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2 posts tagged with "Cloud Computing"

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Climate Pledge

· 2 min read
Michael
Cloud Engineer @ OpsZero

by Michael Doherty · Jul 16, 2024

opsZero Climate Pledge

At opsZero, we understand the critical importance of enabling sustainable solutions for the future. Our commitment to carbon neutrality and reducing environmental impact drives us to continually adopt innovative practices and frameworks. By helping our customers lower costs and decrease resource usage, we are making strides toward a more sustainable future.

In an era of rapid AI adoption, the demand for compute resources is skyrocketing. To reduce emissions and energy consumption, we implement a multi-pronged approach:

1. Application Modernization

Transitioning from Virtual Machines to containerized architectures significantly enhances resource utilization, scalability, and energy efficiency.

2. Cloud Migration

Moving applications from on-premises to public and private clouds allows us to leverage shared resources in secure, controlled environments. For example, AWS infrastructure is up to 4.1× more energy efficient than on-premises solutions and can reduce a workload’s carbon footprint by up to 99%.

3. Advanced Technologies

Utilizing AWS Graviton processors, which are more efficient than traditional x86 processors, helps us achieve greater energy efficiency.

4. Workload Optimization

Running workloads on the compute processors that are best suited for a particular application—such as AI training vs. inference—to maximize performance and resource usage.

5. Sustainable Data Centers

Partnering with data centers that operate on renewable energy and are innovating to reduce water usage further supports our sustainability goals.


✨ Join us at opsZero in our mission to reduce consumption and carbon emissions for future prosperity.

AI Workloads on Alpha3Kube

· One min read
Michael
Cloud Engineer @ OpsZero

AI Workloads

AI Workloads: Reduce Spend on Alpha3Kube

Running AI workloads on Alpha3Kube, a managed Kubernetes service in partnership with Prov.net and powered by HPE GreenLake, delivers increased cost efficiency. Here’s how:

Scalable Resources

Dynamically adjust capacity to meet your AI demands, ensuring you only pay for what you use.

High Performance

Leverage HPE hardware and Kubernetes orchestration to maximize performance and reduce computation time.

Running AI and data pipelines shouldn’t be cost prohibitive. 👉 Get in touch to learn how we can support your AI workloads in the cloud.