Driving speed, efficiency, and monetization to AI cloud services
Why AI clouds need reliable data center networks
The growing use of artificial intelligence (AI) applications is creating big data center networking challenges for AI and cloud providers, telecommunication providers and enterprises. Projections by AllAboutAI show that by 2030, AI workloads will represent 70% of total data center. Network and IT teams are already feeling the pressure.
The reason for this strain is that AI uses compute in new ways. Its workloads are far more complex, compute-intensive and parallelized than those of traditional applications. As these workloads become bigger and more complex, the intensity and dynamism of their communication patterns grow, too, creating additional networking demands. And user experience expectations for AI are growing all the time.
To meet the service expectations of AI workloads and users, organizations need data center networks that are designed for the AI era. They need the ability to deploy scalable, high-performance solutions that provide ultra-reliable data center networking, no matter where AI pivots next.
Gcore, a global AI, network, cloud, and security company headquartered in Luxembourg, leads the way in tackling the networking challenges of AI workloads. The company natively supports AI-based applications and workloads with the networking performance, scale and reliability needed to thrive.
A history of content delivery excellence
Gcore provides AI, network, cloud and security solutions to more than 5000 customers each month, spanning industries from telcos to finance, healthcare to gaming, and beyond. It operates over 210 points of presence and 50 cloud locations across six continents and has more than 14,000 peering partners, creating a truly global network.
Founded in 2014, Gcore started by building a content delivery network (CDN) for the gaming industry. More than a decade later, the company continues to provide its core CDN services, but has built a broad suite of technology solutions that it offers across its global network. These solutions include AI software and infrastructure, DDoS protection, Web Application and API Protection (WAAP) and comprehensive cloud services.
Gearing up for AI clouds
At its heart, Gcore is always looking to drive and empower innovation for its customers. Like many cloud providers, Gcore is currently focused on helping its customers cope with the demands of AI workloads and has developed a range of public cloud and ISV solutions to this end.
The company recently launched Gcore AI Cloud Stack, a next-generation software solution for building scalable, high-performance private AI clouds. The main premise of this new solution is to enable their customers to rapidly transform raw NVIDIA graphics processing unit (GPU) clusters into a fully cloudified, multitenant infrastructure, providing a fast track to new revenue.
With AI Cloud Stack, Gcore is collaborating with VAST Data and Nokia to address three key challenges that organizations encounter when they deploy and operate large-scale AI infrastructure:
- Slow time to market
- Inefficient operations
- Difficulty monetizing capacity.
AI Cloud Stack addresses these challenges by integrating Gcore software with VAST’s AI storage system and open, programmable and reliable networking from Nokia. The result is a complete solution for building, running and commercializing private AI infrastructure.
The solution makes it easy to turn GPU clusters into multitenant cloud infrastructures. Organizations can use AI Cloud Stack to quickly open new revenue streams and maximize GPU utilization. AI Cloud Stack is already delivering results on tens of thousands of GPUs across Europe, with proven results on GPU estates of 20,000+.
Seva Vayner, Product Director for Edge Cloud and AI at Gcore, describes how the new solution addresses AI cloud demands: “Scalable networking is the backbone of the AI era. By building AI services on Nokia’s resilient and performant underlying fabric, Gcore can focus on our core mission: pioneering the next generation of automated, intelligent services. This collaboration delivers the performance and reliability our customers need to confidently adopt AI for mission-critical use cases.”
Reliable data center networking powers AI clouds
Gcore recognizes that the data center networks behind AI clouds need to extend frictionless, reliable connectivity across the AI infrastructure to deliver the best possible performance for every training and inference task.
With the right networking foundation, many mission-critical AI use cases can be addressed. For example, smart cities require high-capacity, low-latency networking so traffic control, public safety, and autonomous services can respond in near real time. By placing compute and analytics closer to sensors and applications, the network minimizes delays end-to-end, enabling faster decision-making, higher reliability, and a smoother, safer experience for residents.
By collaborating with Nokia, Gcore addresses some of the key AI Cloud Stack customer requirements:
- For the seamless delivery of real-time AI applications, Nokia offers data center switches that were specifically designed for the massive jump in network performance required. These switches excel at the creation and transportation of lossless and low-latency services.
- To maximize visibility and adaptability, Nokia builds its switches with a network operating system (NOS) that offers both broad and granular telemetry, maximizing automation along with programmability and openness. This allows it to integrate and adapt into any network ecosystem.
- To reach customers globally across the internet and clouds, Nokia offers a suite of data center gateway routers that offer industry-leading performance, scale and security.
AI Cloud Stack leverages these capabilities to provide customers with the reliable, intuitive, and flexible networking they need to launch AI clouds that can support the most challenging training and inference workloads, both now and in the years to come.
Find out more
Read the Gcore press release to find out more about how AI Cloud Stack accelerates AI cloud deployment and turns raw GPU infrastructure into enterprise-grade AI services.
Visit our AI data center networking page to learn more about how the Data Center Fabric solution can help you build networks that exceed the performance, scale and reliability demands of AI applications.
