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Technology Stocks : AEHR - Semi Test Equipment related to auto chips
AEHR 32.24-4.1%Sep 24 4:00 PM EDT

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From: Return to Sender7/22/2025 3:48:46 PM
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So which major Hyperscaler is AEHR working with? I search I made came up with GOOGL or MSFT. Someone over at Yahoo thought it might be AMZN? But really it could be any of the following and all that tells me is that AEHR is doing something right that none of these companies can duplicate without help:

Here are some of the major AI hyperscalers:

  • Amazon Web Services (AWS): The largest cloud provider globally, AWS offers a fully managed environment for Machine Learning model building and deployment through services like SageMaker, Rekognition, Lex, and Polly.
  • Microsoft Azure: As the second-largest hyperscaler, Microsoft Azure provides cloud solutions for companies of all sizes, including Azure Machine Learning, Cognitive Services, Bot Service, and Azure OpenAI Service.
  • Google Cloud Platform (GCP): GCP is known for its strengths in data analytics, AI, and Machine Learning, with services like Google Cloud AI Platform, TensorFlow, Vision API, and Speech API.
  • Alibaba Cloud: The leading cloud provider in China, Alibaba Cloud offers a wide range of services, including AI capabilities.
  • NVIDIA: A key player in AI infrastructure, NVIDIA offers specialized hardware like GPUs and TPUs, along with software and platforms optimized for AI development and deployment.
  • IBM Cloud: IBM Cloud focuses on secure cloud computing for regulated industries and offers advanced AI capabilities through the IBM Watson platform.
  • Oracle Cloud Infrastructure (OCI): OCI specializes in database services and integrates AI functionality across its cloud infrastructure.

Key takeaways
  • These companies operate massive data centers and invest heavily in AI infrastructure to support the growing demand for AI services across various industries.
  • Their dominance stems from large-scale operations, network effects, and continuous investment in advanced technology.
  • They provide access to cutting-edge AI technologies and solutions without the need for extensive in-house infrastructure and expertise.
  • Choosing the right AI hyperscaler depends on specific business needs and priorities, including security requirements, cost considerations, and desired features.
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