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Oct 292026Thursday

23:59
CNBC TechnologyOct 29 23:59
Nvidia Responds to New York Times Report: People Close to Jensen Huang Suspected of Being Chinese Intelligence Assets; Chip Transshipment Allegations Were Investigated and Clarified Last Year
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 thoroughly investigated and clarified last year, and that customers cannot access Nvidia's trade secrets or related national security information. Nvidia also said that if the U.S. government believes anyone poses a threat to American industry, it will inform the company.
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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#tech-media #Industry news #OpenAI
14:50
Testing CatalogOct 29 14:50Selected
NVIDIA Releases Nemotron 3.5 Transcribe Open-Weight Speech Model
NVIDIA has released Nemotron 3.5 Transcribe, an open-weight 30B MoE model with approximately 4B active parameters. The model supports transcription in 40 languages, speaker attribution, translation, contextual prompting, and audio understanding, and ranks first in VoiceArena's 14-system comparison of speaker diarization plus ASR.
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#hot-signal #Model releases #Speech #Open-source ecosystem
10:28
ModelBest OpenBMBOct 29 10:28
ModelBest's ForgeKernel Tops NVIDIA SOL Bench FIB Track
ModelBest OpenBMB announced that ForgeKernel ranks first on both the FIB track of NVIDIA SOL Bench and Huawei CANNBench. Currently, ForgeKernel's goal is to surpass top human experts on one of DeepSeek's most complex operators.
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#editorial #Evaluations / benchmarks #Agents #Open-source ecosystem
18:37
Analytics India MagazineOct 29 18:37
NVIDIA Releases Nemotron 3.5 Transcribe Open-Weight Speech Model, Supporting 40 Languages
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-A4B. NVIDIA says it achieves an average word error rate of 4.71% on nine public test sets of the English Open ASR Leaderboard and 4.62% on seven languages of the multilingual leaderboard, and calls it the best open-weight model on both leaderboards; the model is released in BF16, FP8, and NVFP4 formats as well as GGUF files, under the OpenMDW-1.1 license.
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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#hot-signal #Model releases #Speech #Open-source ecosystem
16:21
gihyo.jpOct 29 16:21
NVIDIA Releases Speech Transcription and Translation Model Nemotron 3.5 Transcribe
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 translation. The weights are released on Hugging Face as NVIDIA-Nemotron-3.5-Transcribe-30B-A4B under the OpenMDW-1.1 license, with BF16, FP8, and NVFP4 versions and NeMo Speech fine-tuning tools provided.
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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#hot-signal #Model releases #Speech #Open-source ecosystem
17:00
Data Center KnowledgeOct 29 17:00
Nvidia and AMD together invest $4 billion in Meta, alongside its $97.5 billion AI infrastructure financing
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 plans to deploy custom AMD Instinct GPUs built for it.
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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#hot-signal #Industry news #English text is being prepared.#OpenAI
22:07
The DecoderOct 29 22:07
US Department of Justice Reviews Nvidia's Hugging Face Acquisition and Sales Practices
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 equipment and Groq processors. It has previously examined the acquisitions of SchedMD and Run:ai and the licensing agreement with Groq. France's competition authority is also investigating Nvidia, focusing on the industry's dependence on CUDA and its stakes in cloud providers such as CoreWeave.
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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#ai-vertical #Industry news #English text is being prepared.#Hugging Face
12:41
MarkTechPostOct 29 12:41
NVIDIA Releases Nemotron 3.5 Transcribe: An Open-Source 30B MoE Speech Model…
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 5090. NVIDIA self-reports an average WER of 4.71% across 9 public English Open ASR test sets, the best result among open-weight models, though commercial APIs still lead; its shortcomings are that it only supports offline operation, and the Chinese far-field meeting cpCER is 34.95%.
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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#ai-vertical #Model releases #Speech #Open-source ecosystem

Oct 302026Friday

00:20
Rohan PaulOct 30 00:20
Nvidia denies that U.S. intelligence agencies surveilled people close to Jensen Huang
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 investigated and disproven last year." The company also said it had not received any warnings from Washington.
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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#ai-news #Industry news #English text is being prepared.
07:45
Rohan PaulOct 30 07:45
Nvidia in talks to guarantee over $5 billion in construction debt for Nscale's 460MW Anthropic data center
Nvidia is in talks to guarantee potentially more than $5 billion in construction debt for Nscale's 460MW Anthropic data center in West Virginia, according to The Information. The unsigned agreement guarantees the building value rather than the lease or chips, which could allow Nscale to borrow on investment-grade terms. If Nscale defaults on construction payments, Nvidia will pay on its behalf, temporarily operate the site, and arrange a sale and leaseback.
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#ai-news #Industry news #English text is being prepared.#OpenAI

