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AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：5 Join the conversation Follow us Add us as a preferred source on Google A Russian Molniya drone carrying an Nvidia Jetson Orin module crashed and killed three civilians at a gas station in Zaporizhzhia last month after…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Now Perplexity is trying to get into the local AI action Amid talk of an Nvidia deal, the AI search biz is looking beyond the cloud Thomas Claburn Thomas Claburn AI AND SOFTWARE REPORTER Published wed 26 Aug 2026 // 00:…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Perplexity AI Inc. today introduced Portable Computer, an artificial intelligence agent designed to run on desktops equipped with Nvidia Corp. silicon. The launch follows a report that Nvidia is weighing an investment in the startup that could value it at over $30 billion. Furthermore, Nvidia has reportedly floated the idea of licensing Perplexity’s technology and […] The post Perplexity AI launches Portable Computer on-device AI agent appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Perplexity releases Portable Computer, packaging local models, harness, sandbox, and connectors into one system running on NVIDIA DGX Spark. The post Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local Steps appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Among those charged are two Super Micro employees and one from Nvidia, marking another flashpoint in US-China AI rivalry Taiwanese prosecutors charged nine people Monday, including one from Nvidia and two from Super Micro, for illegally exporting “high-end AI servers” to mainland China, adding another wave of turbulence in the AI ​​rivalry between China and the United States. Prosecutors said the servers involved were graphics processing units known as “B300,” which have been banned from sale to China. Continue reading...

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Chipmaker Nvidia Corp. says its dedicated artificial intelligence inference accelerator Groq 3 LPX has now entered full production as it strives to maintain its dominance in the world of AI compute. The new chip, announ…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Perplexity, in partnership with Nvidia, has taken Computer, its agentic AI assistant, and brought it to the desktop in the The post Perplexity’s Computer agent can now run locally — if you can afford it appeared first on The New Stack.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：NVIDIA is bringing the next wave of RTX gaming to the Gamescom conference running this week in Cologne, Germany, with support for new games, anti-cheat technologies and increased visual quality. Electronic Arts, Embark and Ubisoft are among the latest game publishers and developers bringing their blockbuster titles to NVIDIA RTX Spark ahead of its launch […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia Corp. today announced the release of Jetson Orin Nano 2, a robotics computer “brain” for running artificial intelligence and frontier-level models at the edge. In the past months, foundational AI models have grown smaller and more efficient, adding numerous capabilities alongside language understanding, computer vision and audio processing. As more AI models compress in […] The post Nvidia doubles compute for entry-level edge robotics with Jetson Orin Nano 2 appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The artificial intelligence infrastructure market is crossing an important threshold. The conversation is shifting from acquiring graphics processing units to building complete AI factories that can generate tokens reliably, efficiently and at scale. This is the next bottleneck. GPUs may be the engine, but an AI factory is a system. Compute, networking, storage, cooling, software […] The post AI factories enter the execution era as Cisco and NVIDIA push rack-scale systems into production appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：In a proof of concept published in mid-2026, NVIDIA's AI Red Team planted a malicious dependency in a Go project, let it execute during a normal build, and watched it write a new AGENTS.md file into the project director…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The Cisco Secure AI Factory with Nvidia has been extended into the rack-scale era, offering enterprises greater full-stack operational capabilities as a result. Designed to give customers a framework for deploying artificial intelligence across their entire infrastructure, Secure AI Factory with Nvidia from Cisco Systems Inc. now integrates rack-to-fabric liquid cooling supporting systems beyond 200 […] The post Nvidia and Cisco push the enterprise AI factory into the rack-scale era appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：AI factories are moving from ambitious plans toward production, but the path from graphics processing unit acquisition to usable systems remains a race against time. Neoclouds already have customers waiting for capacity, enterprises are looking to bring inference workloads closer to home and sovereign AI programs are being built now. Those distinct buyer motions are […] The post Cisco and Nvidia take AI factories from rack to runtime appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Generalist AI Inc., a startup that develops artificial intelligence software for robots, has reportedly raised $200 million in funding. Axios today cited a source as saying that 8VC led the investment. It was reportedly joined by a number of unnamed existing investors. Generalist’s previous $400 million round in June included the participation of Nvidia