA

Google/DeepMind

Sebastian Raschka27.07 · 17:03

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