Peak
Accelerated Parallel Computing
with NVIDIA Tesla and GPU Compute
Peak delivers the highest possible compute performance into the hands of developers, scientists, and engineers to advance computing enabled discovery and solution of the world's most challenging computational problems.
Puget Systems has over 19 years experience designing and building high quality and high performance PCs. Our emphasis has always been on reliability, high performance, and quiet operation. We take this experience to the HPC sector with our Peak family of workstations and servers. Through in-house testing we do not blindly follow the industry -- we help lead it. We provide the products below as starting points that we feel cover some of the most compelling areas that we can contribute to the HPC community. Do you have a project that needs some serious compute power, and you don't know where to turn? Let us help, it's what we do!
Dr. Donald Kinghorn
Scientific Advisor for Puget Systems
Dr. Kinghorn has a 20+ year history with scientific and high performance computing and holds a BA in Mathematics/Chemistry and a PhD in Theoretical Chemistry. If you are looking for a HPC configuration, check out his HPC Blog.
Peak Single Xeon Tower
CustomizePayments starting at $139/month
A powerful enterprise-class tower developer workstation with support for four NVIDIA GPUs.
Peak Dual Xeon Tower
CustomizePayments starting at $293/month
A powerful enterprise-class tower developer workstation with support for dual NVIDIA Tesla or GPUs.
Peak 4 GPU 1U Server
CustomizePayments starting at $204/month
A powerful, enterprise-class 1U rackmount server with Intel Xeon processors and up to 4 NVIDIA Tesla or GPU cards.
Peak 8 GPU 4U Server
CustomizePayments starting at $379/month
A powerful, enterprise-class 4U rackmount server with dual Intel Xeon processors and up to 8 NVIDIA Tesla or GPU cards.
Design
Minimum noise and maximum performance, reliability and usability. Puget Peak is an evolutionary step from our custom systems experience. Genesis performance post-production, Summit server stability, Serenity silent design, Obsidian reliability and even the diminutive Echo have influenced Peak.
Performance
TeraFLOPS. Using Intel Xeon CPU's and the Intel MKL library, or the well established CUDA platform and libraries, there is tremendous potential for applications leveraging the computing power of both the CPU and the GPU.
Application
Ready for use. Peak systems are installed, configured and tested under load before they ship and will (optionally) arrive with the setup and tools you need to get started. Our CentOS setup will provide a configuration that can be the basis of your working environment.
Part of what makes our cooling both effective and quiet is that we specifically target the hot spots of each system. We place fans only where they are needed and only when they are needed. We then verify the final configuration with extensive testing, full load stress testing, and thermal imaging to ensure excellent cooling.
Example of Puget Systems targeted cooling
Without targeted cooling
With targeted cooling
We know that these PCs are intended for heavy, long duration workloads. We have designed them for long life with 24/7 load, and that is our primary design goal. Through targeted cooling and high quality thermal solutions, we are able to achieve an excellent low noise level while maintaining the cooling necessary for long term high load. Even better, since we are implementing a custom cooling plan for each order, if you have a preference of whether you'd like us to tune more aggressively in either direction (towards even quieter operation, or more extreme cooling), all you have to do is let us know!
Recommended Reading
How To Use MKL with AMD Ryzen and Threadripper CPU's (Effectively) for Python Numpy (And Other Applications)
Written on 11/27/2019 by Dr Donald KinghornIn this post I'm going to show you a simple way to significantly speedup Python numpy compute performance on AMD CPU's when using Anaconda Python.
AMD Threadripper 3970x Compute Performance Linpack and NAMD
Written on 11/25/2019 by Dr Donald KinghornAMD Threadripper 3970x 32-core! ...The, third new AMD processor I've had the pleasure of trying recently. I'm running it through the same double precision floating point performance tests as the recently tested Ryzen processors, Linpack and NAMD.
