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Generative AI was the dominant theme at Google Cloud Next ’24, as Google rolled out new chips, software updates for AI workloads, updates to LLMs, and generative AI-based assistants for its machine learning platform Vertex AI.
Google introduced an LLM inference engine, a library of reference diffusion models, and TPU optimizations for transformer models at Google Cloud Next ’24.
Other updates include grounding applications and virtual agents in Google Search via Vertex AI and Vertex AI agent builder.
Formerly Duet AI for Developers, Gemini Code Assist taps Google’s most powerful generative AI model for code completion, code generation, and code chat.
AI-powered assistant for Google Cloud can help design, deploy, and configure apps, troubleshoot issues, and optimize performance and costs.
Gemini's availability across Google Cloud database offerings is expected to help developers code and migrate faster than Duet AI, which was integrated last year.
Hardware requirements vary for machine learning and other compute-intensive workloads. Get to know these GPU specs and Nvidia GPU models.
ESG scores can be a helpful tool in the pursuit of sustainability. But they won’t look deep into your architecture to see if poor design is wasting money and energy.
How WSO2’s Ballerina language and Choreo platform can be used to quickly develop, test, and deploy partner-specific EDI processing modules.
It’s no surprise that AI will be a gold mine for cloud providers. However, if vendors and customers move too far in the wrong direction, we’ll waste business value for years.
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