NVIDIA news: AI chips and GPUs
NVIDIA GPUs and the CUDA ecosystem power most AI training and inference. New chips, earnings, export controls, partnerships and open models, with sources.
- Open source
Open-source tool GPU Unlock unlocks AI performance on RTX 30 series
The open-source project GPU Unlock removes artificial limits on Ampere architecture cards without changing drivers or VBIOS. It nearly doubles tensor core throughput under specific loads, improving AI compute performance.
- Products
NVIDIA Releases RTX Remix 1.6 Update
NVIDIA updated RTX Remix to version 1.6, introducing DLSS 5's AI neural rendering and experimental support for Minecraft Java Edition. The update enhances AI modding tools, allowing developers to use AI to reconstruct ray-traced visual effects for older games.
- Open source
NVIDIA Releases Nemotron 3.5 Bolt E4B
NVIDIA released the open-source small language model Nemotron 3.5 Bolt E4B, post-trained from Gemma 4 E4B. Optimized for RTX and Jetson platforms, it requires about 4GB of VRAM and targets local voice agents, game characters, and robots.
- Chips
NVIDIA Unveils DSX Architecture to Save 30% Power in AI Data Centers
NVIDIA showcased its DSX architecture in Berlin, focusing on improving efficiency on the power consumption side. The solution can save up to 30% power for AI data centers, addressing power shortage challenges in AI expansion.
- Open source
Kyutai releases open-source video autoencoder CADRE
Kyutai released CADRE, a family of seven open-source causal diffusion video autoencoders. Interactive world models built on it run at 20 fps on one H100 with reaction times under 230 ms.
- Research
Domestic Team Runs 34B World Model on Single 5090 GPU
A Chinese developer successfully ran a 34B parameter real-time world model on a single RTX 5090 GPU, winning an NVIDIA award.
- Chips
SemiAnalysis: Huawei hardware trails NVIDIA but software catches up
DeepSeek released software support for Huawei Ascend chips, which SemiAnalysis tested on the Ascend 950PR. The report states that Huawei hardware lags NVIDIA by about five years, but its software ecosystem is approaching frontier levels. The collaboration helps fill gaps in compute and research capabilities.
- Products
inDrive, Pony.ai, and NVIDIA to Test Robotaxis in Central Asia in 2027
inDrive plans to test Pony.ai's robotaxis in Kazakhstan's capital in early 2027, partnering with NVIDIA. This marks the service's official entry into the Central Asian market.
- Chips
NVIDIA GTC Berlin Kicks Off as矽品CPO Capacity Set to Grow 30x
NVIDIA's GTC Berlin event is scheduled for October 21. SigmaStar is reportedly expanding its CPO capacity by up to 30 times to meet the demand for high-speed computing and connectivity in AI factories. This move reflects the continued expansion of AI compute infrastructure, benefiting supply chain partners.
- Funding
SpaceX to Borrow $40B for Nvidia Chips
SpaceX plans to borrow $40 billion to purchase Nvidia chips. The company and Tesla have formed special committees to discuss a merger, highlighting the financial impact of AI compute demand.
- Products
Liquid AI Releases RIPL Real-Time Inference Engine
Liquid AI released RIPL, a real-time inference engine for its LFM models. Tests on a single B200 GPU showed LFM2.5-1.2B achieved 14.4 to 28.4 times lower p95 latency compared to Qwen3.5-0.8B on vLLM.
- Policy
OpenAI and Nvidia record lobbying spend
Federal disclosures show OpenAI, Anthropic, and Nvidia recorded their highest lobbying spend in Q3. Nvidia spent the most at $2.2 million, followed by Anthropic at $2.1 million and OpenAI at $1.5 million, indicating increased policy engagement by AI leaders.
- Products
NVIDIA Launches Minerva AIOps Platform
NVIDIA launched Minerva, an AIOps platform designed to enhance end-to-end observability in AI factories. The platform combines telemetry from infrastructure and AI workloads, applying purpose-built AI models to help teams detect issues early and maintain operational efficiency.
- Open source
NVIDIA Expands Cosmos for World Models
NVIDIA expanded the Cosmos platform with new training tools, simulation checkpoints, and data factory blueprints to help developers build world models for physical AI systems. The platform ranks in the top five on six open model leaderboards, strengthening its position in the physical AI sector.
- Products
NVIDIA DSX Helps Break Power Bottlenecks
NVIDIA's DSX AI Factory Platform helps companies plan and simulate grids and AI factories as a unified system to address power bottlenecks in infrastructure. Over $300 billion in investment highlights the urgency of this issue, with the platform supporting operations from substations to racks.
- Research
NVIDIA Kumo Outperforms Supervised ML on Relational Data
NVIDIA released research stating that its Kumo Relational method outperforms supervised machine learning on relational data without requiring training. The study highlights potential advantages of the new architecture for specific data types.
- Chips
Nvidia unveils Vera Rubin reference design for AI data centers
Nvidia unveiled the DSX POD, a reference design based on the Vera Rubin platform, at GTC Berlin 2026. The design aims to help infrastructure providers accelerate AI data center construction, claiming deployment times can be reduced to 14 days.
NVIDIA BlogiThome2 outlets
- Products
NVIDIA Cloud Partners Scale AI Compute in Europe
NVIDIA cloud partners in Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity to meet demand from AI-native developers. These partners offer customizable open-source model services and full-stack infrastructure. The expansion aims to bring compute closer to data and enable safe deployment of AI agents.
- Products
NVIDIA Expands Confidential Computing for Secure Model Scaling
NVIDIA expanded its confidential computing capabilities, enabling frontier model builders to securely scale across global infrastructure. The announcement includes the OpenShell Reference Architecture to protect models and data while agents run. This strengthens AI infrastructure security and reduces risks in deploying frontier models.
- Products
NVIDIA Expands Agent Toolkit for Enterprise Data Grounding
NVIDIA has expanded its open-source Agent Toolkit with new tools to help enterprises customize and control AI agents. The toolkit enables agents to use company data to inform their responses and actions, with monitoring capabilities included. This update helps enterprises deploy data-grounded AI agents more securely.
- Products
NVIDIA Showcases Local AI Hardware at GTC Berlin
NVIDIA showcased local AI hardware including RTX Spark and DGX Spark at GTC Berlin. These devices aim to support personal agents and enterprise development, further advancing the localized intelligent computing ecosystem.
NVIDIA Blog2 outlets
- Products
Google releases tool to help developers move off Nvidia GPUs
Google released a developer tool that helps PyTorch users move their applications off Nvidia GPUs, joining Amazon in challenging Nvidia's dominance in the AI compute market. This may shift infrastructure choices among AI developers.
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