GPU Computing for HPC

At TechnoLynx, we make high-performance computing (HPC) easier with advanced GPU technology. Explore how our GPU solutions can accelerate complex tasks and boost your projects’ efficiency.

Optimise Your HPC with Innovative GPU Computing

Let’s say you’re working on a project that demands serious computing power - whether it's rendering intricate 3D graphics, crunching data for deep learning, or crafting realistic ray tracing for video editing. The pressure is on, and every second matters. That’s where our GPU solutions can step in.

We can supercharge your high-performance computing (HPC) tasks and turn what could be a slow, cumbersome process into something fast and efficient. By optimising your computing system for high speed and high throughput, we can help you hit your deadlines with ease and deliver results that stand out. With our GPU solutions, you can complete projects faster, smarter, and more confidently.

Understanding GPU Solutions

The Basics of Graphics Processing Units

A Graphics Processing Unit or GPUis a powerful processor designed to handle demanding tasks like 3D graphics, deep learning, and large-scale data processing. Our solutions use this power to speed up your work by spreading complex tasks across multiple GPUs. Instead of relying on one computer to do all the work, we can optimise your system to handle these jobs smoothly. The result is that outputs can be arrived at faster and more accurately.

The Role of a GPU Programmer

GPU solutions are created by GPU programmers who specialise in writing and optimising code for graphics processing units. By debugging and testing, they can create solutions that make complex tasks faster and more efficient.

For example, a GPU programmer might use CUDA to optimise a deep learning algorithm to run across thousands of GPU cores simultaneously and reduce the time needed to process large datasets. Programmers make it possible for GPU-accelerated code to work smoothly within applications like image recognition or 3D rendering.

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TechnoLynx’s Strong Background in GPU Solutions

TechnoLynx has become a leader in GPU computing by consistently delivering high-performance solutions that meet the specific needs of our clients. Our success is built on the passion and expertise of our founder, Balázs Keszthelyi, who started his career as a real-time graphics programmer.

With a strong background in complex GPU projects like SPH fluid simulation and AES acceleration, Balázs laid the groundwork for our focus on innovation and quality. His work on Broadcom’s VideoCore V GPU and contributions to the OpenCL and SYCL standards reflect the technical excellence that drives everything we do.

Our team of skilled R&D Software Engineers builds on this foundation, creating optimised, parallelised GPU code that accelerates complex tasks. We use advanced technologies like CUDA and OpenCL to improve efficiency and performance in areas such as 3D graphics, deep learning, and data processing. We also have expertise in working with different architectures, including Intel’s Scalable Xeon series and NVIDIA’s Tesla A100 and H100 GPUs.

Key Areas of Expertise:

  • Parallel Computing with CUDA and OpenCL
  • Optimising Deep Learning Models
  • 3D Graphics and Rendering
  • High-Speed Data Processing
  • HPC System Integration
  • Performance Tuning and Testing

Applications of GPU

GPU solutions are bringing major changes to various industries by providing the computational power needed to tackle complex challenges quickly and efficiently. Here are three key areas where GPU technology is making an impact:

GPU Solutions in Finance

  • GPUs can accelerate risk analysis, high-frequency trading, and real-time data processing in finance. Their ability to handle large datasets quickly and precisely lets financial institutions run complex models and algorithms more efficiently. The outcome is faster decision-making and a competitive advantage in the marketplace. Interested in how GPUs are impacting finance? Learn more about their role in financial technology.

GPU Solutions in Healthcare and Life Sciences

  • Healthcare and life sciences also benefit from GPU acceleration, especially in medical imaging and drug discovery. Faster processing of medical images leads to quicker and more accurate diagnoses. When handling unknown diseases, GPUs can be key in simulating biological processes to help researchers develop new treatments and therapies faster. Curious about how GPUs are improving healthcare? Explore their applications in the medical field.

GPU Solutions in Engineering Design

  • Another great application of GPU technology is in engineering design. GPUs are essential for running detailed simulations and rendering complex models. Whether simulating fluid dynamics, structural analysis, or wave propagation, GPUs can provide the computing power needed to perform these tasks quickly and accurately. They can also help engineers iterate designs faster, optimise performance, and reduce time to market. Want to see how GPUs are advancing engineering? Find out more about their impact on design and simulation.

Why Choose TechnoLynx for Your GPU Solutions?

As the demand for high-performance computing grows, why should you choose TechnoLynx for your GPU solutions? Our deep expertise in GPU computing and experience in custom software development and AI consulting make us a strong choice. We customise our solutions to fit your specific needs, whether you're working on 3D graphics rendering, deep learning, or large-scale simulations.

Our skilled engineers use top-tier tools like CUDA, OpenCL, and advanced C++ frameworks to create powerful, scalable, and reliable solutions. By partnering with TechnoLynx, you gain a dedicated team focused on helping your projects succeed. We're here to give you the edge you need in your industry, whether through machine learning consulting, custom software engineering services, or AI consulting.

Client Success Stories and Reviews

Take a look at how TechnoLynx has helped clients achieve great results with our GPU computing solutions.

For example, we worked closely with an SME in the engineering planning field. Their founder wanted to speed up physics simulations using GPUs. We developed a proof-of-concept that improved their current solutions and opened the door to entirely new applications.

Another example is our project with a cryptocurrency-focused spin-off from a tech investment company. They asked us to analyse and optimise a cryptocurrency mining algorithm. We found that the existing GPU implementations were already close to their performance limits, so we suggested alternative approaches and addressed specific performance issues. The client was able to make more informed decisions about their investment.

Our hard work has been reflected in the excellent reviews we have received from our clients on multiple platforms, as well as in being chosen the “Software Consultancy of the Year 2022/23” by the Corporate Live Wire Awards/Magazine.

“They have a seniority beyond their age. The fact they run low-powered PCs to maximise code efficiency speaks plenty about their dedication to their trade and originality in an age where owning a Macbook is confused with IT literacy.” — Alex Farrant, Founder @ Farrant Consulting

TechnoLynx’s Commitment to Excellence and Innovation

Founded in 2019 by Balázs Keszthelyi, TechnoLynx is dedicated to advancing technology with a focus on quality and performance. We deliver exceptional results with expertise in GPU programming, Edge Computing, Generative AI, and more.

We also prioritise ethics and security, making sure all AI solutions meet the highest standards for data privacy, transparency, and fairness. With TechnoLynx, you can trust that your business will advance with innovative and secure AI technologies.

Technical Excellence

Founded in 2019 by Balázs Keszthelyi, co-inventor of more than a dozen patents and contributor to two international standards, we know how to beat the state-of-the-art.

Balázs’ passion for high quality and superior performance sets a high bar, generating value for our clients and growth for our employees.

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