Why Choose Us?
We're not just your tech team — we're your thought partner. Every collaboration begins with deep understanding, followed by sharp execution.
Founder-Led GPU Expertise
GPU
Balázs Keszthelyi built the first OpenCL benchmark adopted by major GPU vendors and architected the VC-6 codec. With decades of GPU-first innovation, TechnoLynx is led by one of the field’s most credible pioneers.
Algorithm Redesign for Speed
GPU
We don’t just move code to GPUs, we rethink the algorithm. From simulation engines to custom AI pipelines, we redesign logic to unlock real-world speedups that straight-up GPU porting can’t deliver.
Full-Stack Performance Tuning
GPU
GPU speed means nothing if the rest of your stack lags. We optimise across CPU, memory, and I/O to eliminate bottlenecks and ensure your system performs as a whole.
AI + GPU: Smarter, Faster Systems
GPU
We blend custom-coded logic with AI inference, optimised for GPU performance engineering. The result: intelligent systems that are fast, efficient, and ready for real-time deployment.
Cross-Platform GPU Porting
GPU
From CUDA to Metal, OpenCL to Vulkan: we make your code run fast on any GPU. We’ve helped clients unlock Apple silicon, AMD, and NVIDIA platforms with precision.
Visual Computing, Not Just Compute
GPU
We don’t just accelerate code, we visualise it. From GPU-accelerated simulations to 3D rendering and XR, we bring deep graphics expertise to projects that need both performance and visual clarity.
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.
What makes TechnoLynx’s GPU expertise unique?
Our founder, Balázs Keszthelyi, is a recognised pioneer in GPU computing, having built the first OpenCL benchmark adopted by major GPU vendors and architected the VC-6 codec.
Can you optimise AI and computer vision pipelines for any GPU hardware?
Yes, we support CUDA, OpenCL, Vulkan, Metal, and DirectX, enabling high performance on NVIDIA, AMD, Apple silicon, and other platforms.
Can you help us accelerate our AI models for real-time inference?
Yes, we specialise in model quantisation, pruning, and GPU-optimised inference using TensorRT, ONNX, and custom pipelines for low-latency, high-throughput applications.
Can you support cross-platform deployment and future-proofing?
Definitely. We design solutions that are portable across GPU vendors and operating systems, ensuring long-term flexibility and scalability.
Do you develop XR (AR/VR/MR) applications as well?
Yes, XR is part of our offering. We deliver GPU-accelerated rendering, real-time tracking, and immersive applications for training, simulation, and digital twins.
Can you optimise for both inference and training workloads on GPUs?
Yes, we design and tune pipelines for both AI model training and inference, using frameworks like TensorRT and ONNX for deployment, and using multi-GPU setups for scalable training.
What’s your experience with multi-GPU and distributed GPU systems?
We architect and implement multi-GPU and distributed GPU solutions for large-scale simulation, rendering and AI, enabling near-linear scaling and high throughput.
How do you handle memory management and bandwidth optimisation on GPUs?
We use advanced profiling and memory access pattern analysis to minimise latency, avoid bottlenecks and maximise throughput, especially for large datasets and real-time applications.
Can you help with GPU benchmarking and performance audits?
Absolutely. We provide detailed benchmarking, including kernel profiling, shader analysis and end-to-end system audits, with actionable recommendations for improvement.
Explore our latest thought leadership on innovation, technology, and industry best practices.
Dec 15, 2023
Case study on moving a GPU application from OpenCL to Metal for our client V-Nova. Boosts performance, adds support for real-time apps, VR, and machine learning on Apple M1/M2 chips.
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May 15, 2023
Learn how TechnoLynx helps reduce inference costs for trained neural networks and real-time applications including natural language processing, video games, and large language models.
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Jan 23, 2020
TechnoLynx used GPU acceleration to improve physics simulations for an SME, leveraging dedicated graphics cards, advanced algorithms, and real-time processing to deliver high-performance solutions, opening up new applications and future development potential.
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