Drastically improve TensorFlow and model training performance.
QUAD is our most powerful workstation. And our most popular machine. It's very quiet despite its immense GPU power.
If you’re part of a research group, the QUAD's power allows multiple researchers to work together simultaneously. This can be critical to your deep learning productivity.
Need even more power? The BLADE is our enterprise workstation with up to 128GB GPU and 512GB RAM.
QUAD is our four GPU workstation custom tailored for deep learning research and engineering teams. Four NVIDIA GeForce GPUs lets your team iterate and deliver results four times faster than a single GPU.
It takes a massive amount of computing performance to train the sophisticated deep neural networks that power new applications in the sciences and financial markets. Training can take days to weeks on even the fastest supercomputers. With GPU acceleration, neural net training is 10-20 times faster than with CPUs. That means training is reduced from days or even weeks to just hours. This lets researchers and data scientists build larger, more sophisticated neural nets.
In general, we recommend that you have at least as much system RAM as you do GPU RAM. Thus, with a 4 GPU setup we recommend 64GB and with an 8 GPU setup we recommend 128GB.
No, the 1080Ti is only 8% slower but is half the price. On a price / performance basis the 1080Ti is the best GPU for Deep Learning.
We build deep learning machines for researchers and corporations.
Our salespeople are engineers. When you chat with us, there's no sales talk. We're a small team of experts who take pride in our machines.
Call us. Tell us what you're working on, and we'll talk you through your options.
Ask about our support: If a hardware component fails, we understand your machine must be fixed immediately. That’s why we offer up to three years of on-site support. If something goes wrong, we'll have an expert fix it.