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its answers are based. When the app starts, it detects the computer's memory and downloads a matching model, ranging from IBM Granite 4.2 8B on devices with 16–31 GB of memory to NVIDIA Nemotron 3.5 Super on Macs with 128 GB or more; the reference library is about 9 GB and contains roughly 930,000 Wikipedia articles, FEMA and CDC guidelines, military medical manuals, and iFixit repair guides. In the author's blind test of 22 power-outage and first-aid questions, Nemotron 3.5 Super and Qwen3.8 2

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s and the gigawatt-scale Prometheus cluster, including its first liquid-cooled network rack IcePack and the 102.4T switch IceCube (128×800G, available with Broadcom Tomahawk 6C or NVIDIA Spectrum-6). For scale-out, the Flattened Planar Fabric connects each GPU to eight network planes, simplifying the Clos architecture from 3 tiers to 2; for scale-across, it introduced the petabit-class super backbone BAG connecting buildings, campuses, and regions. Meta also introduced Tahan, an Ethernet scale-u

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Musk said on X that SpaceX has secured $40 billion in debt financing to purchase GPUs from suppliers such as Nvidia, and that these GPUs will be delivered in the first and second quarters of 2027. He said SpaceX has an investment-grade credit rating and that Starlink and the launch business generate revenue independent of AI data centers, which is why it was able to obtain this funding; over the past few weeks, the debt market has been nearly closed to companies without independent revenue. Musk

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ed from scratch purely on human speech, with no text and no pretrained base, supporting full duplex so it can listen and speak at the same time. The model claims inference faster than real time and can run locally on a MacBook Pro M4 Max and above, and the entire model is said to have been trained on a single NVIDIA GB200 NVL72. The team says its goal is to let the model understand tone and emotion, avoiding the safety risk of continuing to respond without perceiving the other person's distress.

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Schneider Electric has released a new generation of prefabricated power modules and power skids, based on a reference design jointly developed with the Nvidia GB300 NVL72 AI server system, supporting up to 142kW of power density per rack and integrating power management and liquid cooling control. The product uses Galaxy VXL UPS technology and offers three capacities: 2MW, 2.25MW, and 2.5MW, with the 2.5MW being its highest-capacity single-container prefabricated power solution to date. The prod

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51World's subsidiary 51Sim was selected for the NVIDIA Halos SAFE ecosystem list announced by NVIDIA on October 21, making it the only Chinese company on the list. The company's share price rose 58.92% cumulatively over the week, with a single-day gain of 30.31% on October 23. Halos SAFE is a framework launched by NVIDIA in the autonomous driving field that integrates simulation and real-vehicle testing, covering the full cycle of design, deployment, and validation. This week, southbound funds r

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itecture, can listen and speak at the same time, and can run locally on a MacBook M4 Max or a more powerful consumer-grade computer. The model was trained entirely on human speech and a single NVIDIA GPU, and the company says expressions such as emotion, pauses, and laughter are built into the model rather than driven by a text pipeline. Dessa is not currently publicly available, and Block is recruiting security researchers to test the risk that it could be used to deceive conversation partners.

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GLang matches or exceeds DeepInfer on DeepInfer's own benchmarks: up to 1.04x prefill throughput on 4x GB300 and 4x B300, and 1.1%–7.4% shorter decode step time on 64x GB300. SGLang has integrated DeepSeek's Mega series kernels, DSpark speculative decoding, SWA bounded replay, and two Engram placement methods, and has filled in KV cache, prefill/decode disaggregation, and inter-replica load balancing that DeepInfer does not include. SGLang supports NVIDIA GB300, B300, B200, H200, and AMD MI355X.