Corp., […] The post Robotics AI startup Generalist reportedly raises $200M appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia Corp. is reportedly considering making another investment in the artificial intelligence search startup Perplexity AI Inc. A report by The Information says the chipmaker is holding talks with Perplexity over an investment that could push the startup’s valuation to more than $30 billion. That would represent a jump of more than 50% from the […] The post Nvidia reportedly eyes another investment in Perplexity AI at a $30B valuation appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：To generate intelligence at scale, AI factories run continuously, and their economics are defined by delivered output: tokens per second, tokens per watt, cost per token, utilization and uptime. That requires AI infrastructure designed and built as a full factory, not a collection of individual accelerators. Hyperscalers and AI-native companies building custom XPUs must consider […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The next era of AI inference won’t be defined by a single breakthrough chip, network or system. It’ll be defined by how every layer of the AI factory works together. That’s why NVIDIA is extending Vera Rubin NVL72 with fast token generation for agentic systems. Announced today, the NVIDIA Vera Rubin rack-scale system NVIDIA Groq […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：According to OpenRouter data, agentic AI workloads consume 15x more tokens than a simple chat request. Why? Consider what happens when an AI agent researches a company for an investment decision. The agent queries financial databases, searches news and filings, invokes a sub-agent to run peer comparisons and model valuations, then synthesizes everything into a […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The five largest GPU neoclouds now run on very different models. CoreWeave and Nebius report to the SEC; Lambda and Crusoe are private and heading toward IPOs; Groq rebuilt itself as an inference cloud after licensing its LPU technology to NVIDIA. This comparison checks each provider's live rate card, Q2 2026 financials, active and contracted gigawatts, anchor contracts, and SemiAnalysis ClusterMAX tier. Nebius posts the lowest H100 rate and the only published B300 price, Lambda has the cheapest B200, Crusoe is the only one with AMD on its card, and CoreWeave commands a 10–15% premium as the sole Platinum-rated provider. Figures verified August 21, 2026. The post Best GPU Neoclouds 2026: CoreWeave, Nebius, Lambda, Crusoe, and Groq Ranked by Published Pricing and Contracted Power appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：arXiv:2608.20427v1 Announce Type: new Abstract: Dense causal attention remains expensive at long context even when implemented with highly optimized exact kernels. We study BF1, a deterministic block-aligned dyadic sparse-attention route that combines a small exact local neighborhood, a global first block, and logarithmically spaced historical blocks. The route is related to prior log-sparse and dilated attention patterns; our contribution is a correctness-gated pretrained-model retrofit, a matched topology-control study, and a systems characterization that connects per-layer sparsity to whole-model latency. For fixed block width, every converted layer uses O(n log n) selected token interactions and has O(log n) graph communication depth. On an NVIDIA RTX PRO 6000 Blackwell GPU, an optimized BF16 implementation crosses dense attention between 2K and 4K tokens and reaches a 10.91x per-layer prefill speedup at 32K. Retrofitting eight of 28 Qwen3-0.6B attention layers lowers warm whole-model time to first token by 7.7%, 11.3%, and 15.3% at 8K, 16K, and 32K, respectively, while the remaining dense layers keep the complete model asymptotically quadratic. Under a matched 1,000-step, 16.384M-token adaptation protocol, BF1 ranks first across three training seeds: mean report perplexity is 1.68639 versus 1.69154 for a matched static-random nonlocal graph, 1.69258 for dense continued training, and 1.81505 for equal-budget local sliding. At seed 1234, the packed-report paired interval places Dense-CT 0.3169-0.4055% above BF1 and static-random graph 17 0.2441-0.3642% above BF1. These results establish BF1 as a reproducible sparse operator and selective retrofit primitive with real long-context systems value. This paper evaluates numerical correctness, selected-interaction scaling, kernel performance, partial-model inference, and matched next-token language modeling.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The five largest GPU neoclouds now run on very different models. CoreWeave and Nebius report to the SEC; Lambda and Crusoe are private and heading toward IPOs; Groq rebuilt itself as an inference cloud after licensing its LPU technology to NVIDIA. This comparison checks each provider's live rate card, Q2 2026 financials, active and contracted gigawatts, anchor contracts, and SemiAnalysis ClusterMAX tier. Nebius posts the lowest H100 rate and the only published B300 price, Lambda has the cheapest B200, Crusoe is the only one with AMD on its card, and CoreWeave commands a 10–15% premium as the sole Platinum-rated provider. Figures verified August 21, 2026. The post Best GPU Neoclouds 2026: CoreWeave, Nebius, Lambda, Crusoe, and Groq Ranked by Published Pricing and Contracted Power appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Artificial intelligence hardware startup Starcloud Inc. today announced that it has raised $250 million in funding at a $2.3 billion valuation. Investment firm Manhattan West led the deal. It was joined by more than a