When it comes to a Deep Learning PC, GPUs matter the most. You cannot expect to perform great by deploying an ordinary GPU. Hence, our systems are powered with NVIDIA GeForce GTX 1080 Ti GPUs. To meet your Deep Learning needs in 2018, you can pick from NVIDIA GeForce GTX 1080 Ti 11 GB to 4 * NVIDIA GeForce GTX 1080 Ti 11 GB depending on your work requirements.
AI and Deep Learning involve really complex tasks, and to run important applications like Caffe, Theano, cuDNN, etc. you require high-speed workstations. In addition to a powerful GPU, you also require a fast processor which pre-process data and feed it to the GPUs. A good processor won’t let the GPUs dissipate cycles waiting for this data. You can also choose from 6 to 18 Cores depending on the complexity of your task.
When it comes to AI and Deep Learning tasks, PCI-e lanes of a motherboard also have a significant role. These PCI-e lanes are the data pipes which connect the GPUs and CPU. These lanes can vary from 4x to 16x according to the motherboard. The higher the number of PCI-e lanes, the more will be the throughput. Keeping your requirements in mind, choose an Ant PC that lets you perform your tasks without any glitch.
To run your Deep Learning, AI, and other research applications, you require a RAM in accordance with the GPU memory. You can pick from a 32 GB 2400 MHz DDR4 to 128GB 2400 MHz DDR4 RAM depending upon the intensity of your research work. For a 128GB 2400 MHz DDR4 RAM, our systems have 4 * NVIDIA GeForce GTX 1080 Ti 11 GB GPU. Hence, the selection has to be carefully done.
Fitting a large data set into RAM is just not possible. Hence, you need storage for some data as well. While you perform certain tasks, data will be continually loaded from storage to RAM. While your system has slow storage, cycles waiting for data will be wasted by the GPUs. Our systems are loaded with high-performance SSDs that allow performing your research tasks at a very high speed.
When it comes to Deep Learning performance, the speed of network interface doesn’t actually matter. But, if you are indulged into multi-node distributed training, then the network speed definitely matters! For such intricate tasks, you require at least 40Gbps of speed. The speed may differ from 1Gbps to 10Gbps depending on the complexity of your tasks.
Creating an Artificial Intelligence PC can be a challenging task. But we wholeheartedly accept this challenge and proffer you with only the best. With experts and professionals who have an experience of building high-end workstations for over 10 years, Ant PC proffers you with the best in the industry. If you still want more, you are free to configure your own PC and get what you want! We leave it up to you!
In the contemporary, Artificial Intelligence has become an umbrella term that encompasses everything from the automation of robotic processes to actual robotics. AI is everywhere, right from the world of big data to reshaping the sphere of data businesses. And at Ant PC, we totally discern the importance of AI computing in the present times. Hence, we have created such AI PCs that cater to all your research needs. Whether you are into designing neural networks, developing interesting AI-based apps, or working on TensorFlow, or NVIDIA Cuda; Ant PC Pheidole series is built just for you!
Our responsibilities don’t end just by delivering an Ant PC at your doorstep. We keep you covered throughout by proffering lifetime technical support on every Ant PC your purchase. Whenever you have any issue, feel free to reach us at our toll-free number. We are more than happy to help you!