5 ms·
We built all of our machine learning backend in D at AdRoll. Some examples: - learning of large-scale classifiers and regressors using custom optimizers - rea
by 99decisionstr 11y ago
We built all of our machine learning backend in D at AdRoll. Some examples:
- learning of large-scale classifiers and regressors using custom optimizers
- real-time pricing of billions of ads a day using these models on ad exchanges. <.5ms latency to parse complex bid requests and compute sparse and simd dense dot-products
- a real-time event processing system that hits DynamoDB with ~4.5K json queries per sec on a single node
We literally have D systems deployed on hundreds of ec2 instances as we speak and responsible for mission critical tasks of a >100$M run rate company.
D is ready for prime time and works at scale.
- martin_ 11y agoThanks for sharing!
- troutwine 11y agoAnd we embed D in our large-scale Erlang deployments, too. It's a fun time.
- shawn-butler 11y ago>> D is ready for prime time Not on ARM. I will try again but last time I tried setting up a toolchain (~6 months ago) met with headache, pain, and eventually heartache.