This recognition highlights how compressed large language models (LLMs) can deliver faster, more efficient, and more sustainable AI solutions for telecom operators worldwide.
Quantum-Inspired LLM Compression for Telecom AI
As telecom companies increasingly rely on AI-powered customer service, the need for efficient and scalable LLM deployment has become critical. Multiverse Computing, in partnership with Telefónica, has addressed this challenge using quantum-inspired compression technology.
By applying CompactifAI to models such as Meta’s Llama 3.1 8B and Llama 3.3 70B, the collaboration achieved:
- Up to 80% reduction in model size
- Up to 75% lower energy consumption
- Faster inference and response times
- No loss in model accuracy or performance
These compressed LLMs are now actively used in AI chat systems that support customer service agents, improving efficiency while maintaining high-quality interactions.
Reducing AI Costs and Energy Consumption in Telecommunications
One of the most significant advantages of quantum-inspired model compression is its impact on cost and sustainability.
With smaller, more efficient models, Telefónica can:
- Reduce infrastructure and cloud computing costs
- Deploy AI models locally (on-premise)
- Lower latency for real-time applications
- Cut energy usage and operational overhead
This approach is particularly relevant for telecom operators seeking to scale AI while managing rising compute demands and energy consumption.
Sustainable AI: Lower CO₂ Emissions with Local Deployment
The GSMA report also highlights how this use case contributes to sustainable AI in telecom.
Because compressed models require significantly fewer resources, Telefónica can run them in its own facilities powered by renewable energy, resulting in:
- Substantially reduced CO₂ emissions
- Lower environmental impact of AI workloads
- Alignment with ESG and sustainability goals
This demonstrates how AI optimization technologies like CompactifAI can support both business performance and environmental responsibility.
GSMA Validates Real-World Impact of Quantum-Inspired Technologies
The inclusion of this collaboration in GSMA’s Quantum Technologies: Telecom Use Cases report reinforces a key message: quantum-inspired computing is already delivering measurable value today.
For telecom operators, this means:
- Faster deployment of LLM-based applications
- More cost-effective AI scaling strategies
- Improved sustainability without sacrificing performance
For Multiverse Computing, it confirms its leadership in AI model compression and optimization, helping enterprises unlock the full potential of large language models.
Read the full GSMA article here: https://www.gsma.com/solutions-and-impact/technologies/quantum-technologies/wp-content/uploads/2026/02/IG.19-Quantum-Technologies-Telcom-Use-Cases.pdf