October 29, 2018 Update: Due to the overwhelming success of this promotion, we are pleased to announce an extention to this current promotion, as well as an increase of the discount amount for the Volta-based Tesla V100!
The discounts are now as follows:
Tesla V100 Servers:
- 32GB: $2,250 off each card (Part# 900-2G500-0010-000)
- 16GB: $2,000 off each card (Part# 900-2G500-0000-000)
For your convenience, we have put together this chart to show you all Tesla GPUs and their prices for comparison:
|Tesla GPU||Price*||Release Date|
|Tesla K80 24GB||$4,599||November 2014|
|Tesla M4||$1,599||November 2015|
|Tesla M40 12GB||$4,499||November 2015|
|Tesla M40 24GB||$5,099||November 2015|
|Tesla M10 32GB||$2,799||May 2016|
|Tesla P100 12GB||$4,999||June 2016|
|Tesla P100 16GB||$6,199||June 2016|
|Tesla P4 8GB||$2,049||September 2016|
|Tesla P40 24GB||$6,189||September 2016|
|Tesla V100 16GB||$8,699||May 2017|
Institutional/Education customers are a beloved segment of our user base here at Thinkmate. Using advanced GPUs, these are the people working — sometimes late into the night — to create solutions to some of the world’s toughest challenges, like curing diseases and creating artificial intelligence.
But many of these customers don’t have it easy. Many are provided with limited funding or budgets, preventing some great ideas from even getting off the ground.
We are constantly thinking about creative ways to make our systems more accessible to EDU customers. We’ve had tremendous success when we were the first to market server systems with support for consumer-grade Geforce GTX and Titan X cards. However, while that has worked fine as an economical introduction to GPU computing, we did not have any EDU-specific offers for the cards actually dedicated to GPU computing: Tesla.
With pressure to deliver their work more intense than ever, serious researchers demand the highest performance and reliability. They need datacenter-grade computing and direct support to overcome technical or operational problems.
Today, we’re providing that. We are announcing substantial discounts for latest-generation Tesla cards based on the Pascal architecture — Providing up to a whopping $1,500 discount per card. These discounts are available immediately.
Currently, the discounts apply to Tesla P40 and P100 PCIe cards, when configured as part of any compatible Thinkmate system.
Yes, the discount is per card. With no limits. That’s the kind of fine print that almost deserves to be a headline.
We are not announcing an end date for this offer yet, but if you or anyone you know is in the market for these systems, we recommend taking action as soon as you can. Don't forget to share with your colleagues!
Welcome to datacenter-grade computing
A Thinkmate sales engineer needs to manually apply these discounts as they will not appear on the Thinkmate configurator. You can browse and configure systems normally and use the Submit for Review button in the configurator bar. This will get forwarded to a Thinkmate sales engineer who then will be able to apply any discounts. You can also call us at 1-800-371-1212 and we’ll help you put together a system if you need some direction. We might even be able to get additional discounts that are only available to EDU customers.
This offer is open to:
- Students or employees with .edu or .ac email addresses
- State or local government-sanctioned agencies that purchase on behalf of schools
See specific eligibility details at the end of this article.
We work hard to create the most modern, informative and complete system in the industry, and we’ve made it easy for you to find and configure a server compatible with the Tesla card you plan to use.NVIDIA Tesla P100 Servers
A qualified Educational Institution for this promotion is defined as:
Additional Education Pricing Program Terms:
Thinkmate reserves the right to admit or deny any party requesting to participate in this program.
Thinkmate reserves the right to modify the terms of this offer at any time without notice.
The Tesla P100 is a computing accelerator based on the Pascal architecture, launched late 2016. The P100 was designed to excel in mixed-workload HPC applications.
|GPU Architecture||NVIDIA Pascal|
|NVIDIA CUDA® Cores||3584|
|Double-Precision Performance||4.7 TeraFLOPS|
|Single-Precision Performance||9.3 TeraFLOPS|
|Half-Precision Performance||18.7 TeraFLOPS|
(Brand new product)
|Sucessor||Not yet announced|
|System Interface||PCIe Gen3|
|Max Power Consumption||250W|
|Compute APIs||CUDA, DirectCompute, OpenCL™,OpenACC|