Audience

Developers and professionals searching for a model inference platform on Kubernetes

About KServe

Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, KServe offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

KServe
kserve.github.io/website/latest/

Videos and Screen Captures

KServe Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

KServe Frequently Asked Questions

Q: What kinds of users and organization types does KServe work with?
Q: What languages does KServe support in their product?
Q: What other applications or services does KServe integrate with?
Q: Does KServe have an API?
Q: What type of training does KServe provide?
Q: How much does KServe cost?

KServe Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

KServe Additional Categories