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Speed Dial: Turbocharging an AI-Native Telecom Industry
Fri, 14 Jun 2024 02:48:11 -0000
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Rapid innovation fueled by AI is set to revolutionize telecom data centers.
For Communication Service Providers (CSPs), artificial intelligence (AI) represents a new era of innovation, and disruption. The sector itself is seeing AI-powered progression at a pace almost unimaginable just a couple of years ago.
With 63% of CSPs seeing costs fall in specific business areas where they’ve implemented AI1, few sectors are realizing AI’s potential to improve efficiency more than telcos.
AI is revolutionizing data center workloads faster than any other technological transformation. And in the race to gain an advantage, CSPs look to AI workloads to modernize their networks. Through automation, they’re enhancing network performance, transforming operations, improving productivity, achieving higher energy efficiency, and even developing threat management strategies.
The telecom industry is shifting from AI-assisted to AI-native to deliver insights in near-real time. And CSPs increasingly need an AI-ready infrastructure with the availability, scalability, and flexibility to take on high-performance computing and AI workloads.
Acting swiftly is critical: those who build an infrastructure capable of running generative AI workloads stand to deliver upon their strategic imperatives and generate competitive advantage. But relying on hosted services from a cloud service provider is only a short-term option that will cost more over time.
CSPs need a technology partner with tools to empower them, both with speed now and cost efficiency in the long term. So, how can CSPs scale AI to the size and speed of their business without relying on cloud service providers?
Accelerating today’s AI workloads and tomorrow’s AI possibilities
The answer is to build an AI-ready telecom data center. Dell and AMD are ahead of this need for speed and are democratizing AI with a growing portfolio of ready-to-deploy open-source infrastructure dedicated to AI workloads.
Together, the Dell PowerEdge XE9680 Server and the AMD Instinct™ MI300X accelerator enable developers to create end-to-end AI workloads, such as transfer learning, fine-tuning, and inferencing — on demand, quickly and easily.
The PowerEdge XE9680 is a data-processing powerhouse that’s optimized for high performance AI applications. Its 8-way GPU option, industry-leading GPU memory capacity with 192GB of HBM3 memory combine with the MI300X accelerator’s unprecedented 5.3 terabytes of memory-bandwidth to take on the ever-increasing size of large-language models (LLMs) within a server. CSPs will be able to accelerate AI insights, simplify operations and deliver results in near-real time, while reducing their overall data center footprint, achieving lower power and improved TCO.
The fastest starters will win the race
AI is becoming pivotal in simplifying, modernizing, and automating CSPs’ business operations. Highly self-organized, intelligent, and fault-free networks will enable them to achieve never-before-seen productivity gains. By accelerating the development of new applications such as digital twins, CSPs will cut time to market for new products and services — driving more of the outcomes that matter most.
The unified ecosystem of hardware and software from Dell and AMD will also enable developers to rapidly build and deploy AI use cases in CSP AI data centers, improve productivity, drive OPEX savings and create new revenue streams. CSPs can grow both their top and bottom line, and even monetize their AI data center investments with a GPUaaS model, by hosting a multi-tenant AI infrastructure.
These are exciting times for the telecom sector. AI is supercharging the landscape, and the CSPs quickest off the blocks to build their own high-performance AI-ready data center will get ahead.
With a new era of leading AI accelerators just beginning, make sure to find the winning choice for your CSP. Learn how Dell Technologies and AMD can power your AI journey so you can turn your ideas into action, faster.