GPX GPU-Optimized Servers

We also offer custom servers tailored to your specific requirements, such as unique GPU configurations or form factors. Our team of experts can help you design the perfect server for your needs.

Our GPU-accelerated servers are designed with a rackmount form factor, making them easy to install and organize in data centers. With 24/7 technical support available, you can rest assured that your server will be up and running smoothly.

No matter what your needs are, our GPU-accelerated servers are designed to provide the power, reliability, and scalability you need for high-performance computing and machine learning. Browse our selection today and find the perfect NVIDIA GPU server for your needs. If you have any questions, our team of experts is available to assist you.

GPX GPU-Optimized Server Highlights:

• GPX servers from Thinkmate are powered by the latest NVIDIA GPUs, including the NVIDIA A100, NVIDIA T4, and more.
• Our GPX servers support various high-speed interconnects, including InfiniBand, 100/200/400 Gigabit Ethernet, and NVLink.
• Choose from a variety of CPU options, including Intel Xeon and AMD EPYC processors.
• Our GPX servers come in a range of form factors to meet your specific needs, including 1U, 2U, and 4U rackmount, and tower configurations.
• Up to 10GPUs per system for density and space-saving in data centers

Ideal Use Cases in AI:

Thinkmate's GPX servers are ideal for a wide range of AI workloads, including:

• Computer Vision: Our servers can process high-resolution images and videos in real-time, enabling applications in facial recognition, autonomous vehicles, and security systems.
• Natural Language Processing: Our servers can analyze and process human language at scale, enabling applications in chatbots, virtual assistants, and sentiment analysis.
• Predictive Analytics: Our servers can help businesses make informed decisions based on data, enabling applications in fraud detection, risk management, and customer retention.
• Deep Learning: Our servers can train deep neural networks quickly and efficiently, enabling applications in recommendation systems, speech recognition, and image classification.