AI-Powered Telecom for Leading Strategic Growth and Innovation
The telecommunications industry is at a critical juncture, with telcos uniquely positioned to drive digital transformation and economic growth. By building robust AI infrastructures, telcos can offer advanced AI services to various sectors, from healthcare to finance, creating new revenue streams and fostering cross-industry partnerships.
Supermicro, in collaboration with NVIDIA, delivers AI-powered infrastructure tailored for telcos, enhancing operational efficiency, network management, and customer experiences. Our solutions enable telcos to leverage AI for strategic growth, positioning them as leaders in the evolving digital economy.
“The global AI in telecommunication market is expected to grow at a 41.4% CAGR from 2024 to 2033, with applications across network security, optimization, customer analytics, virtual assistance and self-diagnostics”
“90% of telco executives report that their organizations are currently engaged with AI from the experimentation stage to full-scale deployment”
Reimagining Contact Centers
Enhancing Customer Experiences with AI
- Automated Inquiry Handling
- Enhanced Representative Support
- Seamless Omnichannel Experience
- B2B Service Expansion
AI-powered contact centers transform customer interactions, streamline operations, and offer advanced support, making them a valuable asset for both internal use and B2B offerings.
“Communication Service Providers are placing strong emphasis on using generative AI to enhance customer-centricity with chatbots the most widely adopted use case, with 63% of respondents who selected this use case indicating it was already in production”
62% of customers would rather use a customer service chatbot than wait for a human representative1.
Streamlined Network Operations
Optimizing Efficiency with AI-Driven Automation
- Automated Maintenance
- Self-Optimizing Networks
- 5G Enhancement
- Predictive Analytics
AI-driven solutions streamline network operations, enhance efficiency, and improve service quality by automating maintenance and optimizing resource management.
“Improving efficiency and productivity by using generative AI is by far the highest value driver. 41% of Communication Service Providers see generative AI as assisting employees in producing quicker and higher quality output”
In 2023, 37% of respondents were investing in network predictive maintenance and 34% were investing in network planning and operations (including RAN)2.
By 2028, 61% of telco aspire to at least achieve a conditional autonomous network that can sense real-time environmental changes and, in certain network domains, optimize and adjust its operation to the external environment to enable intent-based closed-loop management3.
Predictive Analytics for Business Insights
Transforming Business Intelligence through AI
- Advanced Customer Insights
- Operational Efficiency
- B2B Services Expansion
- Customized Solutions
AI-powered predictive analytics enable telcos to gain deeper customer insights, enhance operational efficiency, and extend valuable services to B2B clients, driving business success and innovation.
“42% of telcos respondents are piloting or have a partial/full scale implementation of an autonomous network to understand subscriber churn/behavior and take corrective action to retain customers”
“I have seen how AI can help increase productivity in customer care operations and create new services such as personalized customer experiences, targeted marketing campaigns and automated customer service chatbots4.”
AI Factories for Sovereign AI Infrastructure
Elevating Data Centers with Cutting-Edge AI Capabilities
- Data Centers Optimized for AI Training and Inferencing
- Secure Infrastructure
- AI Models Optimized for National and Local Culture
- Expanded Data Center Capabilities
AI factories enable telcos to enhance their data centers with specialized AI infrastructure, supporting national AI initiatives and providing secure, high-performance solutions for various sectors.
“‘Cooperation with global leading companies in the AI data center sector will be the cornerstone for SK Telecom to emerge as a global AI company,’ SK Telecom CEO Ryu Young-sang said. ‘Through cooperation with Supermicro and Lambda, SK Telecom’s AI data center business is expected to achieve meaningful results within this year.’”
“‘I am a firm believer that every country ought to have some sovereign capability on artificial intelligence, including large language models for AI,’ said IBM chairman and CEO Arvind Krishna. ‘The government needs to support setting up national AI computing centers and common data sets for specific use cases5.’”
5G Monetization with Edge AI and 6G Research
Maximizing 5G Potential and Driving 6G Innovation
- 5G Edge Monetization
- AI-Driven 6G R&D
- Revenue Opportunities
- Edge Computing
Telcos can capitalize on 5G monetization and accelerate 6G innovation by integrating AI, creating new revenue streams and enhancing connectivity with advanced edge computing and immersive experiences.
“According to GSMA, the network accounts for 90% of energy use for an operator on average and the RAN represents more than 80% of this. 97% of executives in the survey believe that embracing higher levels of autonomous networks will optimize energy usage, concurrently reducing carbon emissions within their organizations”
“‘When we are designing the 6G network, we’re going to use AI technology in designing the air interface and also in managing the 6G network,’ says Qin. ‘The 6G network will self-train, self-learn, and it will actually grow to become more and more powerful6.’”
