Phoenix NAP

Phoenix NAP

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phoenixNAP® is a global IT services provider offering progressive Infrastructure-as-a-Service solutions from 15+ locations worldwide. Our bare metal server, cloud, hardware leasing and colocation options are built to meet the evolving technology demands businesses require without sacrificing performance. Scalable OpEx solutions to support with the systems and staff to assist; phoenixNAP global IT services.

02/26/2026

Is your network holding your AI back?🤖💨

Stop relying on the public internet for massive data transfers. Join our webinar on March 12th to discover how smart peering ensures secure, low-latency AI at scale.

What’s in it for you?

✅Expert insights from & -CIX

✅Strategies for data sovereignty

✅Chance to ask industry veterans your biggest questions

🔗Link in Bio to save your spot!

SpyFu 01/30/2026

SpyFu reduced cloud costs and scaled their AI marketing tools efficiently with phoenixNAP’s Bare Metal Cloud. With high-performance dedicated servers, automated provisioning, and next-gen technologies, they gained predictable performance and flexibility - while saving up to 50% vs hyperscale cloud providers.

Learn how BMC can power your growth:
👉 https://phoenixnap.com/company/customer-experience/spyfu

SpyFu Creator of popular AI-powered marketing revenue engine boosts performance and cuts cloud bills in half by moving mission-critical workloads to phoenixNAP’s API-driven bare metal. SpyFu is a mid-sized company based in Scottsdale. Their flagship product, SpyFu, is a web application focusing on compe...

01/26/2026

As workloads like HPC and genomics evolve, so does the role of the CPU. Built-in acceleration technologies in usage-based bare metal are enabling faster processing, better scalability, and improved energy efficiency - without relying solely on GPUs or unpredictable cloud pricing.

Hear Gerald Kunstman’s perspective on what this means for modern infrastructure.

01/19/2026

As AI products scale, inference costs can become the biggest surprise on your cloud bill.

In this video, Gerald Kunstman explains why unpredictable usage-based pricing makes inference harder to manage - and how dedicated, globally available servers with specialized CPU acceleration help teams scale AI more efficiently and sustainably.

Watch to learn how organizations are rethinking AI infrastructure as workloads grow.

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Phoenix, AZ
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