NVIDIA GPUs now work with Arm processors, Magnum open source I/O accelerates data workloads for AI
NVIDIA expands its ecosystem, flexes its software muscle, and takes a bet on new processors, workloads, and use cases. The developments paint a new picture in the AI chip race in the cloud and the edge.
Read More →Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that
Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure
Read More →The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019
How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different. What is different about knowledge graphs is that they […]
Read More →Graph for the mass market: Neo4j launches Aura on Google Cloud
Neo4j just launched its cloud offering, which it says will make graph mainstream. We discuss the offering with CEO Emil Eifrem, and take a look at where the graph market is right now.
Read More →Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may be your AI that drives them. AI = data + compute, and you want your compute to be as close to your data as possible. Enter edge computing.
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