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Stories 61 to 77 of 77, from 11 September 2026 to 21 September 2026, newest first. The latest are on the first page →

  1. Hardware & Compute new

    Huawei limits new Ascend AI chips to China due to capacity constraints

    Huawei announced that its upcoming Ascend 960‑series neural processing units will be sold only within China because the company cannot meet domestic demand with its current production capacity. Rotating chairman Eric…

    1 source
    Tom's Hardware
  2. Agents & Tools new

    Meta's Muse AI agent adds $200 billion market value after strong launch

    Meta Platforms launched its Muse AI assistant on September 8, offering free basic access and paid tiers at $20 and $100 per month. Within the first 12 days the app recorded 2.8 million downloads, more than double…

    44 sources
    barrons.comseekingalpha.comTechCrunch AInote.com +15 more
  3. Hardware & Compute new

    AMD Radeon RX 10800 XT could outperform RTX 5090, insider leaks suggest

    Insider leaks attribute massive specifications to AMD's upcoming flagship graphics card, the Radeon RX 10800 XT, which is based on the RDNA 5 microarchitecture. Leaked details suggest the chip could feature up to 200…

    1 source
    en.gamegpu.com
  4. Policy & Regulation new

    Intel appears to have suspended bug bounty program that paid up to $100,000 per flaw

    Intel appears to have suspended its bug bounty program that once paid up to $100,000 per flaw. The Intigriti site now describes the program as a “responsible disclosure program without bounties,” and the bounty board…

    1 source
    Tom's Hardware
  5. Hardware & Compute new

    AMD says 96-core Venice CPU is about 20% faster than Nvidia Vera in SPEC CPU 2026

    AMD claims its 96-core, high‑frequency Venice processor is around 20% faster than Nvidia's 88-core Vera in the SPEC CPU 2026 Integer Rate benchmark. AMD also reports a 78% speedup over its prior 192-core EPYC 9965 and…

    1 source
    Tom's Hardware
  6. Hardware & Compute new

    Engram offloading boosts DeepSeek-V4.1-Flash performance on B300 by up to 1.6x

    The SemiAnalysis report describes Engram, a token‑embedding extension that stores recurring patterns in a lookup table. By moving the Engram table—about 24 rows per layer, roughly 12.4 KiB per token position (3.1 KiB…

    1 source
    SemiAnalysis
  7. Hardware & Compute new

    AI developer vibe codes DLSS 5 onto Intel CPU's integrated graphics —Intel Arc 140T runs neural rendering in 360p at 10 frames per second

    A GitHub repository named "dlss-nr-on-intel" claims to port NVIDIA's DLSS 5 neural rendering to Intel's Xe architecture. The author, who uses the handle Uzbekunknown, focused on the Intel Arc 140V GPU in a Lunar Lake…

    1 source
    Tom's Hardware
  8. Hardware & Compute new

    Modder reportedly runs Nvidia DLSS 5 in a web browser using WebGPU

    Modder MAAN reportedly got Nvidia DLSS 5 running in a browser window with an interactive demo, according to a report by VideoCardz. The demo is hosted on Cloudflare Workers, starts with a scene called "Cowboy Gramps",…

    1 source
    Tom's Hardware
  9. Hardware & Compute new

    AMD may raise prices about 10% across GPUs, chipsets, possibly CPUs, report says

    Industry sources say AMD is preparing to lift prices by roughly 10% on most of its product lines, including graphics cards, motherboard chipsets and potentially its CPUs. The move is attributed to higher wafer costs…

    1 source
    techpowerup.com
  10. Hardware & Compute new

    Nvidia says its GPUs contain 10 to 40 RISC‑V cores, totaling over a billion in 2024

    Nvidia reports that every GPU includes a set of 10 to 40 small RISC‑V management processors, which it estimates adds up to more than a billion cores shipped in 2024. These cores are not part of the shader array; they…

    1 source HN 42
    xda-developers.com
  11. Hardware & Compute new

    Nvidia Targets CPU Market, Grace CPUs Generate $5B in Sales

    Nvidia, long the king of GPUs for AI, is now turning its attention to the CPU arena. In its fiscal Q2 2027 report, the company announced that its Grace CPU family had already pulled in $5 billion in sales over the past…

    1 source
    fool.com
  12. Hardware & Compute new

    Cornelis Networks launches open scale‑up networking to challenge Nvidia’s NVLink

    Cornelis Networks, an Intel spin‑off, announced a move into scale‑up networking, targeting the high‑speed interconnects that link processors inside rack‑scale AI systems. The company unveiled its CN6000 family and said…

    1 source
    crn.com
  13. Business & Funding new

    Bank of Korea flags AI chip boom as systemic financial stability risk

    The Bank of Korea has issued a warning that the massive surge in AI semiconductor exports poses a significant threat to national financial stability. In the first half of 2026, South Korea’s nominal GDP expanded by…

    1 source
    finance.yahoo.com
  14. Policy & Regulation new

    Anthropic urges slower frontier AI pace; Fed decision and tech events dominate week

    Anthropic has publicly called for a deceleration in the development of frontier AI models, arguing that current safety mechanisms are lagging behind rapid capability gains. This stance has triggered significant debate…

    1 source
    finance.yahoo.com
  15. Hardware & Compute new

    OpenAI CFO says spending will follow ROI, may not slow AI buildout, Cramer asks

    Jim Cramer sat down with OpenAI chief financial officer Sarah Friar, who said the company bases its investment choices on a strong return on investment and did not commit to slowing its AI buildout, despite broader…

    4 sources
    247wallst.cominvezz.comfool.comibtimes.co.uk
  16. Hardware & Compute new

    AMD Radeon RX 9060 XT Enables CUDA Workloads on Windows via ZLUDA and ROCm

    A new reproducible stack lets developers run CUDA‑targeted Windows applications on AMD GPUs using ZLUDA and the AMD HIP/ROCm ecosystem. The project, released by Speedstu, validates the Radeon RX 9060 XT (gfx1200) with…

    2 sources primary source HN 48
    Tom's Hardwaregithub.com
  17. Hardware & Compute new

    CachyLLama: AMD-optimized llama.cpp fork for local LLM inference on APUs

    CachyLLama is a performance-focused fork of llama.cpp designed specifically for running local large language models on AMD APU hardware, including integrated GPUs and handheld devices. Unlike upstream llama.cpp, which…

    3 sources primary source
    github.com