Leverage the latest in GPUs from NVIDIA, including the NVIDIA RTX 6000 Ada, NVIDIA H100 and more.
Our systems come pre-loaded with TensorFlow, PyTorch, Keras, Caffe, RAPIDS, Docker, Anaconda, MXnet, and more upon request.
We value your peace of mind so you can focus on what matters most. Every Exxact system is backed by our 3-year warranty and support.
The universal system for all AI workloads, offering unprecedented compute density, performance, and flexibility in the world’s first portfolio of purpose-built deep learning systems! Leverage over 32 petaFLOPS of AI performance with NVIDIA DGX, the gold standard of AI computing infrastructure.
Inquire about our EDU discounts.
Our deep learning systems ship with the latest AI development tools installed in a way that best suits your development needs, whether you prefer containerized environments or natively installed frameworks. Whether it's image recognition, data annotation, LLM training, or whatever your AI project entails, Exxact provides an EMLI environment for every developer.
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.
With deep neural networks becoming more complex, training times have increased dramatically, resulting in lower productivity and higher costs. Exxact's deep learning infrastructure technology featuring NVIDIA GPUs significantly accelerates AI training, resulting in deeper insights in less time, significant cost savings, and faster time to ROI.
ExploreData center managers must make tradeoffs between performance and efficiency. A single inference server from Exxact can replace multiple commodity CPU servers for deep learning inference applications and services, reducing energy requirements and delivering both acquisition and operational cost savings.
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