Accelerating Transformation: AI-Powered Telecom
Are you interested in how AI is revolutionizing the telecommunications industry?
From enhancing operational efficiency to delivering superior customer experiences, AI is driving rapid transformation in the TELCO sector. Discover how cutting-edge AI technologies are helping Telecom companies stay competitive and thrive in a dynamic market.
Join our webinar with industry experts from Supermicro and NVIDIA as we explore:
- Why 90 percent of telco executives report that their organizations are engaged with AI
- What the most common AI-powered Telecom use cases are
- How AI factories are transforming sovereign AI infrastructure development and deployment
SYS-E403-13E-FRN2T
| Dimensions (mm) H × W × D | 117.3 × 266.7 × 406.4 |
|---|---|
| Cooling | Air |
| Key Features | 5885 (Llama v2 7B) ɸdLLM Throughput(Tokens/sec per GPU) |
Use Cases: 5G Monetization with Edge AI and 6G Research | |
| GPU Support |
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SYS-111E-F(D)WTR
| Dimensions (mm) H × W × D | 43 × 437 × 429 |
|---|---|
| Cooling | Air |
| Key Features | 5885 (Llama v2 7B) ɸeLLM Throughput(Tokens/sec per GPU) |
Use Cases: 5G Monetization with Edge AI and 6G Research | |
| GPU Support |
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SYS-221HE-FTNR(D)
| Dimensions (mm) H × W × D | 89 × 437 × 574 |
|---|---|
| Cooling | Air |
| Key Features | 2335 (Llama v2 70B) *cLLM Throughput(Tokens/sec per GPU) |
Use Cases: Reimaging Contact Centers to Enhance Customer Experiences, Streamlined Network Operations, Predictive Business Insights, 5G Monetization with Edge AI and 6G Research | |
| GPU Support |
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ARS-111GL-NHR
| Dimensions (mm) H × W × D | 44 × 440 × 940 |
|---|---|
| Cooling | Air |
| Key Features | 3401 (Llama v2 70B) ɸaLLM Throughput(Tokens/sec per GPU) |
Use Cases: Reimaging Contact Centers to Enhance Customer Experiences, Streamlined Network Operations, Predictive Business Insights, 5G Monetization with Edge AI and 6G Research | |
| GPU Support |
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SYS-421GE-TNHR2-LCC
| Dimensions (mm) H × W × D | 174 × 449 × 842 |
|---|---|
| Cooling | Liquid |
| Key Features | 3269 (Llama v2 70B) ɸbLLM Throughput(Tokens/sec per GPU) |
Data Center Cluster:
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Use Cases: AI Factories for National Sovereign AI Infrastructure, Streamlined Network Operations, Predictive Business Insights | |
| GPU Support |
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SYS-821GE-TNHR
| Dimensions (mm) H × W × D | 356 × 437 × 843 |
|---|---|
| Cooling | Air |
| Key Features | 3269 (Llama v2 70B) ɸbLLM Throughput(Tokens/sec per GPU) |
Data Center Cluster:
| |
Use Cases: AI Factories for National Sovereign AI Infrastructure, Streamlined Network Operations, Predictive Business Insights | |
| GPU Support |
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- Input Length = 128, Output Length = 128, Batch Size = 256
- Input Length = 128, Output Length = 128, Batch Size = max
- TP = 1, with 1x GH100
- TP = 2, with 2x H100
- TP = 1, with 1x H100 NVL
- TP = 1, with 1x L40S
- TP = 1, with 1x L40
Supermicro + NVIDIA: A Range of Solutions
In close partnership with NVIDIA, Supermicro offers one of the broadest selections of NVIDIA-Certified systems, delivering exceptional performance and efficiency. Our systems are designed to support everything from small enterprise deployments to massive, unified AI training clusters, featuring the new NVIDIA H100 and H200 Tensor Core GPUs.
Together, Supermicro and NVIDIA have achieved up to nine times the training performance of the previous generation for complex AI models, reducing training time from a week to just 20 hours. Our systems are equipped with H100 PCIe, HGX H100 GPUs, and the newly announced HGX H200 GPUs.
Key features include PCIe 5.0 connectivity, fourth-generation NVLink and NVLink Network for scale-out, and enhanced networking with NVIDIA ConnectX®-7 and BlueField®-3 cards. These advancements empower GPUDirect RDMA and Storage with NVIDIA Magnum IO and NVIDIA AI Enterprise software.