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Transforming workloads: Harnessing AI within VMware environments

CIO

The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. With Google Cloud VMware Engine, its easy to integrate Googles Vertex AI directly into the VMware environment, says Myke Rylance, client solution architect at Broadcom.

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

TechCrunch

.” NeuReality was co-founded in 2019 by Tzvika Shmueli, Yossi Kasus and Tanach, who previously served as a director of engineering at Marvell and Intel. Shmueli was formerly the VP of back-end infrastructure at Mellanox Technologies and the VP of engineering at Habana Labs.

Marketing 239
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Google opens second cloud region in Germany

CIO

Dubbed the Berlin-Brandenburg region, the new data center will be operational alongside the Frankfurt region and will offer services such as the Google Compute Engine, Google Kubernetes Engine, Cloud Storage, Persistent Disk, CloudSQL, Virtual Private Cloud, Key Management System, Cloud Identity and Secret Manager.

Cloud 148
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

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Network topologies – A series: Part 1

Xebia

This series is typically useful for cloud architects and cloud engineers, who seek some validation on possible topologies. This setup will adopt the usage of cloud load balancing, auto scaling and managed SSL certificates. Depending on the complexity and relationship of topologies, each blog will contain 1 or 2 topologies.

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

AWS Machine Learning - AI

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API. They’re illustrated in the following figure.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. For example, Can I speak to your manager?