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The NTS team offers comprehensive deep learning solutions, combining cutting-edge hardware and optimized software to accelerate AI workloads. We leverage NVIDIA GPUs (H100, 2100) and AMD Instinct MI200, MI300 for powerful parallel computing, ensuring fast model training and inference. Intel Xeon Scalable processors provide additional performance for compute-heavy tasks with AI-optimized features like Deep Learning Boost.
Our infrastructure includes high-performance storage solutions from DDN, VAST, WEKA, and BeeGFS, offering scalable, low-latency access to large datasets. Popular frameworks like TensorFlow, PyTorch, and Keras are optimized for CUDA and AMD ROCm GPU acceleration.
Accuracy
Inference
Low Latency
Modelling
Key Features
- Efficient job scheduling with Slurm and PBS Pro.
- Advanced tools like NVIDIA TensorRT and Intel oneAPI for optimized performance.
- Seamless integration of storage solutions with low-latency access.
With these solutions, we ensure your deep learning workloads run efficiently at scale, delivering high-performance AI results that drive innovation and success.