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The Artefact AI Film Festival, organized by mk2 and Artefact in partnership with LDLC and NVIDIA, is now in its third edition, with the theme "(Dis)Connection" and a registration deadline of December 2, 2026. Submitted films may be up to 314 seconds long and must use at least one generative AI technology in each of the three stages: pre-production, shooting, and post-production; the first prize is 10,000 euros, plus a one-week 30-second screening at an mk2 cinema. NVIDIA recommends using GeForce

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esults on AA-AgentPerf for Meta's new open-weight model Muse Spark Open, an 816B-parameter, 42B-active MoE that scores 39 on the Artificial Analysis Intelligence Index. Tests show NVIDIA B300 and GB300 each reach about 150M tokens/s per megawatt under throughput-first configurations, with GB300 at about 108M and B300 at about 92M at 100 tok/s output speed; AMD MI355X reaches 70M tokens/s per megawatt at 65 tok/s. 46 of the model's 62 layers use 2,048-token sliding window attention, reducing KV c

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that small neoclouds find it difficult to build a complete GPU deployment team on their own, and Dell's managed services support is key to keeping clusters healthy and profitable after they go live. Alpha Compute provides sovereign and confidential computing with Dell and Intel hardware; its 72-node St. Louis cluster uses Dell's Nvidia Blackwell systems, InfiniBand networking and direct liquid cooling, and it has signed a $31.9 million non-recourse loan agreement secured by Nvidia B300 hardware.

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um3, training Qwen3-32B on 16 Trainium2 chips; eager mode reached 11,099 tokens/s and 23.89% MFU, while compiled mode reached 14,156 tokens/s and 30.47% MFU. The author considers the Neuron Explorer profiler superior to Nvidia's and AMD's solutions, but first-time compilation takes too long: the first-step compilation for the gpt-oss training recipe took 27 minutes 17 seconds. FlexAttention tests passed 89 of 96 cases, with all 7 failures due to compilation timeouts rather than numerical errors.

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heise conducts an efficiency test on the Nvidia RTX Pro 6000 Blackwell, measuring its performance loss at three power levels of 450 watts, 300 watts and 156 watts; the card has 96 GByte VRAM and targets AI and workstation scenarios. The test uses 450 watts as a reference corresponding to the previous-generation GeForce RTX 4090, 300 watts to the long-term limit of earlier flagship cards, and 156 watts to mid-to-low-end cards such as the GeForce RTX 5060 or Radeon RX 9060 XT. The full test data i

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silicon architecture, advanced materials, and connectivity technologies are long-term advantages that are hard to replicate. Israel has deep accumulated strength in chip design, photonics, and high-speed communications, and entrepreneurs can target the architectural bottlenecks encountered by giants such as Nvidia, Apple, Intel, and Google. Commercialization success depends on yield, reliability, and system integration, and early validation with industrial buyers and design partners is crucial.

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MiniMax open-sources M3.1 Flash, a 428B-parameter MoE with 23B activated parameters, gaining day-one support from Together, SGLang, vLLM and NVIDIA NeMo. OpenAI's Decisions API is officially available, powered by GPT-6 Luna, with classification and decision speed improved by up to 10x, at an input price of $0.10 per million tokens. Anthropic's Claude models are officially available on Google Cloud, and starting next week, Claude sessions on Pro, Max and Team plans will run in auto mode by defaul

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MSI has released the EdgeMesa N AI+ mini PC, with a volume of 1.3 liters, equipped with the NVIDIA RTX Spark N1X superchip and up to 128GB of LPDDR5X unified memory, with running 120B-parameter large models locally as its primary design goal. The chip integrates a 20-core Grace CPU and a Blackwell GPU with 6144 CUDA cores; the unified memory pool lets model weights and KV cache share the same physical memory. Referring to measured results from the DGX Spark on the same platform, generation speed

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At Groundbreak 2026, construction management software company Procore Technologies announced a deepened collaboration with NVIDIA to bring digital twin and simulation capabilities based on NVIDIA Omniverse into complex construction projects; the feature is currently in closed beta. Users can switch between Procore's Model Manager and Realism Mode to simulate in a high-fidelity 3D environment how real-world conditions such as extreme weather affect construction; the collaboration is mainly aimed

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of the M3.1 Flash model, which processed over 100 trillion tokens within 72 hours of launch. Compared with the previous generation M3, M3.1 Flash has comprehensively improved capabilities, with usage cost reduced by 70% and online inference speed increased by nearly 3 times. MiniMax stated it will work with chip manufacturers such as Huawei Ascend, NVIDIA, and AMD, as well as inference frameworks and communities such as vLLM, SGLang, and Hugging Face, to advance day-one open-source integration.

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