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Intel Reports Q2-2024 Financial Results; Announces $10 Billion Cost Reduction Plan, Shares Fall 20%+

Intel Corporation today reported second-quarter 2024 financial results. "Our Q2 financial performance was disappointing, even as we hit key product and process technology milestones. Second-half trends are more challenging than we previously expected, and we are leveraging our new operating model to take decisive actions that will improve operating and capital efficiencies while accelerating our IDM 2.0 transformation," said Pat Gelsinger, Intel CEO. "These actions, combined with the launch of Intel 18A next year to regain process technology leadership, will strengthen our position in the market, improve our profitability and create shareholder value."

"Second-quarter results were impacted by gross margin headwinds from the accelerated ramp of our AI PC product, higher than typical charges related to non-core businesses and the impact from unused capacity," said David Zinsner, Intel CFO. "By implementing our spending reductions, we are taking proactive steps to improve our profits and strengthen our balance sheet. We expect these actions to meaningfully improve liquidity and reduce our debt balance while enabling us to make the right investments to drive long-term value for shareholders."

AMD, Broadcom, Cisco, Google, HPE, Intel, Meta and Microsoft Form Ultra Accelerator Link (UALink) Promoter Group to Combat NVIDIA NVLink

AMD, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta and Microsoft today announced they have aligned to develop a new industry standard dedicated to advancing high-speed and low latency communication for scale-up AI systems linking in Data Centers.

Called the Ultra Accelerator Link (UALink), this initial group will define and establish an open industry standard that will enable AI accelerators to communicate more effectively. By creating an interconnect based upon open standards, UALink will enable system OEMs, IT professionals and system integrators to create a pathway for easier integration, greater flexibility and scalability of their AI-connected data centers.
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