AI Hardware Summit Europe launches in Munich, Germany on 10-11 March 2020, the ecosystem event for AI hardware acceleration in Europe
4.12.2019 10:00:00 EET | Business Wire | Press release
Following three successful events, including two sell-out shows in the US, the AI Hardware Summit is coming to Munich, Germany. The AI Hardware Summit series has previously included luminary keynotes from Dr. John L. Hennessey, Chairman of Alphabet, Lip-Bu Tan, CEO of Cadence Systems and Naveen Rao, CVP & GM of Intel’s AIPG.
March’s event will feature an opening keynote from Olivier Temam, Hardware Engineer at DeepMind tasked with building DeepMind’s hardware infrastructure for Artificial General Intelligence, titled ‘Past Chip Childhood and System Teenage: Why We Need to Build a Mature Ecosystem.’
Given Europe’s strength in automation across industrial, robotics and autonomous vehicles manufacturing, this summit will focus on inference systems in edge computing, connecting these industries through common challenges in systems architecture/engineering.
Between 200-250 attendees are expected to attend, with topics focusing on deploying machine learning at the edge, whole stack optimisation of AI, and the design of autonomous systems.
Key speakers include:
- Olivier Temam – Hardware Engineer, DeepMind
- Cyra Richardson – General Manager, AI & Robotics Incubation, Microsoft
- Uri Weiser – Professor Emeritus, Technion
- Michaela Blott – Distinguished Engineer, Xilinx
- Muralikrishna Sridhar – Head, AI Services for Autonomous Vehicles, Continental Ag
- Geoff Tate – Co-Founder & CEO, Flex Logix
- Luca Benini – Professor of Digital Circuits and Systems, ETH Zurich
- Mike Henry – Co-Founder & CEO, Mythic
- Matthew Mattina – Head of Arm's Machine Learning Research Lab, Arm
- Albert Cohen – Research Scientist, Google
- Orr Danon – CEO, Hailo Technologies
- Eric Flamand – Co-Founder & CTO, GreenWaves Technologies
Similar to other events hosted by Kisaco Research, such as the AI Hardware Summit US, the event is expecting announcements of new AI systems solutions on both the hardware and software side.
You can register for the event at www.aihardwaresummiteu.com, and apply for press/media passes with the details below.
To view this piece of content from cts.businesswire.com, please give your consent at the top of this page.
View source version on businesswire.com: https://www.businesswire.com/news/home/20191203005947/en/
Contact information
Press Contact for AI Hardware Summit Europe:
Finola McMahon
Senior Marketing Manager
FM@kisacoresearch.com
About Business Wire
For more than 50 years, Business Wire has been the global leader in press release distribution and regulatory disclosure.
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
IQM and Zurich Instruments Launch Real-Time Quantum Error Correction Demonstrator with NVIDIA NVQLink16.3.2026 23:24:00 EET | Press release
Today, IQM Quantum Computers and Zurich Instruments announce a joint project to build and operate a real-time quantum error correction (QEC) demonstrator, enabled by the NVIDIA NVQLink platform. This project marks a significant milestone toward scalable and fault-tolerant quantum computing designed for enterprise and datacenter deployment. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260316511715/en/ IQM and Zurich Instruments launch real-time quantum error correction demonstrator with NVIDIA NVQLink As enterprises and public institutions worldwide move from quantum exploration to long-term deployment, the challenge has evolved beyond simply accessing quantum hardware. The focus is now on reliably operating quantum computers, seamlessly integrating them into existing compute infrastructure, and scaling them toward fault tolerance. The announced project directly addresses these needs by focusing on full-system integration f
NetApp Accelerates Momentum in AI Leadership with NVIDIA16.3.2026 22:30:00 EET | Press release
NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced enhancements to its enterprise-grade data platform, enabling customers to remove roadblocks to AI innovation. In addition to supporting the latest innovations from NVIDIA announced at GTC, NetApp is launching NetApp AI Data Engine (AIDE)—a secure, unified AI data platform stack co-engineered with NVIDIA and integrated with the NVIDIA AI Data Platform reference design. A foundational challenge for AI is enabling enterprises to discover, understand, and govern the data they have across their global data estates. If data is AI’s fuel, finding and using the best data is essential to making truly transformative AI. NetApp AIDE helps enterprises solve this need through an automatically created—and continuously updated—global metadata catalog with powerful search capabilities. Critically, the NetApp AIDE metadata catalog goes beyond standard file system metadata and actively analyzes file content to semantica
Lenovo Brings Production-Scale AI to Global Sports: Enhancing Fan Experience, Driving Revenue Growth, Boosting Performance, and Improving Operational Efficiency with NVIDIA16.3.2026 22:30:00 EET | Press release
At NVIDIA GTC today, Lenovo (HKSE: 992) (ADR: LNVGY) announced an expanded multiyear collaboration with NVIDIA to help the global sports industry deploy production-scale AI across mission-critical environments, transforming live data into revenue growth, operational resilience, and real-time decision advantage. The global sports technology market is projected to grow from $23 billion in 2025 to more than $60 billion by 2030. Global sports events represent some of the most complex and demanding operating environments in any industry, combining unprecedented scale, technical sophistication, and public visibility. These events engage billions of viewers worldwide, generate and process petabytes of data in real time, and require highly coordinated, distributed operations across multiple countries, all within a context where reliability, resilience, and uninterrupted performance are non-negotiable. Scaling AI across this ecosystem requires validated infrastructure, domain-trained intelligen
Lattice Joins NVIDIA Halos Ecosystem to Advance Safety for Physical AI with Holoscan Sensor Bridge16.3.2026 22:30:00 EET | Press release
Lattice Semiconductor (NASDAQ: LSCC), the low power programmable leader, today announced it has joined the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. Announced at the NVIDIA GTC 2026, Lattice will engage with NVIDIA and other Halos ecosystem members to build Halos-certified Holoscan Sensor Bridge-based designs for physical AI and to help shape best practices as the industry evolves. “Physical AI is rapidly moving from controlled environments into the real world, where safety, reliability, and trust are paramount,” said Raemin Wang, Vice President, Segment Marketing, Lattice Semiconductor. “Through this collaboration, Lattice looks forward to contributing our expertise in low power FPGAs and award-winning solution stacks to enable scalable, trusted physical AI systems across robotics, industrial automation, and autonomous applications.” NVIDIA Halos is a comprehensive full
Kinaxis Advances Large-Scale Supply Chain Optimization with NVIDIA AI16.3.2026 22:30:00 EET | Press release
Kinaxis® Inc. (TSX: KXS), a global leader in supply chain orchestration, today announced a new milestone in advancing large-scale supply chain optimization within the Kinaxis Maestro™ platform. Maestro already delivers high-performance optimization across complex global supply chains, and Kinaxis is now extending that leadership by leveraging GPU acceleration powered by NVIDIA cuOpt™ and NVIDIA AI infrastructure. As supply chains grow in scale and complexity, planning models must reconcile tens of millions of variables across extended time horizons and multiple planning levels. As model size expands, the number of potential decisions can scale into billions, dramatically increasing computational needs. Organizations are no longer constrained by insight alone. They are constrained by how quickly they can iterate. In testing on a large-scale semiconductor planning model with nearly 50 million decision variables, Kinaxis achieved up to a 12X reduction in total end-to-end calculation time.
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom
