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NVIDIA AI Cluster Runtime (AICR) uses reusable recipes to codify tuning configurations, generate deployment packages, and validate running clusters, helping Kubernetes environments support Vera Rubin NVL72 from Day 1. The Vera Rubin recipe series locks in configurations including the R615.23 open-source kernel module driver, DRA driver v0.5.0 (with ComputeDomains), and the 64k-page kernel of Ubuntu 26.04; end-to-end validation was completed on a reference cluster with GPU Operator v26.7.0, where

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NVIDIA has released the Cosmos Framework and Cosmos NIM for physical AI. The former provides modular tools and agent skills for training, reinforcement learning, optimization, and inference, while the latter provides accelerated inference services in container form. The Cosmos 3 Nano simulation recipe can generate synchronized camera video and LiDAR observations from released checkpoints, covering autonomous driving, robotics, and surgical scenarios. NIM uses quantization, speculative decoding,

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An Nvidia spokesperson said that Alice Huang, whom The New York Times described as being close to Jensen Huang and suspected by U.S. intelligence agencies of being a Chinese intelligence asset, is associated with the Singapore-based cloud service provider Megaspeed, and that Megaspeed is merely a regional cloud customer of Nvidia; it is normal for Jensen Huang to communicate with thousands of customers each year. The spokesperson said that allegations that Megaspeed evaded export controls were t

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On October 28, NVIDIA released Nemotron 3.5 Transcribe, an open-weight speech model that can transcribe audio in 40 languages, translate speech, and identify speakers, and developers can control the transcription format with natural language instructions without retraining. The model consists of a Transformer speech encoder, a speaker diarization model, and the Nemotron 3.5 Lightning language model, with approximately 4.3 billion activated parameters, and the released checkpoint is labeled 30B-A

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On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English

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On October 26, Meta announced it would raise $97.5 billion through an equity offering for AI infrastructure; Nvidia announced a $3 billion investment the same day, and AMD announced a $1 billion investment the following day. Meta plans to deploy the Nvidia Vera Rubin platform, Vera CPU, Spectrum-X Ethernet, and BlueField-4 DPU, and to deepen its collaboration with Nvidia on the Muse model and agents; on the AMD side, Meta has installed and tested the first batch of Helios rack-scale systems and

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The US Department of Justice is reviewing Nvidia's plan to acquire the open-source platform Hugging Face for $12.93 billion. Officials are asking whether the deal would give Nvidia control over a key hub for AI distribution and harm competitors. Nvidia expects the transaction to close in the first half of 2027. The same investigation also covers Nvidia's acquisitions, investments, and sales practices, as well as whether it exchanges more AI chips for customers also buying its networking equipmen

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NVIDIA has released Nemotron 3.5 Transcribe, an open-weight large speech model that supports 40 languages and up to 1 hour of audio per pass, and can select output formats such as verbatim, written, speaker-labeled, contextual, and translation via text instructions. The model has approximately 34B total parameters and about 4.3B activated parameters, adopts a hybrid Mamba-Transformer MoE architecture, can run in BF16 on a single H100 80GB, and the NVFP4 version at about 21GB can run on an RTX 50

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Nvidia pushed back against a report claiming that U.S. intelligence agencies surveilled individuals close to CEO Jensen Huang, with the focus on Alice Huang of the Singapore cloud service provider Megaspeed, whom officials allegedly suspected of passing information to Beijing. Nvidia said Megaspeed is one of its regional cloud customers, that contact between Jensen Huang and customer officials is routine, and that allegations that Megaspeed diverted AI chips to China were "thoroughly investigate

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NVIDIA has released the open-weight speech transcription model Nemotron 3.5 Transcribe, with 30B total parameters and 4B activated parameters. On Artificial Analysis's non-streaming speech transcription leaderboard, it achieves a 2.8% AA-WER, tying for first among open-source models with Mistral's Voxtral Small. On the speech agent dialogue dataset AA-AgentTalk, it leads Voxtral Small's 2.3% with 1.8%. Its activated parameters are 4B, while Voxtral Small's are 24B; other open-source models of co

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Nvidia has released the open-weight multilingual transcription model Nemotron 3.5 Transcribe, which ranks first on the Hugging Face Open ASR English open-source model leaderboard with an average word error rate of 5.33%. The model uses a 30B MoE architecture with 4B activated parameters, supports transcription in 40 languages and translation between 31 languages and English, can label speakers and distinguish up to 8 voices, handles recordings up to 1 hour long, but does not support real-time st

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NVIDIA has released the open-weight model Nemotron 3.5 Transcribe on Hugging Face and ModelScope, integrating transcription, speaker diarization, translation, and audio question answering into a single checkpoint. It supports transcription in 40 languages, translation between 31 languages and English, and speaker labeling in 13 languages, can process recordings up to 1 hour long, and can label up to 8 speakers. The model ranks first among open-weight models on the English leaderboard of the Hugg

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NVIDIA announced multiple updates for RTX Spark thin-and-light laptops, including the open-weight voice model Nemotron 3.5 Transcribe, support for Liquid AI's LFM3 model family, and a control in the NVIDIA App that can allocate GPU resources between foreground applications and background agents. Nemotron 3.5 Transcribe supports transcription, speaker labeling, and translation in 40 languages, has approximately 4.3 billion active parameters, and is now available on Hugging Face. RTX Spark laptops

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Nvidia has released the free open-weight model Nemotron 3.5 Transcribe, which can transcribe audio in up to 40 languages, and simultaneously launched version 2 of the open speech dataset Granary. The model supports translation between 31 languages and English, processes recordings up to one hour long, and distinguishes up to 8 speakers; Nvidia claims it outperforms competing products on benchmarks such as the Hugging Face Open ASR Leaderboard. The model has 30 billion parameters and can run on J

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Meta announced that Nvidia and AMD plan to subscribe to a combined $4 billion of shares in its stock offering of up to $95 billion, with Broadcom also participating, for a combined investment of $5 billion from the three chipmakers. Nvidia is contributing $3 billion, and Meta will expand its use of Nvidia's Rubin GPUs, Vera CPUs, Spectrum-X Ethernet products, and BlueField-4, and will leverage Nvidia to optimize the performance and cost of the Muse large model and consumer-grade AI agents. AMD i

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Nvidia and Meta announced an expansion of their collaboration on Muse AI models and agents, with Nvidia set to invest $3 billion in Meta's equity offering. The two companies will collaborate around the Nvidia OpenShell reference architecture, including Nvidia OpenShell for secure deployment and Nvidia Sentry for agent behavior monitoring; Meta will also extend its use of Nvidia infrastructure to Vera Rubin, Vera CPU, as well as Spectrum-X and BlueField-4 Ethernet. Meta currently uses Nvidia infr

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