Webinar
Deploying Machine Intelligence at Scale
Join our webinar to explore the challenges and rewards of deploying machine intelligence compute and storage at scale.
AI innovators need simple yet powerful infrastructure in place to rapidly take ideas from experimentation to production and deployment at scale. They need an end-to-end infrastructure that provides a performant platform that is predictable, easy to set up and simple to consume.
Graphcore and Pure Storage have collaborated to bring intelligent compute and storage together in a converged infrastructure solution to serve machine learning workloads of all sizes while maintaining simplicity and performance at any scale.
Join Graphcore’s Director of Product Marketing Roberto Mijat and Pure Storage’s Principal Data Architect Rich Fenton for an exploration of the challenges and rewards of optimally configuring and deploying best in class compute and storage in your data centre.
Key takeaways:
Meet the speaker
Roberto Mijat
Roberto is Director of Product Marketing at Graphcore. He brings over 15 years of experience in the semiconductor industry, with a particular focus on taking new technologies to market and developing complete solutions. In his previous role at Arm, Roberto held several software and hardware product management leadership roles as well as directing various initiatives around machine learning. At Graphcore, amongst other responsibilities, Roberto collaborates with storage vendors to promote optimized solutions for the AI market built around Graphcore’s IPU based systems.
Meet the speaker
Rich Fenton
Rich started his career as a lead customer consultant for SAN and Backup for a US-based investment bank in London. Moving into prominent lead-technical positions during his 25 year career in the Storage Industry, Rich has delivered key consultancy to Financial Services, Public Sector, Media and Life Sciences organisations for Data Management and Data Protection. Rich is currently Principal Data Architect for Pure Storage.