Top Tweets for #kfserving
⏩#100DaysOfMLOps /5
#KFServing enables serverless inferencing on @kubernetesio and provides performant, high abstraction interfaces for common #MachineLearning frameworks like @TensorFlow, @XGBoostProject etc. to solve production model serving use cases
https://t.co/kfSW7kneVt
In light of the new graduation Kserve veteran and second-time meetup guest, @theofpa has gone deep on what the hell is going on with the artist formerly known as #KFserving co-hosted by @Al_Grigor.
Catch this week's meetup here https://t.co/s8krVYQ9L0!
#KServe, the cloud-native multi-framework #ML model serving tool for serverless inference on @Kubernetesio (fka #KFServing), is now an independent #opensource project. As the first step in this process, it's been moved to its own organization on #GitHub.
https://t.co/wGMt3ccju0
What a way to finish the weekend.. I've got a full e2e #machinelearning #pipeline predicting x-ray pneunomia that use @TensorFlow #kfserving @MLflow @giteaio all glue togheter using #fuseml project (https://t.co/7OGQnYTMyJ) #mlops /cc @svpino @SaiyamPathak next a full article
Kfserving: Model serving at Kubeflow - serverless inferencing on Kubernetes that provides performant, high abstraction interfaces for common #machinelearning frameworks #TensorFlow #XGBoost #scikitlearn #PyTorch #ONNX
#kubernetes #kubeflow #kfserving
https://t.co/UAn4Gx61uy
My talk with @Javierdlrm at @Data_AI_Summit on Hopsworks feature store and #kfserving is now on youtube https://t.co/IXMyYJWCCC
📣 Starting in 1 hour! Join @Javierdlrm and @jim_dowling to learn how to log prediction requests on #KFServing in #Kafka and processing them with #Spark before storing them in the Feature Store for analysis. #featurestore https://t.co/UIyJUQIhaw
@jim_dowling and I will be talking about enriching prediction requests and monitoring ML models in real-time using @Hopsworks Feature Store, #KFServing and #Spark Streaming. Join us at 20:30pm CEST #DataAISummit
Join @jim_dowling and @Javierdlrm at @Data_AI_Summit to learn about serving/monitoring models with @Kubeflow #KFserving, #FeatureStore and #Spark Streaming. #SparkAISummit https://t.co/5q37SNakmE
Join @jim_dowling and @Javierdlrm at @Data_AI_Summit to learn about serving/monitoring models with @Kubeflow #KFserving, #FeatureStore and #Spark Streaming. #SparkAISummit https://t.co/5q37SNakmE
Join @Javierdlrm at @Data_AI_Summit to learn about #KFServing, model monitoring with @ApacheSpark and #Hopsworks #FeatureStore. Organized by @databricks
https://t.co/UnsRo7etT2
Mit Hilfe von #KFServing #MachineLearning Modelle als Function as a Service ausrollen: Felix Exel stellt euch das am 28. April 2021 auf der @M3_Konferenz vor! https://t.co/Cyb8SXwBhb
🐳 Kubeflow is an open source platform developed by google to contain the machine learning model development life cycle.
https://t.co/MiW1bgqQ0o
#kubeflow #kubernetes #machinelearning #lifecycle #deeplearning #deployment #mlops #kfserving
new toy with #kfserving
During #KubeCon + #CloudNativeCon (3:45 PM ET), software engineer Dan Sun & @nvidia's David Goodwin examine how to address scalability, latency & throughput by accelerating & autoscaling #DeepLearning #Inference on #GPUs w/ #KFServing (part of @kubeflow)
https://t.co/S6x55wFOUh
Great chat here between @Dpbrinkm and the biggest fan of Kubeflow, @theofpa about Hands-on Serving Models using #KFserving! Check out the whole convo here https://t.co/1gbAbuZMxz & https://t.co/oDvIhAmbUD
#MLOps #MachineLearning #Prosus
Really enjoying the virtual format of this year's #KubeCon & #CloudNativeCon. Day 1 had us listening to #Bloomberg @business talking about #KFServing in production. What's next on your agenda??
Sr. software engineer Yuzhui Liu joins Seldon CTO Clive Cox for a joint presentation on "Serverless #MachineLearning Inference with #KFServing" during the @CloudNativeFdn's Serverless Practitioners Summit Europe 2020 today (15:10-15:40 CEST)
https://t.co/K4enr0oaJF
#ML #kubeflow
We're already at EP9 of @Kubeflow 101 and we're introducing #KFserving🍽 The fun part where you deploy your model & start predictions! KFServing gives you standardized serving across frameworks, and you can even do canary rollouts.
👉https://t.co/4TVEE9WWSN
At #ICML2020 this week, our #AI researchers & #ML quants are publishing research about improvements to #neuralnetworks, ML model serving, and the learning/modeling of probability distributions.
Read more about their research: https://t.co/yCJKLsMLvC
#neuralnets #KFServing #quant
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