AMD Ryzen 3950x Compute Performance Linpack and NAMD
Written on 11/14/2019 by Dr Donald KinghornThe, much anticipated, AMD Ryzen 3950x 16-core processor is out! As always the first thing I wanted know was the double precision floating point performance. My two favorite applications for a "first look" at a new CPU are Linpack and NAMD.
Workstation Setup for Docker with the New NVIDIA Container Toolkit (nvidia-docker2 is deprecated)
Written on 09/13/2019 by Dr Donald KinghornIt's time for a "Docker with NVIDIA GPU support" update. This post will guide you through a useful Workstation setup (including User-name-spaces and performance tuning) with the new versions of Docker and the NVIDIA GPU container toolkit.
AMD Ryzen 3900X vs Intel Xeon 2175W Python numpy - MKL vs OpenBLAS
Written on 08/20/2019 by Dr Donald KinghornIn this post I've done more testing with Ryzen 3900X looking at the effect of BLAS libraries on a simple but computationally demanding problem with Python numpy. The results may surprise you! I start with a little bit of history of Intel vs AMD performance to give you what may be a new perspective on the issue.
2 x RTX2070 Super with NVLINK TensorFlow Performance Comparison
Written on 08/14/2019 by Dr Donald KinghornThis is a short post showing a performance comparison with the RTX2070 Super and several GPU configurations from recent testing. The comparison is with TensorFlow running a ResNet-50 and Big-LSTM benchmark.
AMD 3900X (Brief) Compute Performance Linpack and NAMD
Written on 07/26/2019 by Dr Donald KinghornI was able to spend a little time with an AMD Ryzen 3900X. Of course the first thing I wanted know was the double precision floating point performance. My two favorite applications for a "first look" at a new processor are Linpack and NAMD. The Ryzen 3900X is a pretty impressive processor!
NVIDIA Docker2 with OpenGL and X Display Output
Written on 07/11/2019 by Dr Donald KinghornDocker is a great Workstation tool. It is mostly used for command-line application or servers but, ... What if you want to run an application in a container, AND, use an X Window GUI with it? What if you are doing development work with CUDA and are including OpenGL graphic visualization along with it? You CAN do that!
Install TensorFlow 2 beta1 (GPU) on Windows 10 and Linux with Anaconda Python (no CUDA install needed)
Written on 06/26/2019 by Dr Donald KinghornTensorFlow 2.0.0-beta1 is available now and ready for testing. What if you want to try it but don't want to mess with doing an NVIDIA CUDA install on your system. The official TensorFlow install documentations has you do that, but it's really not necessary.
How To Run Remote Jupyter Notebooks with SSH on Windows 10
Written on 06/11/2019 by Dr Donald KinghornBeing able to run Jupyter Notebooks on remote systems adds tremendously to the versatility of your workflow. In this post I will show a simple way to do this by taking advantage of some nifty features of secure shell (ssh). What I'll do is mostly OS independent but I am putting an emphasis on Windows 10 since many people are not familiar with tools like ssh on that OS.
Monthly Payment Options
We know that the purchase of a PC can be a large investment! Puget Systems is pleased to offer two options receive the best hardware for your workload with low, predictable, monthly payments:
Hardware and software never stops advancing, and the right PC for your workflow can quickly change over time. That's why Puget Systems has partnered with LiftForward to redefine ownership with business leasing, providing a 24-month subscription option. It's an easy way to get the best hardware today, while allowing you to upgrade to a new PC every two years! When your subscription is finished, your hardware is returned and is repurposed to start a new life in schools, developing countries, and communities in need. You then can repeat the process with brand new hardware, so you are always up to date.
Puget Systems has also partnered with Affirm to provide consumer financing, allowing you to make your purchase via easy monthly payments over 24 months. Enrolling is quick and easy. Enter a few pieces of information for a real-time decision. Checking your eligibility won't affect your credit score. Affirm has no hidden fees. You know up front exactly what you'll owe, with no hidden costs and no surprises.