Google and Microsoft earnings reveal heavy AI spending and cloud growth

2023-07-27
关注

  •  

Google and Microsoft have both made significant investments in hardware as the tech giants race to try and dominate the enterprise AI market. The companies have been infusing their cloud-based productivity software with AI over recent months, and have been spending big on the chips and servers required to power these services.

Google and Microsoft revealed their latest quarterly earnings on 25 July. (Photo by Rokas Tenys/Shutterstock)

The duo reported solid growth when disclosing their quarterly earnings late on Tuesday, but while investors greeted Google’s results positively, with the company’s share price rising 8%, Microsoft’s stock fell 4% in value.

Google Cloud grows on the back of AI services

The enthusiasm for Google’s results, which saw the company report higher than anticipated income of $74.6bn for the three months to the end of June, has likely been driven by the performance of its core advertising business, which is showing signs of rebounding after months of struggle.

But there are reasons to be cheerful for its cloud computing division, Google Cloud, too, with income up 28% from the same period in 2022, to $8.1bn, slightly ahead of the expected $7.75bn. It remains the third-biggest player in the public cloud market, a considerable distance behind Microsoft’s Azure service and the market leader, Amazon’s AWS.

Since the turn of the year, Google has launched Bard, its AI-powered chatbot, which is designed as a competitor for OpenAI’s massively popular ChatGPT service. It has also detailed plans to add more AI to its core search product, as well as its Google Workspace productivity suite.

Ruth Porat, Google’s CFO, told investors on the company’s earnings call that the bulk of the company’s spending in the quarter had been on servers to cater for these AI services. Porat, who announced she is leaving her role to head up Google’s ‘Other Bets’ division, said the company had made a “meaningful investment” in AI computing and is likely to continue to do so.

Companies building AI services have been reliant on GPU chips from Nvidia to train and run their models, with vendors snapping up Nvidia’s flagship A100 and its successor, the recently released H100, in their thousands.

However, Google Cloud also has its own in-house AI chips, known as TPUs, which it uses to power some services. This may help it keep costs lower than some of its rivals.

Content from our partners

How tech teams are driving the sustainability agenda across the public sector

How tech teams are driving the sustainability agenda across the public sector

Finding value in the hybrid cloud

Finding value in the hybrid cloud

Optimising business value through data centre operations

Optimising business value through data centre operations

Microsoft Azure won’t reap AI’s financial benefits until 2024

Microsoft’s AI efforts are entirely reliant on the technology of others, with hardware provided by Nvidia and AI models from OpenAI, the AI lab in which Microsoft has invested billions over the past three years.

View all newsletters Sign up to our newsletters Data, insights and analysis delivered to you By The Tech Monitor team

The company’s revenue for the quarter to the end of June was $56.1bn, up 8% year-on-year, with its Intelligent Cloud business unit, which includes Azure, bringing in $23.9bn, compared with $20.8bn in 2022. Microsoft does not break down Azure’s results in detail.

Costs at Microsoft grew as it built new data centres to support its AI push, said CFO Amy Hood. She told analysts that capex costs would continue to grow in the coming financial year. The last quarter saw infrastructure spending of $10.7bn, up from $7.8bn the previous quarter.

Thanks to its partnership with OpenAI, Microsoft has been a front runner in providing AI products for businesses, with its automated services, branded Copilot, being included in its Office 365 package, as well as in its Bing search engine and developer tools.

Hood said the company is not likely to start seeing the benefit of these investments until the second half of the coming financial year.

Read more: Google Cloud launches anti money laundering AI tool

  •  

  • en
您觉得本篇内容如何
评分

相关产品

EN 650 & EN 650.3 观察窗

EN 650.3 version is for use with fluids containing alcohol.

Acromag 966EN 温度信号调节器

这些模块为多达6个输入通道提供了一个独立的以太网接口。多量程输入接收来自各种传感器和设备的信号。高分辨率,低噪音,A/D转换器提供高精度和可靠性。三路隔离进一步提高了系统性能。,两种以太网协议可用。选择Ethernet Modbus TCP\/IP或Ethernet\/IP。,i2o功能仅在6通道以太网Modbus TCP\/IP模块上可用。,功能

雷克兰 EN15F 其他

品牌;雷克兰 型号; EN15F 功能;防化学 名称;防化手套

Honeywell USA CSLA2EN 电流传感器

CSLA系列感应模拟电流传感器集成了SS490系列线性霍尔效应传感器集成电路。该传感元件组装在印刷电路板安装外壳中。这种住房有四种配置。正常安装是用0.375英寸4-40螺钉和方螺母(没有提供)插入外壳或6-20自攻螺钉。所述传感器、磁通收集器和壳体的组合包括所述支架组件。这些传感器是比例测量的。

TMP Pro Distribution C012EN RF 音频麦克风

C012E射频从上到下由实心黄铜制成,非常适合于要求音质的极端环境,具有非常坚固的外壳。内置的幻像电源模块具有完全的射频保护,以防止在800 Mhz-1.2 Ghz频段工作的GSM设备的干扰。极性模式:心形频率响应:50赫兹-18千赫灵敏度:-47dB+\/-3dB@1千赫

ValueTronics DLRO200-EN 毫欧表

"The DLRO200-EN ducter ohmmeter is a dlro from Megger."

评论

您需要登录才可以回复|注册

提交评论

广告

techmonitor

这家伙很懒,什么描述也没留下

关注

点击进入下一篇

What’s the role of a CTO in an AI-driven world?

提取码
复制提取码
点击跳转至百度网盘