Cisco at
GPU Technology
Conference …

GTC offers valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, virtual reality, and self-driving cars. GTC Europe is the must-attend event of the year in Europe for developers, data scientists, IT professionals and senior decision makers. The 3-day conference will feature 150+ new sessions on AI and deep learning, self-driving cars, big data analytics, virtual reality, and much more.

Visit Cisco at Stand P02

We will showcase the Cisco GPU-accelerated data center, which powers a wide range of workloads from virtualized 3D graphics applications to big data analytics and deep learning.

For further details about GTC, visit https://www.gputechconf.eu/Home.aspx.

Description: Machine learning and deep learning applications are revolutionizing how we as consumers interact with our compute devices by imbuing them with speech recognition, machine vision, and other perceptual capabilities. We are now seeing new advancements in AI which move from simple pattern recognition and sensory data processing to much deeper semantic processing. These new advancements in essence bridge the gap between machine learning techniques, including commoditized deep learning on SIMD GPUs , and the next generation of specialized distributed-memory MIMD hardware for large-scale graph analysis for symbolic artificial intelligence. In this session we will cover the new capabilities and use cases Cisco is targeting with this new breakthrough technology. In addition, we will discuss the core enabling technical building blocks and projects such as Ben Goertzel’s OpenCog project.

Speaker: Enzo Fenoglio

Enzo Fenoglio is a data scientist with Cisco Systems France working in the Chief Technology & Architecture Office (CTAO) for the Paris Research and Innovation Lab (PIRL) since 2013. Enzo holds a MS in Engineering Physics from the Polytechnic of Turin and has 30+ years of experience in the high-tech industry to deploy algorithms to enable specific business applications in different domains (Avionics, DSP, CV, DTV, NLP, Networking), countries (Italy, UK, US, France), and companies (Alenia Aerospace, Olivetti, Ferrari Race Team, STMicroelectronics, OpenTV, Sky Italia, NDS, Cisco). His main areas of research interest are AI/ML/DL/AGI besides HPC-GPGPU. Enzo is a member of the ACM and has 20+ filed patents on ML/DL.

Cisco will highlight its GPU-accelerated data center with demos showing virtual workstations running on the Cisco UCS and Cisco HyperFlex Systems as well as solutions for accelerated analytics and apps, and deep learning.

Demo Pods:

1 – GPU-Accelerated Virtual Desktops & Apps

See GPU-accelerated Windows 10 virtual desktops run side by side with non-GPU accelerated virtual desktops on Cisco UCS servers. Find out from our technical experts which NVIDIA GPU to use on Cisco infrastructure to achieve the highest user density and best performance for your use case.

2 –Quadro® Virtual DC Workstations

We will also host our partner ebb3 in our stand. They will be demonstrating their innovation in virtualization for 3D software applications, High Performance Virtual Computing (HPVC).

The HPVC enables the power of a high specification graphics workstation to be accessed on-demand, anywhere from any type of device, for an unlimited number of users. While demonstrating the HPVC in the Cisco stand, it will actually be running 600 miles (as the crow flies) away on Cisco UCS infrastructure, while enabling impeccable application delivery to Munich.

3 – GPU-Accelerated Computing

At this pod learn from our experts how you can leverage Cisco’s GPU Accelerated Data Center for AI - deep learning and accelerated analytics

Hardware

• Cisco UCS B200 M5 Blade Server with NVIDIA P6
• Cisco HyperFlex HX240c M4 node with NVIDIA M10
• OSS ExpressBox 3600-AB with NVIDIA P100

To schedule a meeting with our Cisco solutions experts please contact your Cisco account manager or complete the information below and we will work with you to set up a meeting with the right experts.

Register Now – Get 20% off with this code: CISCOGTCEU17

Public Transportation

Public transportation: Travelling from ICM to downtown Munich

From Messestadt West, take the U2 subway line direction Feldmoching to stop Sendlinger Tor. 
Changes: none (direct connection) 
Travel time: approx. 22 minutes

Ticket prices

We recommend purchasing an unlimited day pass (Tageskarte) for €11.

Helpful links

Online timetables for the MVV, the Munich public transportation system.
More information about the MVV Münchner Verkehrs- und Tarifverbund.
Rental cars at Munich Central Station:
The rental car center is located in the central area of Munich Central Station.
You’ll find additional information of the website of the rental center in Munich Central Station.

 

Car

Road signs at the outskirts of town and throughout the entire city indicate the way to Messe München and the ICM (International Congress Center München).

Cars with a navigation system

Depending on which navigation system you have, you’ll find the Messe München along with the ICM in the category “event centers” or “exhibition grounds”, or under the keyword “trade fair”. 
Some navigation systems allow you to select between the center’s East, West, and North entrances. In this case, the entrance you want is West.

Messe München/ICM – International Congress Center München address

Exhibition grounds /ICM 
An der Point 
81829 München 

Parkhaus West 
Paul-Henri-Spaak-Str. 6 
81829 München 

GPS coordinates Messe München/ICM: 
Longitude: 11.695547 
Latitude: 48.134962

The New Munich Trade Fair’s traffic control system will guide you to the nearest parking areas.