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Arm Reports 14-Fold Growth in Data Center Customers Since 2021 Amid AI Boom

Arm, the chip architecture company owned by SoftBank, has seen its data center customer base soar to 70,000—a 14-fold increase since 2021—according to a company statement shared exclusively with Reuters. This growth underscores Arm’s rising influence in the data center chip market, driven largely by demand linked to generative artificial intelligence computing.

Under CEO Rene Haas, Arm has expanded beyond its traditional strength in mobile and PC markets into data center processors, a sector historically dominated by x86 architectures from AMD and Intel. Arm-based chips are prized for their high performance coupled with low energy consumption, making them attractive for large-scale data centers that require efficient, powerful processing.

The company also revealed a 12-fold increase in startups using its chips since 2021, highlighting its growing footprint in emerging technology firms. Arm has benefited from partnerships with major cloud providers like Amazon AWS, Google, and Microsoft, who have developed custom Arm chips for their expansive infrastructure. For instance, Amazon has introduced multiple generations of Arm-based data center processors since 2018, including those optimized for AI workloads.

While the broader semiconductor market has faced challenges, particularly in PC and mobile segments, Arm’s data center growth remains robust, supported by a swelling developer ecosystem. The number of applications running on Arm machines has doubled to 9 million since 2021, and the developer community has grown by 50% to 22 million.

Despite the positive outlook, Arm has refrained from issuing annual financial guidance, citing ongoing trade uncertainties.

Microsoft to Cut Around 4% of Workforce Amid Heavy AI Investment Costs

Microsoft announced it will lay off nearly 4% of its global workforce as part of efforts to control costs while investing heavily in artificial intelligence infrastructure. The company, with about 228,000 employees as of June 2024, had already begun layoffs in May affecting around 6,000 workers, primarily in sales roles.

The tech giant has pledged $80 billion in capital spending for fiscal year 2025, but the soaring costs of expanding AI capabilities have pressured profit margins. Microsoft’s cloud margin for the June quarter is expected to decline compared to the previous year.

In addition to workforce reductions, Microsoft plans to simplify its organizational structure by reducing management layers and streamlining products, processes, and roles. The gaming division, including its Barcelona-based King unit known for Candy Crush, will also see job cuts of about 10%, or roughly 200 employees.

Microsoft’s layoffs follow a broader trend among Big Tech companies investing in AI, with peers like Meta trimming about 5% of its lowest performers, Alphabet cutting hundreds of jobs, and Amazon reducing staff across various segments amid economic uncertainties and rising operational costs.

OpenAI Denies Plans to Use Google’s In-House AI Chips Despite Cloud Collaboration

OpenAI has clarified that it has no current plans to adopt Google’s in-house AI chips (TPUs) to power its products, pushing back against recent reports that suggested the ChatGPT maker was turning to its rival’s hardware to meet increasing computing demands.

A spokesperson for OpenAI stated on Sunday that while the company is testing Google’s TPUs in early stages, there are no plans to deploy them at scale for production use. Google, for its part, declined to comment on the matter.

Testing multiple AI chip platforms is standard industry practice, but shifting large-scale workloads to a new hardware platform would require significant architectural and software adjustments. Currently, OpenAI continues to rely heavily on Nvidia’s GPUs and is also utilizing AMD’s AI chips to fuel its operations. Additionally, OpenAI is actively developing its own custom AI chip, expected to reach the “tape-out” milestone later this year — marking the point where chip design is finalized for manufacturing.

Earlier this month, Reuters reported that OpenAI had signed on to use Google Cloud services, a move seen as a notable collaboration between two competitors in the generative AI space. However, the bulk of OpenAI’s computing needs are still being handled by CoreWeave, a cloud provider specializing in GPU-based infrastructure.

Google has recently begun expanding external access to its TPUs, previously used mostly for internal projects. This shift has attracted a number of high-profile customers, including Apple, as well as AI startups Anthropic and Safe Superintelligence (SSI) — both of which were founded by former OpenAI executives and are direct rivals in the AI field.