It’s another brief intro today because I’m on an early morning flight to TiEcon in San Jose
, where I’ll be moderating a panel on software-defined infrastructure, containers, microservices, etc. If you’re at the show and want to chat, drop me a line or just come find me.
But here are three items from yesterday that you probably don’t want to miss:
DeepMap raised $32 million for its new take on mapping for autonomous cars (DeepMap):
These guys are taking what they’re calling a “full stack” approach to mapping for autonomous vehicles, including utilizing data from fleet vehicles and providing regular, localized updates. The founding team’s resumes include Google, Apple, Carnegie Mellon, Baidu and more, so they have some chops in this space. Accel led DeepMap’s series A round, along with Andreessen Horowitz and GSR Ventures out of China.
Fastdata raised $1.5 million for GPU-powered stream processing (InsideHPC):
Not surprisingly, Nvidia—which has been investing pretty heavily lately—led this seed round. It’s smart for Nvidia to seed the industry with as many companies as possible to make GPU processing as ubiquitous as possible. Advances in chips optimized for AI could limit the utility of GPUs on the edge, but there’s still a lot of opportunity for someone to own stream processing inside the data center. (GPU-powered database startup MapD has making some noise lately, too; I touch on it in this issue
Shazam moved its GPU farm to Google’s cloud (Shazam):
This is a good explanation from Shazam on how it uses GPUs to power its music-recognition service, and why and how it moved its seemingly sizable GPU infrastructure to Google Cloud. The popularity of cloud-hosted GPUs, even for non-AI workloads, has to have Nvidia feeling pretty optimistic (although, like I said above, it shouldn’t take the opportunity to rest on its laurels). And although Google has a long road to catch AWS, its seeming ability to win greenfield cloud deployments (of which there are many) has to have it feeling pretty confident.