- In March 2025, Amazon Web Services (AWS) launched Amazon SageMaker HyperPod, a new MLaaS offering designed to train foundation models up to 40% faster. This service provides an optimized infrastructure stack with built-in support for scaling and automation, helping enterprises accelerate AI model development while reducing operational complexity and cost.
- In February 2025, Google Cloud announced an expansion of its Vertex AI platform, introducing advanced capabilities for multi-modal model training and real-time inference. The upgrade supports greater interoperability between APIs and simplifies deployment across hybrid and multi-cloud environments, aiming to boost enterprise adoption of machine learning services.
- In January 2025, Microsoft Azure partnered with OpenAI to launch an enterprise-focused Copilot API through Azure ML. This offering allows businesses to integrate conversational AI and generative ML into their applications with minimal coding, significantly enhancing productivity and user experience across sectors such as finance, retail, and customer service.
- In November 2024, IBM introduced Watsonx, a rebranded and upgraded suite of AI and machine learning tools designed for more secure and scalable model training. Watsonx offers enhanced governance and transparency features, including auditability and bias detection, addressing critical compliance and ethical AI deployment concerns in regulated industries such as healthcare and finance.