dozen other backers including Nvidia Corp. and Cisco Investments. The cash infusion extends a Series A round that Starcloud announced in […] The post Starcloud raises $250M to build AI data centers in orbit appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia published some interesting new research on Friday suggesting it’s the harness, more than the underlying model, that is far more important when asking an AI to do long-horizon tasks. A harness is the software wrap…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important. Drawing on work with NVIDIA OpenShell, agent developers, op…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Enterprises running always-on AI agents keep hitting the same tradeoff. Send every task to a frontier model and the bill climbs fast. Build custom routing logic to send easy tasks to cheaper models and that becomes its…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Yes, we’re confused too.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：arXiv:2608.19535v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves language-model responses by grounding generation in external passages, which comes with overhead: retrieved context lengthens the prompt, increasing prefill work, KV-cache footprint, memory traffic, latency, and energy. Context compression offers a natural remedy by pruning retrieved text before generation. However, state-of-the-art context-compression methods are typically used with a fixed compression budget, or with the rate selected offline and then applied at inference time. This static view ignores both workload variation and the live state of the edge device. On an edge SoC, compression is not free: the compressor itself runs on the same SoC and consumes latency and energy that can offset any generation savings. This paper proposes a vision for telemetry-informed adaptive compression in edge RAG, grounded in experimental evidence. We characterize the compression tradeoff on the NVIDIA Jetson AGX Thor using Llama and Qwen generators, Natural Questions and HotpotQA datasets, and LLMLingua-2 compression. Our measurements show that generation dominates the RAG budget for larger models, reaching roughly 90% of per-query latency and 91% of GPU energy for 7B-8B generators. Exploring the impact of the compression rate reveals an adaptive operating region: mild compression can miss energy opportunities, and overly aggressive compression can hurt inference quality. Intermediate compression can reduce GPU energy by up to 53.2%, and SoC energy by up to 48.2%, with negligible quality loss. We argue for runtime policies that dynamically manage compression, guided by workload features and edge telemetry.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia’s model uses real-time human demonstrations and training data to give operators a one-stop shop for humanoid motion.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：It’s a new way into the cloud. GeForce NOW welcomes Firefox support to the cloud, opening up another way to jump into high-performance PC gaming straight from the browser, starting today. Whether on a school laptop or everyday PC, it’s now even easier to play supported PC games without downloading a dedicated app. Plus, discover […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Editor’s note: This blog, originally published in March 2026, has been updated. At the half-time whistle of the UEFA EURO 2020 round of 16 football match between England and Germany, millions of viewers stepped away from their screens in the U.K. to do the same thing at the same time — turn on their kettles. […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Veeda AI, a startup led by a team of former Nvidia Corp. researcher and renowned computer scientist Sanja Fidler, has taken its bow on the main stage after raising $90 million in a seed funding round today. The round, which was first reported by The Logic, was co-led by Khosla Ventures and Radical Ventures, is […] The post Sanja Fidler’s world model startup Veeda AI raises $90M in seed funding appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：“Compute is an asset class! Compute is an asset class!” I continue to insist as I slowly shrink down and turn into a corncob | Image: Cath Virginia / The Verge, Getty Images April - 1805 Napoleon is master of Europe Only the British fleet stands before him Compute is now an asset class I see it is once again time to talk financial innovation. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR are all working with Nvidia to put together $500 billion in financing to turn compute into an asset class. "This is really the first time that technology chips have become an investable asset class," Nvidia CEO Jensen Huang said to CNBC. "These are revenue-generating assets now. They're productive, they're long-lived, they're fungible, they're flexible." "This is the very beginning, like what it was whe … Read the full story at The Verge.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：A mini deep dive into some of the most important AI releases of last week.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：arXiv:2608.17071v1 Announce Type: new Abstract: We present KernelArc, a multi-agent framework for autonomous GPU kernel optimization across heterogeneous workloads. Strategy-specialized agents run in parallel and coordinate through conclusions-only shared memory, a deterministic benchmark guard, and read-only cross-agent state with plateau-triggered drafting. We evaluate \kernelarc{} on NVIDIA H100 and B200 GPUs using category-representative SOL-ExecBench workloads. The resulting implementations span custom BF16 GEMM, static cuBLASLt Expert-API configuration tables, fused mixture-of-experts backward, shape-gated decoder-layer fusion, native NVFP4 grouped-query attention, and paged prefill attention. At the public SOL-ExecBench leaderboard snapshot recorded on July~30, 2026, these submissions ranked first on representative L1, L2, Quantization, and FlashInfer tasks. The trajectories support the paper's central motivation: shared multi-agent search can broaden exploration and reach stronger incumbents within a fixed candidate budget, while the value of individual coordination features depends on the kernel and optimization stage.