Providing Hardware and software Services for AI

Artificial Intelligence (AI) has become a key technology in the digital transformation era, driving innovation and growth across various sectors. Our AI services leverage advanced technologies like NVIDIA CUDA, AMD ROCm, Intel Habana, PyTorch, TensorFlow, Deep Learning, Keras, and Neural Networks to deliver cutting-edge solutions tailored to your business needs.

NVIDIA CUDA is a parallel computing platform and application programming interface (API) model that leverages the power of NVIDIA GPUs. It provides a direct path for accessing the GPU's virtual instruction set and parallel computational elements, enabling significant increases in computing performance.

AMD ROCm™ software offers a suite of optimizations for AI workloads—from Large Language Models (LLMs), to image / video detection & recognition, life sciences & drug discovery, autonomous driving, robotics, and more—and supports the broader AI software ecosystem including open frameworks, models, and tools. 

oneAPI is a specification that is open and standards-based, supporting multiple architecture types including but not limited to GPU, CPU, and FPGA. 

The Gaudi® platform architecture is purpose-designed for Deep Learning training workloads in data centers. It comprises a fully programmable Tensor Processing Core (TPC) cluster with supporting development tools and libraries. Gaudi’s programmable architecture gives the data scientist flexibility and ease of use to migrate or build models with Habana’s SynapseAI® software stack, reference models, extensive kernel libraries, and documentation.

PyTorch and TensorFlow are the most popular open-source libraries for developing machine learning and deep learning models. PyTorch is known for its dynamic computational graph and efficient memory usage, while TensorFlow is renowned for its robust ecosystem and deployment capabilities. 

Deep Learning, a subset of machine learning, uses neural networks with multiple layers (hence "deep") to model and understand complex patterns in datasets. It's the technology behind innovations like self-driving cars, voice control in consumer devices, and image recognition.

Keras is a high-level neural network API written in Python capable of running on top of TensorFlow, CNTK, or Theano. It allows for easy and fast prototyping and supports convolutional networks, recurrent networks, and combinations of the two.

Neural Networks are computing systems inspired by the human brain's biological neural networks. They are the building blocks of AI, learning to perform tasks by considering examples, generally without task-specific programming.

We offer various AI services, from consulting and Infrastructure to implementation and support. Whether you're looking to automate processes, gain insights from data, or create new AI-powered products, we mach you with the correct hardware and software. We have the expertise and technology to help you succeed.