Case Study: CloudRF Signal Propagation and Tower Optimisation
May 15, 2025
See how TechnoLynx helped CloudRF speed up signal propagation and tower placement simulations with GPU acceleration, custom algorithms, and…
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Accelerating Connectivity
AI & HPC for Telecom and Media
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Telecom operators and broadcast platforms are under pressure to deliver high-quality experiences on a scale. TechnoLynx enables this with GPU-accelerated signal simulations, codec optimisation, and AI-driven analytics for real-time insights.
Industry Landscape
Challenges include:
Generic R&D claims won’t suffice. Our proof lies in projects that have transformed performance for global leaders.
Why Choose Us?
Our Promise
Enterprises expect measurable outcomes. Our modules deliver human‑perceived quality metrics and low‑latency pipelines, accelerating pilots into offer‑ised services operators can market.
CloudRF Signal Propagation Acceleration
Cut multi-day simulations to hours with GPU optimisation.
Custom Codec Engineering
Expertise in V-Nova LCEVC and Teraki for bandwidth-efficient streaming.
AI Analytics for Telco Data
Real-time pattern detection and anomaly alerts for proactive incident management.
Areas of Expertise
Signal Propagation
Codec Engineering
Generative AI
High-Performance Computing
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Case-Study: V-Nova - GPU Porting from OpenCL to Metal
Dec 15, 2023
Case study on moving a GPU application from OpenCL to Metal for our client V-Nova.
Read moreTechnology Stack
Python
C++
PyTorch
TensorFlow
CUDA
OpenCL
FFmpeg
NVIDIA GPUs
AWS EC2
Where This Goes Next
When the question narrows to a specific workload rather than a general capability, these productised engagements are the entry points:
- Inference Cost-Cut Pack: when codec or streaming throughput costs more than it should, with a measured before/after on a named pipeline.
- Production AI Monitoring Harness: when network anomaly detection needs eval harnesses and release gates your on-call can defend.
- AI Porting & Deployment Pack: when a codec or vision path has to run on new hardware or a new target, benchmarked where it ships.
For the underlying GPU and codec engineering, see GPU performance engineering.
Client Testimonials
TechnoLynx delivered the project on time and provided quality outputs that met the client's expectations. The team was proactive in providing ideas and suggestions, and they were careful at properly planning the tasks. The client also praised the team's expertise in GPU programming and AI.
TechnoLynx's skill in low-level software development was impressive. TechnoLynx was able to create four prototypes with common components and an interface for easy maintenance. The client was extremely happy with the solution's speed. Moreover, their communication was seamless and straightforward.
TechnoLynx's unique aspect is that they're able to transform complex theories into practicable and applicable results. TechnoLynx provides research reports and architecture planning documents. The team is able to transform complex theories into practicable and applicable results. TechnoLynx's project management is strong and delivers work on time without hardware issues, being responsive through virtual meetings.
I’m delighted with our collaboration with their team. Thanks to TechnoLynx's work, the client has been able to co-author two patents. They lead responsive project management to solve problems quickly. The team also praises their skilled and knowledgeable team.
We had high-efficiency meetings. TechnoLynx’s work resulted in a successful breakthrough, and their input improved the client’s app. Their flexible and organised project management cultivated a healthy collaboration experience. Ultimately, their professionalism and commitment were impressive.
Telco & Media Optimization FAQ
How does TechnoLynx optimize Telco and Media workflows?
We accelerate high-bandwidth, low-latency operations using GPU-driven engineering. Our expertise covers:
- RF & Signal Propagation: Large-scale simulations for tower and network planning.
- Media Streaming: Codec performance optimization for 4K/8K, streaming, and XR.
- Proactive Operations: AI analytics for real-time incident detection and network maintenance.
Can you improve Quality of Experience (QoE) without payload inspection?
Yes. We prioritize privacy-preserving QoE optimization. By analyzing stream metadata, network telemetry, and heuristic perceptual signals, we derive quality metrics without ever inspecting sensitive content payloads. This keeps workloads compliant and computationally efficient.
What is TechnoLynx’s experience with modern video codecs?
We specialize in the implementation and tuning of high-efficiency codecs, including LCEVC. Our team builds custom pipeline optimizations for low-latency delivery and immersive XR use cases, ensuring bandwidth efficiency without compromising visual fidelity.
Where are TechnoLynx solutions typically deployed?
We provide flexible deployment models tailored to your data sovereignty and latency needs:
- Edge: For ultra-low latency real-time processing.
- On-Prem: For maximum security and localized control.
- Cloud: Containerized GPU environments (e.g., AWS EC2 GPU) for massive scalability.
What real-world results has TechnoLynx achieved in Telco?
One of our primary proof points is the CloudRF Signal Propagation & Tower Optimisation engine. We built a GPU-accelerated simulation engine that transformed large-scale propagation studies from time-intensive tasks into practical, day-to-day planning tools.
How do you integrate with existing media toolchains?
We extend, rather than replace, your current stack. TechnoLynx solutions integrate via standard media components like FFmpeg, custom C++/Python libraries, and robust APIs, ensuring a seamless fit into your existing RF simulation or video processing pipelines.
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- Computer VisionProduction CV pipelines from edge perception to cloud analytics.
- GPU Performance EngineeringThroughput, latency, and cost wins from kernel up to cluster.
- Generative & Agentic AILLMs, agents, and synthesis systems engineered for reliability.
- TelecommunicationsAI-assisted network operations and infrastructure intelligence.