Top Tweets for #ModelServer
Model Server: The Critical Building Block of MLOps https://t.co/9N3Jki6r2a @janakiramm #MLOps #ModelServer
We're BACK! #Eventing with 7 Stone Management / 7 Stone Models
#EventStaffing #EventPros #ModelBartender #ModelServer
#7StoneManagement #7StoneModels #TopThatTable #WeAlwaysTopThat

We're BACK! #Eventing with 7 Stone Management / 7 Stone Models
#EventStaffing #EventPros #ModelBartender #ModelServer
#7StoneManagement #7StoneModels #TopThatTable #WeAlwaysTopThat

"Streaming #MachineLearning with #Kafka-native Model Deployment"
=> #ApacheKafka is used in various areas of ML infrastructures, including model training, scoring, monitoring. In the meantime, some #modelserver like #Seldon also pr…https://t.co/EwIhohmcJX https://t.co/clCjEMhbwB
“Streaming #MachineLearning with #Kafka-native #Model #Deployment”
=> #Architectures and #tradeoffs for #realtime #scoring within #ApacheKafka #ML infrastructures...
#kubernetes #cloudnative #opensource #cloud #hybrid #seldon #modelserver https://t.co/clCjELZA81
Team @7stonedetroit / #7StoneModels for a luxury private event on Orchard Lake. #7StoneModels #7StoneManagement #MichiganModel #DetroitModel #Eventing #EventStaffing #EventPros #ModelBartender #ModelServer #EventProfs… https://t.co/r0t1AKFQJb
The lovely @7stonedetroit #7StoneModels for an m1concourse event. 💣💣💣💣
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#7StoneManagement #7StoneModels #EventStaffing #Eventing #EventPros #EventProfs #EventPlanning #ModelBartender #ModelServer… https://t.co/kBKfgn0VfQ
We support MLeap model format which allows us to execute models trained for Spark, Scikit learn and Tensorflow -> https://t.co/bE5xNAscW8
#MLeap #Spark #scikitlearn #Tensorflow #DataLake #ModelServing #DataScience #ModelServer
In #Lentiq, multiple instances of the #ModelServer are started at the same time and requests are #loadbalanced between them. You can have hundreds of #instances running for unlimited req/s! Take a closer look at what you can acheive with our #DataLake on https://t.co/bE5xNAscW8
Most "#serverless" model serving services out there need to boot up their #instances before they can deliver a response to an #API call if the API calls are not frequent enough to keep it alive. With us, there is no such thing: https://t.co/BgK4YW3fUK #ModelServer #Scalability

RT @KirkDBorne
Multiple instances of the #ModelServer are started at the same time and #requests are #loadbalanced between them. #loadbalancing #highperformance #modelserving
With #Lentiq, you can have hundreds of instances running for unlimited requests: https://t.co/bE5xNAscW8
Model Servers transform your #DataScience into your very own #AI-as-a-Service — Inference Endpoints can provide a real-time prediction API to external applications: https://t.co/B61BbAtl7m by @LentiqInc
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#BigData #MachineLearning #DataOps #DataLake #DataPools #Lentiq #APIs

Join Cosmin Pintoiu, #SolutionArchitect at Lentiq, and Costina Bâtica, #SoftwareDeveloper at Lentiq, at #Bucharest #BigData #Meetup this afternoon for a talk on #productionizing #MachineLearning. See you there!
https://t.co/7aIMYWMaki
#ModelServer #Jupyter #Notebooks #MLworkflow
In Lentiq, multiple instances of the #ModelServer are started at the same time and requests are #loadbalanced between them. You can have hundreds of #instances running for unlimited req/s. https://t.co/BgK4YW3fUK #DataLake #LoadBalancing #LoadBalancer #DataScience #DataPool

Real-time #PredictiveAnalytics that uses current customer browsing history makes use of the new @LentiqInc model-server system: https://t.co/B61BbAtl7m
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#InferencePipeline #Agile #DataLake #AI #MachineLearning #BigData #DataScience #DataOps #CX #RecSys #Lentiq #ModelServer

RT @KirkDBorne
In #Lentiq multiple instances of the #ModelServer are started at the same time and requests are #loadbalanced between them. You can have hundreds of #instances running for unlimited req/s: https://t.co/bE5xNAscW8
Real-time #PredictiveAnalytics that uses current customer browsing history makes use of the new @LentiqInc model-server system: https://t.co/CaF8oIDDsc
————
#InferencePipeline #Agile #Scalable #ModelServer #DataLake #AI #MachineLearning #BigData #DataScience #DataOps #CX #RecSys

Real-time #PredictiveAnalytics that uses current customer browsing history makes use of the new @LentiqInc model-server system: https://t.co/CaF8oIDDsc
————
#InferencePipeline #Agile #Scalable #ModelServer #DataLake #AI #MachineLearning #BigData #DataScience #DataOps #CX #RecSys

Predict in #realtime based on current browsing history by making use of our model #server system: https://t.co/bE5xNAscW8
#InferencePipeline #InferenceEndpoint #Scalable #ModelServer #DataLake #MachineLearning #DataScience
RT @KirkDBorne
Check out our new updates on #Lentiq 🥳 https://t.co/P6OwqAK171
- #workflow manager
- reusable #code blocks
- #model server
#DataScience #Analytics #MachineLearning #ML #WorkflowManager #ReusableCodeBlocks #ModelServer #Data #DataLake #DataAnalytics
New from @LentiqInc >> #BigData Analytics & ML workflow support, reusable code blocks, and model server in their DLaaS (DataLake-as-a-Service): https://t.co/kzKnsBdxBl
#MachineLearning #DataScience #DataOps #DataPools

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