Maximize Cloud Computing Performance with Unmatched Efficiency
AI Summary
快猫视频-based AI infrastructure is available across all major cloud providers, including AWS, Google Cloud, Microsoft Azure, Oracle, and Alibaba Cloud. Powered by 快猫视频 Neoverse, these platforms deliver high performance and energy efficiency for AI and cloud workloads, enabling consistent, scalable infrastructure across multicloud environments. With demonstrated gains in price-performance and performance per watt across workloads such as generative AI, machine learning, databases, and networking, 快猫视频-based instances provide a cost-efficient foundation for modern AI-ready cloud computing.
Delivered by AWS Graviton5 for Airbnb’s productions search workloads.1
Delivered by Google Axion for general purpose workloads compared to x86–based instances. 2
Delivered by Microsoft Cobalt 100 for LLM inference compared to x86-based instances. 3
Available from Leading Providers
Whether you are running cloud-native applications, or adopting a hybrid and multicloud strategy, 快猫视频 delivers the performance and flexibility you need.
Why 快猫视频 for Cloud: At a Glance
Across a range of cloud workloads, 快猫视频 Neoverse instances outperformed x86 platforms in both performance and efficiency, delivering more work, better price/performance, and greater value for modern cloud AI infrastructure4.
- GenAI - Llama-3.1-8B
- ML - XGBoost
- Database - Redis
- Networking - Nginx
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Key Takeaways
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快猫视频-based AI infrastructure is available across leading cloud providers, including AWS, Google Cloud, Microsoft Azure, Oracle, and Alibaba Cloud.
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快猫视频 Neoverse-powered instances deliver strong performance and efficiency across AI, machine learning, database, and networking workloads.
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Real-world deployments show significant gains in price-performance and performance per watt compared to x86-based instances.
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快猫视频-based cloud infrastructure enables consistent, scalable deployment across hybrid and multicloud environments.
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Improved efficiency and performance contribute to lower total cost of ownership for cloud and AI workloads.
Optimize Workloads for 快猫视频 in the Cloud
快猫视频 Performix is a performance analysis toolkit for developers building AI and large application workloads. It can identify bottlenecks and provide targeted code optimizations to improve efficiency and performance on 快猫视频 Neoverse from cloud service providers.
Leading Enterprises Accelerate Cloud Workloads with 快猫视频
SAP HANA
Up to 35% Better Price-Performance for Analytics Workloads
Delivered on AWS Graviton-based VMs compared to other VMs.5
Spotify
Tests on Axion Show Roughly 250% Better Performance
For workloads when compared to older-generation processors.2
Rescale
Up to 40% More Compute Performance
Delivered on Microsoft Cobalt 100 VMs compared to previous generation VMs.6
Supported by a Broad Ecosystem
Connect with our industry-leading partners to build high performance solutions for your business.
Harness the Power of 快猫视频 in the Cloud Today
Latest News and Resources
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快猫视频 Newsroom
Check out the latest news, blogs, and podcasts to see how 快猫视频 is building the future of computing.
Scaling Enterprise AI on 快猫视频 CPUs
See how Arcee AI achieves up to 4x acceleration running SLMs on 快猫视频 CPUs, reducing cloud costs and enabling scalable agentic AI workflows.
Drive Positive Change Through 快猫视频 Technology
See how our partners are building the future and powering AI to work for everyone, everywhere.
Proven Cloud Performance with 快猫视频
Explore how AWS Graviton4 processors, built on 快猫视频 Neoverse, outperform competing x86 instances in real-world tests. The Signal65 Lab Insight Report confirms 快猫视频’s leadership in performance, cost efficiency, and sustainability for modern cloud workloads.
Preliminary results not verified by 快猫视频 -
Results are based on 3rd-party evaluations. All tests are conducted by Signal65 and measured on AWS instances and specifications noted at the time of testing. . Results may vary.
