Fujitsu Adds Deep Learning Capabilities to Workstations and Servers
- Fujitsu’s high-performance PRIMERGY servers and CELSIUS workstations power Deep Learning applications in offices and data centers
- Latest high-end CELSIUS workstations support the world’s most advanced visual computing platform, NVIDIA® Quadro® GV100
- Extreme memory capacity, scalability and performance will drive Artificial Intelligence and Machine Learning innovation in a wide range of application areas
Representing a significant increase in computing performance, Fujitsu server PRIMERGY with the latest NVIDIA Tesla® V100 Graphics processing Unit (GPU) and CELSIUS workstations featuring the new NVIDIA Quadro GV100 card at their core can deliver extraordinary speed and scalability1
. They are the ideal choice for demanding applications that rely on processing huge amounts of raw data, and by including these advanced visual computing capabilities across its workstation and server lines, Fujitsu can provide Deep Learning capabilities for desktops and data centers.
The new x86 PRIMERGY RX2540 M42
and PRIMERGY CX2570 M43
servers as well as the datacenter-optimized CELSIUS C740
rack workstation, CELSIUS R9704
and IF award winner CELSIUS M7704
workstations deliver native support for the new generation of Volta-powered NVIDIA GPUs. Enhanced processing capabilities open up further opportunities for advanced AI, Machine Learning and Deep Learning applications, in sectors including healthcare and life sciences, automotive, financial services, science, and manufacturing.
Dr Joseph Reger, Fujitsu Fellow and CTO, EMEIA, Fujitsu says: “Artificial Intelligence, Machine Learning and Deep Learning are key technologies for the digital age, and enable previously unknown levels of data insight. Deep learning allows us to build applications that can learn much like humans do. This inspires some of the most exciting innovations – such as preventing diseases, predicting hurricanes, building autonomous cars and enabling smart cities. Our new servers and workstations make enormous leaps in processing power available to our customers for the first time – enabling support for new applications and heralding a new era of high-performance computing and enterprise intelligence."
Bob Pette, Vice President of professional visualization, NVIDIA says: “Immense computing power is required to process exponentially growing amounts of data. By partnering with Fujitsu, we are giving customers access to state-of-the-art visual computing platforms that represent an enormous leap forward in pushing processing performance limits.”
Pricing and availability
The PRIMERGY x86 Servers RX2540 M4 and CX2570 M4 as well as the Workstations CELSIUS C740, CELSIUS R970 and CELSIUS M770 with native NVIDIA Volta support are available immediately5
.Pricing and availability may vary by region.
Notes to editors
1 Through the 5120 CUDA Cores and additional 640 Tensor Cores for optimizing Machine Learning and Deep Learning computing. The NVIDIA Quadro GV100 card delivers up to 30% faster graphics performance and up to 62% faster render performance.
2 The PRIMERGY RX2540 M4 2U dual-socket rack server can be equipped with two NVIDIA Tesla V100 GPUs for PCIe accelerators. Native support for the NVIDIA GPUs is via direct connection to the mainboard to guarantee the highest possible level of system performance, with more than 100 Teraflops per second.
3 The PRIMERGY CX2570 M4 dual-socket scale-out server can be equipped with either two NVIDIA Tesla V100 PCIe based GPUs or four NVIDIA Tesla V100 SXM2 based GPUs including Liquid Cooling. Native support for the NVIDIA GPUs is via direct connection to the mainboard to guarantee the highest possible level of system performance.
4 The CELSIUS R970 and CELSIUS M770 workstations each support up to two NVIDIA Quadro GV100 cards with NVLink bridge.
5 Restrictions may apply.
Fujitsu PRIMERGY servers and CELSIUS workstations with NVIDIA Volta units support the widely-used Deep Learning frameworks such as Caffe, CNTK, TensorFlow, Theano and Torch.
Machine Learning is the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something. Deep Learning is a technique for implementing Machine Learning using Artificial Neural Networks, which are inspired by an understanding of the biology of human brains that can learn from training.
Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 155,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE: 6702) reported consolidated revenues of 4.5 trillion yen (US $40 billion) for the fiscal year ended March 31, 2017. For more information, please see http://www.fujitsu.com.
About Fujitsu EMEIA
Fujitsu promotes a Human Centric Intelligent Society, in which innovation is driven by the integration of people, information and infrastructure. In the Europe, Middle East, Africa and India region (EMEIA), our 28,000-strong workforce is committed to Digital Co-creation, blending business expertise with digital technology and creating new value with ecosystem partners and customers. We enable our customers to digitally transform with connected technology services, focused on Artificial Intelligence, the Internet of Things, and Cloud - all underpinned by Security. For more information, please visit http://www.fujitsu.com/fts/about/
All other company or product names mentioned herein are trademarks or registered trademarks of their respective owners. Information provided in this press release is accurate at time of publication and is subject to change without advance notice.
Date: 27 March, 2018