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：NVIDIA has released TensorRT Model Connect (TRTMC) in public preview, an Apache-2.0 project that takes a supported Hugging Face or local checkpoint to end-to-end TensorRT inference in two commands, with no intermediate ONNX export. The build emits a versioned .bundle artifact that runs through native C++ task APIs, so inference executes without PyTorch in the runtime path. NVIDIA's July 29, 2026 GB300 snapshot covers 105 release profiles across 76 model families. The post NVIDIA Releases TensorRT Model Connect in Public Preview: Hugging Face Checkpoint to Native C++ Inference in Two Commands appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The financing and infrastructure role puts the AI vendor at the center of another multibillion-dollar data center project.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：ByteDance Seed and Tsinghua AIR have released CUDA Agent, an agentic reinforcement learning system that trains a large language model to write GPU kernels that beat a compiler. The gap it targets is narrow but stubborn: frontier models already produce correct CUDA, they just produce slow CUDA. On KernelBench, the base model Seed1.6 passes 74.0% […] The post ByteDance Seed and Tsinghua AIR Introduces CUDA Agent: A Large-Scale Agentic RL System for CUDA Kernel Generation appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：NVIDIA teams use ChatGPT Work to reduce manual tasks, connect fast-moving signals, and scale successful workflows globally.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Artificial intelligence startup Groq Inc. today announced that it has raised $350 million in funding. The Series A round was led by returning backer Disruptive. Grok stated that Nvidia Corp. plans to join the round later down the line, but didn’t specify how much the chip giant will invest. The cash infusion comes less than […] The post AI cloud operator Groq raises $350M more in funding appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to deploy the 30B Mixture-of-Experts model (3B active), which delivers up to 4x higher throughput and up to 30% faster task completion for always-on agents.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The debate over whether we are in an artificial intelligence bubble took a new turn this week. Despite the ballooning AI spending, Dave Vellante (pictured, right), chief analyst for theCUBE Research, contends that any bursting point may be far off. Now that Nvidia Corp. Chief Executive Jensen Huang, has committed $500 billion to establish independent […] The post On theCUBE Pod: AI bubble debate heats up and neocloud earnings challenge doubters appeared first on SiliconANGLE.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The latest stable kernel also brings filesystem and I/O improvements, and substantial new support across AMD, Intel, Apple, Nvidia, USB4, and laptop hardware.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia wants you building your own model, not buying from Anthropic/OpenAI.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The robot is part of the companies’ expanded partnership to shift physical AI from concepts to real-world deployments.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：AI factories are the defining infrastructure of the AI era—where compute transforms energy and data into intelligence that powers every business, industry and country. In the AI economy, compute is revenue. AI factories require a full stack of critical resources: advanced chips, packaging, memory, and networking – as well as land, power and shell. Just […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia AI Financing Is The $500 Billion Risk Investors Aren’t Watching ByJim Osman, Senior Contributor. Forbes contributors publish independent expert analyses and insights. Jim Osman is a finance expert with over 30 ye…

ウクライナ軍情報局（GUR）は、鹵獲したロシア製S-71「モノクローム」巡航ミサイルの残骸からNvidia Jetson Orinモジュールを発見し、AI技術の使用が示唆されると発表。Nvidiaは2022年にロシアから撤退したが、チップは依然としてロシアの兵器に搭載されており、輸出規制の実効性に疑問が呈されている。

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Nvidia Corp. is no longer just selling technology. It is helping create a financial asset class around artificial intelligence compute. In our last Breaking Analysis, we argued that AI can be technologically transformative and still produce a capital bubble. Our thesis was simply that the bubble pops if deployable supply grows faster than monetizable demand – […] The post Did Nvidia’s Jensen Huang just make the AI buildout too big to fail? appeared first on SiliconANGLE.

設立わずか2か月のAIスタートアップRiver AIが11億ドルの大型初期調達に成功。NvidiaとAMDが異例の共同出資を決め、General Catalyst、Y Combinator、テマセクなども参加した。同社のAPIは企業の内部データでオープンモデルを十数分で微調整でき、計算コストを2〜4倍削減。企業AIが集中型独占から私有・カスタマイズ型へ移行する転換点を示している。

今週、インドネシア通信・デジタル省、Indosat Ooredoo Hutchison、NVIDIA、ガジャ・マダ大学（UGM）は、ジョグジャカルタにある大学ベースのAI技術センター「UGM Indosat NVIDIA AI Technology Center（NVAITC）」を開設した。同国初の大学AIセンターで、インドネシアのAIナショナル・センター・オブ・エクセレンス構想の一環。NVIDIAのフルスタックAIプラットフォームとIndosatの主権型GPU-as-a-Service「GPU Merdeka」を活用し、医療・農業・災害対応の3つの初期プロジェクトに取り組む。AI人材の育成を進め、インドネシアをAIの利用者から革新の担い手へと育てることを目指す。