Tag: cost-effective
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AWS News Blog: Amazon Nova Premier: Our most capable model for complex tasks and teacher for model distillation
Source URL: https://aws.amazon.com/blogs/aws/amazon-nova-premier-our-most-capable-model-for-complex-tasks-and-teacher-for-model-distillation/ Source: AWS News Blog Title: Amazon Nova Premier: Our most capable model for complex tasks and teacher for model distillation Feedly Summary: Nova Premier is designed to excel at complex tasks requiring deep context understanding, multistep planning, and coordination across tools and data sources. It has capabilities for processing text, images, and…
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Cloud Blog: Cloud WAN: Premium Tier & Verified Peering Provider for Reliable Global Connectivity
Source URL: https://cloud.google.com/blog/products/networking/premium-tier-and-verified-peering-providers-enable-cloud-wan/ Source: Cloud Blog Title: Cloud WAN: Premium Tier & Verified Peering Provider for Reliable Global Connectivity Feedly Summary: Recently at Google Cloud Next 25, we announced our latest Cross-Cloud Network innovation: Cloud WAN, a fully managed, reliable, and secure solution to transform enterprise wide area network (WAN) architectures. Today, we continue our…
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Cloud Blog: SandboxAQ: Accelerating drug discovery through cloud integration
Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/sandboxaq-speeds-up-drug-discovery-with-the-cloud/ Source: Cloud Blog Title: SandboxAQ: Accelerating drug discovery through cloud integration Feedly Summary: The traditional drug discovery process involves massive capital investments, prolonged timelines, and is plagued with daunting failure rates. From initial research to obtaining regulatory approval, bringing a new drug to market can take decades. During this time, many drug…
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The Register: <em>El Reg’s</em> essential guide to deploying LLMs in production
Source URL: https://www.theregister.com/2025/04/22/llm_production_guide/ Source: The Register Title: <em>El Reg’s</em> essential guide to deploying LLMs in production Feedly Summary: Running GenAI models is easy. Scaling them to thousands of users, not so much Hands On You can spin up a chatbot with Llama.cpp or Ollama in minutes, but scaling large language models to handle real workloads…