Oct 282026Wednesday

23:05
Artificial AnalysisOct 28 23:05
NVIDIA releases the Nemotron 3.5 Transcribe speech transcription model, tying for first among open-source models with 2.8% WER
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 comparable scale have a WER of about 4%.
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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#editorial #Evaluations / benchmarks #Speech #Open-source ecosystem
18:34
Robotics & Automation NewsOct 28 18:34
Siemens and Nvidia advance AI-driven PCB inspection with digital twins and Cosmos
Siemens and Nvidia have partnered to combine Teamcenter, Process Preparation X and Nvidia Cosmos to complete AOI inspection preparation and calibration for PCBs using digital twins and synthetic images before physical production. The solution was demonstrated at Siemens' Erlangen electronics factory, with the goal of reducing manual engineering effort in AOI program generation by up to 85%, cutting false positives by 40%, and improving first-pass yield by more than 5%.
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#hot-signal #Industry news #Embodied AI #English text is being prepared.
23:00
The New StackOct 28 23:00
Nvidia Releases Nemotron 3.5 Transcribe Promptable Transcription Model
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 streaming. Users can provide instructions such as context and terminology before transcription; the model can be deployed with vLLM or run locally on a single GPU via NeMo-Speech.cpp; Nvidia has also released the data curation pipeline Granary v2 and a public manifest of approximately 463,062 hours across 48 languages.
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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#hot-signal #Model releases #Speech #Open-source ecosystem
22:58
Hugging FaceOct 28 22:58Selected
NVIDIA Releases Nemotron 3.5 Transcribe and Granary v2 Data Pipeline
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 Hugging Face Open ASR Leaderboard with an average WER of 5.33%, and achieves 2.8% AA-WER on Artificial Analysis with approximately 4B activated parameters. The simultaneously released Granary v2 covers 48 languages and 463,062 hours of speech data, and the accompanying NeMo Speech fine-tuning recipe reduced WER on held-out speakers from 22.44% to 12.17% in a medical case.
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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#lab #Model releases #Speech #Open-source ecosystem
23:00
NVIDIA BlogOct 28 23:00
NVIDIA RTX Spark Laptop Update: Adds Nemotron 3.5 Transcribe and Local Agent Tools
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 are now shipping from ASUS, Dell, HP, Lenovo, Microsoft, and MSI, with a starting price of $2,599.
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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#lab #Product updates #English text is being prepared.#Speech
23:00
TechCrunch AIOct 28 23:00
Nvidia Releases Open Source Transcription Model Nemotron 3.5 Transcribe
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 Jetson AGX Thor, DGX Spark, and Blackwell data center chips, but it only supports recorded audio and does not support live streams.
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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#tech-media #Model releases #Speech #Open-source ecosystem
05:12
SiliconANGLEOct 28 05:12
Nvidia and AMD to Subscribe to $4 Billion of Meta Shares, Expand Chip Cooperation
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 is contributing $1 billion; Meta has already deployed the first batch of Helios racks based on Instinct MI450 in its data centers and is testing them, and will subsequently adopt custom AI accelerators based on the AMD Instinct architecture.
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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#hot-signal #Industry news #English text is being prepared.#English text is being prepared.
00:00
NVIDIA：NewsroomOct 28 00:00
NVIDIA and Oracle to Scale Vera Rubin to Multi-Gigawatt Scale, Vera CPU Now Available on OCI
NVIDIA and Oracle announced plans to scale NVIDIA Vera Rubin NVL72 systems in OCI Superclusters to multi-gigawatt scale, while Vera Rubin NVL72 and NVIDIA Vera CPU are now generally available on OCI. OCI Superclusters connect 72 GPUs per rack via NVLink and use Spectrum-X Ethernet and BlueField-4 DPUs; the two parties say customers can scale CPU and GPU resources independently to reduce idle capacity. OpenAI has already used more than 100,000 NVIDIA Blackwell GPUs on the OCI Supercluster in Abilene to train and run GPT-6 Astra, and said it will put Vera into production to support agent sandbox workloads.
NVIDIA and Oracle announced plans to scale NVIDIA Vera Rubin NVL72 systems in OCI Superclusters to multi-gigawatt scale, while Vera Rubin NVL72 and NVIDIA Vera CPU are now generally available on OCI. OCI Superclusters connect 72 GPUs per rack via NVLink and use Spectrum-X Ethernet and BlueField-4 DPUs; the two parties say customers can scale CPU and GPU resources independently to reduce idle capacity. OpenAI has already used more than 100,000 NVIDIA Blackwell GPUs on the OCI Supercluster in Abil
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#ai-news #Industry news #English text is being prepared.#Agents
00:00
NVIDIA Developer · Generative AIOct 28 00:00
NVIDIA Explains How to Fine-Tune Nemotron 3.5 Lightning with the Nemotron-Personas Dataset
NVIDIA has released the Nemotron-Personas France and Belgium datasets and provided a complete post-training workflow for fine-tuning Nemotron 3.5 Lightning with them. The workflow includes defining behavior contracts, generating synthetic conversations with personas, fine-tuning with LoRA on NVIDIA NeMo, merging adapters, and then comparing and evaluating item by item against the base model on a frozen test set. The France dataset was built in collaboration with Pleias, and the Belgium dataset involved Pleias and KU Leuven; the Nemotron repository provides reusable steps and agent skills for data generation, training, and evaluation.
NVIDIA has released the Nemotron-Personas France and Belgium datasets and provided a complete post-training workflow for fine-tuning Nemotron 3.5 Lightning with them. The workflow includes defining behavior contracts, generating synthetic conversations with personas, fine-tuning with LoRA on NVIDIA NeMo, merging adapters, and then comparing and evaluating item by item against the base model on a frozen test set. The France dataset was built in collaboration with Pleias, and the Belgium dataset i
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#lab #Tutorials / practice #English text is being prepared.#Open-source ecosystem

Oct 272026Tuesday

22:41
ThurrottOct 27 22:41
Nvidia and Meta Expand Muse AI Model and Agent Partnership; Nvidia to Subscribe to $3 Billion of Meta Equity
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 infrastructure to run Muse AI models and agents.
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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#hot-signal #Industry news #Agents #English text is being prepared.