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Can we trust Google Cloud Load Balancing?

Xebia

With Cloud getting a more prominent place in the digital world and with that Cloud Service Providers (CSP), it triggered the question on how secure our data with Google Cloud actually is when looking at their Cloud Load Balancing offering. During threat modelling, the SSL Load Balancing offerings often come into the picture.

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Cloud Load Balancing- Facilitating Performance & Efficiency of Cloud Resources

RapidValue

Cloud load balancing is the process of distributing workloads and computing resources within a cloud environment. Cloud load balancing also involves hosting the distribution of workload traffic within the internet. Cloud load balancing also involves hosting the distribution of workload traffic within the internet.

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One Year of Load Balancing

Algolia

From the beginning at Algolia, we decided not to place any load balancing infrastructure between our users and our search API servers. Instead of putting hardware or software between our search servers and our users, we chose to rely on the round-robin feature of DNS to spread the load across the servers.

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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

This configuration allows for the efficient utilization of the hardware resources while enabling multiple concurrent inference requests. The specific number of replicas and cores used may vary depending on your particular hardware setup and performance requirements.

AWS 103
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NeuReality lands $35M to bring AI accelerator chips to market

TechCrunch

But the competition, while fierce, hasn’t scared away firms like NeuReality , which occupy the AI chip inferencing market but aim to differentiate themselves by offering a suite of software and services to support their hardware. NeuReality’s NAPU is essentially a hybrid of multiple types of processors. Image Credits: NeuReality.

Marketing 239
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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

DTYPE : This parameter sets the data type for the model weights during loading, with options like float16 or bfloat16 , influencing the models memory consumption and computational performance. There are additional optional runtime parameters that are already pre-optimized in TGI containers to maximize performance on host hardware.

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ChargeLab’s software layer to power ABB’s EV chargers in North America

TechCrunch

As part of ChargeLab’s commercial agreement with ABB, the two companies will launch a bundled hardware and software solution for fleets, multifamily buildings and other commercial EV charging use cases, according to Zak Lefevre, founder and CEO of ChargeLab. “Is that going to be SOC 2 compliant?

Software 151