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that moves “from the desk side to the data center, to the edge, and all the way out to the cloud,” as Grocott puts it, it’s making moves to meet these needs. In collaboration with Nvidia Corp., the company is helping enterprises that do not want to run their AI agents exclusively in the cloud, but rather locally. Deskside Agentic AI is helping businesses achieve this goal, offering several potential benefits. To start, companies can address some data security concerns by working with their infor

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rk Open includes custom GPU kernels optimised for inference through SGLang. Meta said the kernels delivered speedups ranging from 1.03 times to 3.95 times in kernel-level tests on NVIDIA and AMD GPUs. The company also reported a 3% end-to-end performance improvement on AMD MI350 GPUs. The model supports several hardware platforms, including AMD, Apple, Intel and NVIDIA silicon. Developers can further fine-tune it using PyTorch's TorchTitan framework. Meta has released the weights under its Muse

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ia MLX (AA, Meta). Ecosystem: llama.cpp had GGUF support on day 0 (Delangue), and Unsloth published quants, with UD-IQ1 S at 176GB (Unsloth). vLLM day-0 stack: vLLM support covers NVIDIA, AMD MI355X (FP8 and MXFP4) and TPU (vLLM). TPU throughput: Megakernels with DSpark speculation (acceptance length 6) exceed 650 tok/s on 4 TPU v7 chips and 960 tok/s on 8 (hardware). Speculator: Inferact trained a block-diffusion DSpark drafter that proposes up to 7 tokens per pass (speculator). LoRA RL: LoRA G

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els. It runs on inference engines including SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, and Unsloth, with optimizations for AMD, Apple, Intel, and NVIDIA silicon, and developers can further tune the model using PyTorch’s TorchTitan. Weights ship in BF16 and NVFP4 versions; running locally requires a GPU with at least 700GB of VRAM for NVFP4 or 2TB for BF16. Meta says Muse Spark Open is the first model in its class to run on a desktop, using two Apple M5 Ultra Mac

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ls at long-horizon tasks, complex software engineering, and multi-step reasoning.” The two U.S. models Muse Spark Open competes with are essentially Thinking Machines’ Inkling and Nvidia’s Nemotron 3 Ultra. In Meta’s own benchmarks, its new model beats them across the board — often by 20 points or more. Credit: Meta. The closer fight, however, is with Chinese open models that many developers already run today. Spark Open leads Kimi K3, GLM 5.3, and Qwen3.8 on the agentic and tool-use benchmarks,

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ted chipmakers. Samsung Electronics Co. and SK hynix Inc. dropped more than 8%, while Intel Corp. was down 6.6% at one point today. Chip stocks recouped some of their losses after Nvidia Corp. Chief Executive Jensen Huang told Bloomberg that CoreWeave’s cost of capital is decreasing. A company’s cost of capital influences its ability to manage its debt. The AI sector was a major contributor to TSMC’s strong quarterly results. The company’s high-performance computing segment, which includes the g

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security systems needed to enable secure browning and online commerce. Perplexity isn’t the only company pursuing an open-source approach to AI agent sandboxes. One alternative is Nvidia Corp.’s OpenShell project, which was released last month as part of a broader Open Agent Safety Platform. So far, there have been no reported escapes from OpenShell. Perplexity is not new to open-source security. Besides SPACE, it has also developed open source innovations such as BrowseSafe, which is used to de

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ROSOFT 🔥: - GitHub Copilot updated HydraFusion's model pool and added a new HydraFusion Max option, both still in research preview. GOOGLE 🔥: - Google Messages is adding an enhanced protection mode against phone scams. - YouTube Music is rolling out labels for AI-generated songs. OPENAI 🔥: - Codex got another global usage-limit reset on Day 10. NVIDIA 🔥: - NVIDIA AI teased its own model launch coming next week. Used Grok to compose this brief, cherry-picking the news and doing some post-editing.

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a couple hours.” Money and minds Akrites has had some serious industry muscle behind it from the get go, with founding members including Anthropic, OpenAI, Google, Microsoft, AWS, NVIDIA, Cisco, IBM, Red Hat, Citi, JPMorganChase, among others. What, perhaps, distinguishes Akrites from most other Linux Foundation projects is that its members aren’t just being asked to write cheques. While financial contributions are very much part of the deal, members are also expected to commit engineering resou

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sodass auch LTS-Nutzer davon profitieren. Weiterlesen nach der Anzeige Entfernt wurde die Unterstützung für sowieso obsolete WEP-WLANs und die EGLStreams-Schnittstelle, die ältere Nvidia-Treiber nutzten. Für Computer mit Qualcomm-Snapdragon-Prozessoren steht eine neue Preview-Version bereit. Laut Release Notes macht Linux 7.3 auf bestimmten Snapdragon-X2-Elite-Notebooks allerdings noch Probleme mit der Tastatur. Im App Center lassen sich nun proprietäre Treiber nachinstallieren, was seit der Abk

