Wherecamp Navigation Conference 2015 - The state of the OSRM machine

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WhereCampBerlin

Johan Uhle and Daniel Hofmann from mapbox

Technology

Daniel Hofmann
Johan Uhle
hofman@mapbox.com
johan@mapbox.com
The State of OSRM

… but loading other map data is possible as well (if transformed to OSM schema)

r3.4xlarge (16 CPUs, 122 GB RAM)
- car: 6 hours
- bike: 15 hours
- walk: 23 hours
Process Query

Mapbox Happy Hour
Tonight 20:00
Eschenbräu
Daniel Hofmann
Johan Uhle
{hofmann|johan}@mapbox.com

The State of OSRM
Daniel Hofmann
Johan Uhle @freenerd
{hofmann|johan}@mapbox.com

As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

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