Hvordan spare mer enn USD 600 per måned ved IKKE å bruke AWS® Transfer Family?

AWS Transfer Family er den nye tjenesten fra Amazon AWS®® for å få tilgang til S3® via FTP, FTPS og SFTP. Dessverre kostnaden per måned for 3 protokoller er over US $ 600 per måned… Pluss: Ekstra opplastings- og nedlastingskostnader er ikke inkludert!

Ikke bruk AWS Transfer Family!
Sier Quantum Hosting®

Det er mange gateways-alternativer som starter på $ 10 / måned, Trafikk inkludert. Kontakt oss hvis du trenger slik service.

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Cloud News

Meta Llama 3 models are now available in Amazon Bedrock

The instruction-tuned large language models have been pre-trained on over 15 trillion tokens of data—a training dataset seven times larger than that used for Llama 2 models. [Les mer]

Guardrails for Amazon Bedrock now available with new safety filters and privacy controls

With Guardrails for Amazon Bedrock, you can implement safeguards in your generative artificial intelligence applications that are customized to your use cases and responsible AI policies. [Les mer]

Agents for Amazon Bedrock: Introducing a simplified creation and configuration experience

With Agents for Amazon Bedrock, applications can use generative artificial intelligence (generative AI) to run tasks across multiple systems and data sources. Starting today, these new capabilities streamline the creation and management of agents: Quick agent creation – You can now quickly create an agent and optionally add instructions and action groups later, providing flexibility […] [Les mer]

Amazon Bedrock model evaluation is now generally available

This new capability helps you to incorporate generative AI into your application by letting you select the foundation model that gives you the best results for your particular use case. [Les mer]

Import custom models in Amazon Bedrock (preview)

With Amazon Bedrock, you have access to a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies that make it easier to build and scale generative AI applications. Some of these models provide publicly available weights that can be fine-tuned and customized for specific use cases. However, deploying customized FMs in a […] [Les mer]

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