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e Associated PressThe Associated PressOctober 15, 2026, 10:16 AM ETTSMC, which produces over 90% of the world's most cutting-edge chips, supplies to U.S. technology giants include Nvidia and Apple and has pledged $265 billion of investments in Arizona.AP Photo/Daniel CengAdd Fortune on Google for similar content. Taiwan Semiconductor Manufacturing Co. is exploring potential investments in Texas to expand its chip production in the United States, the advanced chipmaker said after posting another

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ucture needed to develop the technology. Stocks in some US technology companies dropped on Wednesday over concerns around investments in AI. Shares in chip makers - including AMD, Nvidia and Intel - fell sharply. In Asia, shares in Japanese tech investment firm Softbank were down by more than 9% on Thursday. South Korean semiconductor giants also dropped, with Samsung falling by 9.5% and SK Hynix 11% lower. Shares have been falling this week after remarks by Hock Tan, the chief executive of US t

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stigators, but it had a massive impact on tech stocks. The Nasdaq index fell 1.25% and the shares of many individual firms, including Oracle Corp., CoreWeave Inc., Intel Corp. and Nvidia Corp., all fell more. Their fortunes are tightly linked to those of the AI giants, given that many have signed massive multiyear, multibillion-dollar contracts with them. Holger Mueller of Constellation Research said the number thrown by Anthropic at investors is all about making it look good ahead of its IPO, b

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be restored with a recorded explanation. “It’s more like a dimmer switch,” Bardoliwalla said. “You monitor, you pause, you restrict, and eventually, if necessary, you deactivate.” Nvidia Corp. is a design and launch partner, linking AI Passport with its Open Agent Safety Platform, including the OpenShell secure runtime and Sentry security framework. The integration connects enterprise policies with enforcement within the infrastructure where agents operate. The central implementation challenge i

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provides a console for evaluating, deploying and monitoring models across cloud virtual machines, rented graphics processing unit hosts and on-premises Linux servers equipped with Nvidia Corp. GPUs. Teams can check model configurations, verify files and test models with adversarial prompts before deployment. Production workloads receive OpenAI Group PLC-compatible endpoints, while operational evidence can feed existing endpoint detection and security information management systems. Audit records

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ecured double-digit gigawatts of new compute capacity across Ohio, Portsmouth, Georgia, Trainium and several other projects,” Katti wrote on LinkedIn, crediting partners including NVIDIA, Broadcom, AMD, Oracle, Microsoft, Google, AWS, Cerebras and CoreWeave for helping expand OpenAI’s infrastructure. During Katti’s tenure, OpenAI advanced several infrastructure initiatives, including a reported $20 billion deal to use Cerebras AI chips and the development of its custom Jalapeno inference chip. H

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nd its workflow approvals. If that data is stale, the passport is stale. Credit ServiceNow for building on open specifications, but an open spec matters only when others adopt it. Nvidia is the launch partner, and ServiceNow says that enforcement implementation is still being built.” In addition to AI Passport, ServiceNow has further beefed up its governance tools with a number of other features, including shadow-AI detection to locate unapproved agents on the network; more than 400 connectors t

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GeForce NOW 云游戏平台。 在经典游戏画面重制方面，英伟达计划于 10 月 23 日为 RTX Remix 加入 DLSS 5 新模型及帧生成性能模式。RTX Remix 是面向 RTX PC 的游戏模组平台，支持利用路径追踪等技术改进经典游戏画面。 英伟达已向部分模组制作者提供预览版本，用于测试新功能在不同项目中的表现。与此同时英伟达发布了新版 NVIDIA App 测试版，为 GeForce RTX 40 系列、RTX 50 系列显卡以及 RTX Spark 笔记本推出新的帧生成性能模式。来源 豆包手机助手将放开第三方应用屏幕自动化操作权限 豆包手机助手于 10 月 14 日发文宣布，豆包手机助手推出的《屏幕自动化操作声明协议》（SAEP，Screen Automation Execution Protocol）三十天公示期已结束，现将逐步放开第三方应用的屏幕自动化操作权限。 公示期结束后，开发者仍可随时声明拒绝，豆包手机助手也会及时关闭相关操作。已明确声明拒绝的应用，智能体将不会对其进行操作。 同时，豆包手机助手也公布了最新的拒绝操作应用清单，其中阿里系和腾讯系的 ap

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cloud migration is seen as a key driver. Expanding GPU services have also supported performance. During its July earnings announcement, Samsung SDS said strong customer demand for Nvidia's B300 GPUs was expected to drive full utilization in the third quarter. KB Securities also cited rising GPU utilization as a contributor to cloud revenue growth. In contrast, revenue from traditional IT services is expected to decline. Hana Securities estimates third-quarter IT services revenue excluding cloud

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nce improvements through continuous software updates. It also reduces the power required to operate robots. Intel is emphasizing its open ecosystem as a competitive advantage over Nvidia. The company does not restrict initial AI model training or simulation to a particular vendor or platform, allowing developers to work in their preferred environments. When developers optimize completed AI models for Intel-powered robots and deploy them, Intel provides software support through PyTorch XPU and th

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