Liquid AI unveils screen-reading model that runs in 3GB
LFM2.5-VL-3B hits 20 tokens/sec on Galaxy S26 Ultra, 228 tokens/sec on M5 Max
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NVIDIA
A company that makes the chips that power AI. Rather than a competitor in the chatbot race, it's the one selling picks and shovels to everyone in it. Its flagship products are GPUs and the AI infrastructure software built on top of them. In August 2026, it began officially supporting its cloud gaming service GeForce NOW on Linux, and around the same time, it published a method for isolating Kubernetes tenants on shared GPUs. In autonomous driving, it introduced a 34-billion-parameter reasoning model, and in robot policy learning, it presented a video-based learning approach. It also tried to expand the AI ecosystem for handling the physical world through its open world model 'Cosmos 3'.
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NVIDIA · Related stories
Together AI, IBM, and NVIDIA Build B300 Cluster on IBM Cloud
IBM Cloud's first dedicated B300 cluster combined with Spectrum-X networking unveiled as inference infrastructure
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Meta, Google, NVIDIA go open source; OpenAI stays closed — strategies diverge
The gap between companies that sell hardware and companies that profit from APIs over open-source strategy has become a talking point in the community
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Factory Builds AI Dev Environment Where Code Never Leaves the Machine, on DGX Spark
By running NVIDIA Nemotron 3.5 Lightning on local hardware, the company automates software development without exposing source code
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Ant Group's Ling 3.0 Tiny scores 25 on intelligence index with 1.3B active parameters
Its accuracy was the lowest in its class, but its hallucination rate was also the lowest at 30%. The tradeoff: 50,000 tokens per answer.
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LTX-2.5, open video generation model runs on a single consumer RTX GPU
An open-weight world model that produces a 10-second clip in 6.8 seconds, optimized for NVIDIA GPUs
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NVIDIA to Guarantee Up to 25% of Its Own Chips' Value, Raising $500 Billion
Deal with six firms including Goldman Sachs, BlackRock to secure AI infrastructure funding; Bernstein and others warn of depreciation risk
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NVIDIA releases open model 'Nemotron 3.5 Lightning,' a 30B model that runs on just 3B active parameters
The MoE architecture activates only 3B of its total 30B parameters per token, and NVIDIA claims up to 4x faster output than comparable models
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XPeng Autonomous Driving Chief Gives Exclusive VLA 2.0 Interview
Head of the General Intelligence Center answers directly on autonomous driving's limits and Europe entry timing
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Apple unveils technique to block fine-tuning of AI model weights
"DLR-Lock" research lets users run open-weight models as-is while blocking modification
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Dyna Robotics unveils robot model trained on 1 million hours of human video
DYNA-2, a robot foundation model pretrained on 170 years' worth of human behavior video, emerges
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Meta releases 30B-parameter open model for local agents
Muse Glimmer is an agent-specialized model that runs on 24GB-class consumer GPUs with 4-bit quantization
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NVIDIA · Recent announcements
- 251엔비디아, 허깅페이스 129억달러에 인수
- 64410 million downloads for NVIDIA Warp
- 460Already running an inference engine? So where does NVIDIA Dynamo fit in?
- 170Can a security defense catch an attack it hasn’t seen before?
- 72Ask the Experts: NVIDIA NeMo Switchyard | Nemotron Labs
- 73Run Your Polars Code on Multiple GPUs | Live with cuDF Polars
- 9nvidia/DeepSeek-V4-Pro-0813-NVFP4 · text-generation
- 2nvidia/Muse-Glimmer-30B-NVFP4 · image-text-to-text
- –NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier
- –GeForce NOW Gives Gamers More Ways to Play at Gamescom 2026
- –Delivering Vera: NVIDIA’s First CPU Built for Agents Is Shipping Now
- –NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory