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VPC Service Controls – A step by step guide

Xebia

Take for example the ability to interact with various cloud services such as Cloud Storage, BigQuery, Cloud SQL, etc. For ingress access to your application, services like Cloud Load Balancer should be preferred and for egress to the public internet a service like Cloud NAT.

Policies 130
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Test drive the Citus 11.0 beta for Postgres

The Citus Data

The easiest way to use Citus is to connect to the coordinator node and use it for both schema changes and distributed queries, but for very demanding applications, you now have the option to load balance distributed queries across the worker nodes in (parts of) your application by using a different connection string and factoring a few limitations.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

The generative AI playground is a UI provided to tenants where they can run their one-time experiments, chat with several FMs, and manually test capabilities such as guardrails or model evaluation for exploration purposes. You can use AWS services such as Application Load Balancer to implement this approach.

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

The following figure illustrates the performance of DeepSeek-R1 compared to other state-of-the-art models on standard benchmark tests, such as MATH-500 , MMLU , and more. 11B-Vision-Instruct ) or Simple Storage Service (S3) URI containing the model files. Short-length test 512 input tokens, 256 output tokens.

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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

Furthermore, LoRAX supports quantization methods such as Activation-aware Weight Quantization (AWQ) and Half-Quadratic Quantization (HQQ) Solution overview The LoRAX inference container can be deployed on a single EC2 G6 instance, and models and adapters can be loaded in using Amazon Simple Storage Service (Amazon S3) or Hugging Face.

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Responsible AI in action: How Data Reply red teaming supports generative AI safety on AWS

AWS Machine Learning - AI

For both types of vulnerabilities, red teaming is a useful mechanism to mitigate those challenges because it can help identify and measure inherent vulnerabilities through systematic testing, while also simulating real-world adversarial exploits to uncover potential exploitation paths. What is red teaming?

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Easy Object Storage with InfiniBox

Infinidat

Easy Object Storage with InfiniBox. And for those of us living in the storage world, an object is anything that can be stored and retrieved later. More and more often we’re finding Infinibox deployed behind 3rd party object storage solutions. 1: Sample artifacts which may reside on object storage. . Drew Schlussel.

Storage 15