260K views · 1K reactions | A strong foundation supports endless possibilities. ☁️ Amazon SageMaker HyperPod is purpose-built for foundation model development—reducing training time by improving training performance, optimizing resource utilization, and enabling an efficient training environment.  https://go.aws/46BbTBK | Amazon Web Services | Facebook

1.7K reactions · 28 shares | Fragmented workflows? Reassemble the collaborative big picture. 里☁️ Now in preview, Amazon SageMaker Unified Studio offers an integrated experience to use all your data & tools for analytics & AI. With the ability to build from a single data & AI development environment, the collaborative puzzle clicks into place. ️ https://go.aws/4ghFrcU | Amazon Web Services | Facebook

934 reactions · 19 shares | Tear down inefficient data pipelines & build anew. ️☁️ Amazon SageMaker leverages powerful SQL capabilities from Amazon Redshift to analyze your unified data enabling near real time analytics to accelerate decision-making without building complex data pipelines. Unclog your data flow & let insights pour in. ️ https://go.aws/3Bitq8d | Amazon Web Services | Facebook

1.4K reactions · 24 shares | Unlock the power of your data with a unified data & AI platform. ☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. ️ https://go.aws/49iZwxc | Amazon Web Services | Facebook