Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5
Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a...
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ollama v0.40.16
Ripple Preview [Ripple Preview](https://ollama.com/library/ripple-preview) from Ricursive Intelligence is a 65B dense model built for agentic coding. sh ollama run ripple-preview What's Changed - Qwen3.8 Flash Next uses about 27 GiB less memory on Apple silicon - ollama launch claude always routes Claude Code to the selected model - ollama launch explains when a cloud model has been retired - /v1/responses…
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Jensen Huang’s affair with alleged Chinese spy puts Nvidia’s China ambitions under scrutiny
Jensen Huang’s alleged affair with a suspected Chinese spy threatens to complicate Nvidia’s lobbying efforts to loosen U.S. chip export restrictions and maintain access to…
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The future of AI hinges on… Jensen Huang’s sex life?
I would prefer that these people's sex lives were none of my business but I guess we have to talk about Jensen Huang and the…
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Inference Validation for Regulated AI: Building a Decision Pipeline on NVIDIA AIPerf
Deploying large language models in regulated industries requires more than picking the fastest inference engine: it requires evidence that a configuration meets contractual and legal obligations before it serves a single customer request. We describe Runway, an internal validation harness built at MasterControl that builds a governed decision pipeline around NVIDIA AIPerf. The key insight is separating concerns: AIPerf provides the trusted measurement, while Runway provides the experiment design that comes before it and the compliance, cost, and audit decisions that come after. We describe the architecture and the storage model that makes caching and audit one mechanism. We report three findings from Runway sweeps: TensorRT-LLM and vLLM rankings invert with concurrency; a newer, pricier GPU instance can be the cheaper one per request; and speculative decoding behaves differently across engines under load, so engine configuration can outweigh engine choice.
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NVIDIA Announces New Planned Investments in Korean Startups at the MSIT-NVIDIA AI Startup Partnership Forum
Korea’s Ministry of Science and ICT and NVIDIA hosted the MSIT-NVIDIA AI Startup Partnership Forum at COEX. Ryu Je-myung, vice minister of science and ICT, joined NVIDIA leaders to meet with over 20 Korean startups across foundation models, physical AI, AI infrastructure and AI semiconductors. NVIDIA also announced an investment in Korean startup Point2, with […]
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Is Jensen Huang’s job on the line? Yale’s Jeffrey Sonnenfeld estimates it’s “about a 50-50”
Nvidia’s board is investigating Jensen Huang over his relationship with a suspected Chinese spy, and Yale’s Jeffrey Sonnenfeld thinks it’s roughly a coin flip whether…
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Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA
As AI agents take on more work, they need capable open models and security that advances alongside them. Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort platform with NVIDIA OpenShell to support secure AI agents for employee productivity and enterprise workflows. A key […]
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From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration
NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lays the groundwork for Korean NPU and XPU companies to explore participation in the NVIDIA NVLink Fusion ecosystem, and includes […]
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NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production
NVIDIA is releasing Dynamo-optimized deployment recipes for Korea’s leading open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies. As models grow beyond the capacity of a single GPU, they must be split across multiple GPUs, requiring careful coordination of request routing […]
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Here’s the full text of Jensen Huang’s memo to Nvidia
On Sunday, Nvidia announced it was launching an investigation into CEO Jensen Huang's relationship with Alice Huang, an AI executive and agent of the Chinese…
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Nvidia says it’s investigating CEO Jensen Huang’s relationship with possible Chinese spy
In a memo to the company, Huang admitted that he had an affair.
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Nvidia is investigating Jensen Huang’s relationship with a Chinese spy
Nvidia has announced that it is opening an investigation into CEO Jensen Huang and his relationship with Megaspeed executive Alice Huang, who was reportedly recruited…
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Vietnamese Legal Ontology: Every legal answer, traced to the article that grounds it
A legal answer is only as good as the article it rests on. Vietnam's largest open legal corpus pairs 109,543 published questions and answers with 573,851 legal documents, yet its citations are free text: "Khoan 3 Dieu 101 cua Bo luat nay" ("Clause 3, Article 101 of this Code") names neither the code nor its version. Following the five stages of NVIDIA Auto Ontology, Discover, Ground, Validate, Expose and Learn, we turn four open datasets into a knowledge graph of 11.5 M nodes and 16.0 M edges in which every node and edge carries its source record and method, with no duplicate keys, dangling edges or schema violations. Of 67,868 cited provisions, 61,487 resolve to a dated law version, 51,694 to a parsed article, clause or point, and 19,012 are confirmed word for word. The ontology then shows what flat records hide. 36% of the 78,361 answers whose citations resolve now cite a law that is no longer in force; 2,525 verified citations point to an article number that says something else in the current law; 2,520 citations were re-versioned because their words match a different version than their date suggests; and 5,575 document numbers are shared by several local authorities, one of them by 72. Every number in this paper is computed from the graph.
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Megaspeed exec was recruited to spy on Nvidia CEO, according to US intelligence memo
A memo circulated earlier this year reportedly claimed that China’s Ministry of State Security recruited a female technology executive to spy on Nvidia's CEO.
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The US let Nvidia sell chips to an empty office in China
Concerns are being raised that neither the Commerce Department nor Nvidia are doing their due diligence when it comes to vetting Chinese firms cleared to…
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AI broke the cybersecurity world. What’s next?
Today, I’m talking with Alex Stamos, chief security officer at Cognition and longtime cybersecurity expert, about what a mess cybersecurity is right now. This episode…
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Hibana: Fast Agentic Inference on Unified-Memory Devices
Local AI promises capable personal assistants that run on users' own devices, keeping data and computation under their control. Open-weight models that fit on local devices can now handle practical tasks such as coding. Yet current inference engines fall short. Popular engines such as vLLM and SGLang target datacenter GPUs with dedicated host memory, while local engines underuse the memory hierarchy of unified-memory devices. We present Hibana, an inference engine for unified-memory devices that co-optimizes model representation, memory management, and decoding strategy. Model surgery, the process of editing a trained model's architecture to suit its hardware, changes how the model computes, shrinking its memory footprint and data movement. Unified-memory management preserves each agent's state across turns, so long-running agents can resume instantly instead of recomputing their state. Adaptive speculation generates several tokens per step. Hibana codesigns these features around the shared memory capacity and limited bandwidth of unified-memory systems-on-chip to support local multi-agent workloads. On a single DGX Spark serving Qwen and Nemotron models of up to 125B parameters, Hibana completes up to 3.4more agentic tasks per hour and delivers up to 3.9higher decoding throughput than other established frameworks such as vLLM, NVIDIA Flare, llama.cpp, and TensorFold. Code is available at https://github.com/sharar-project/hibana.
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China reportedly recruited AI exec to spy on Jensen Huang
China's intelligence agency recruited Megaspeed executive Alice Huang to spy on Nvidia CEO Jensen Huang, according to The New York Times. The Ministry of State…
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