Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
KServe is a robust model inference platform on Kubernetes that emphasizes high scalability and adherence to standards, making it ideal for trusted AI applications. This platform is tailored for scenarios requiring significant scalability and delivers a consistent and efficient inference protocol compatible with various machine learning frameworks. It supports contemporary serverless inference workloads, equipped with autoscaling features that can even scale to zero when utilizing GPU resources. Through the innovative ModelMesh architecture, KServe ensures exceptional scalability, optimized density packing, and smart routing capabilities. Moreover, it offers straightforward and modular deployment options for machine learning in production, encompassing prediction, pre/post-processing, monitoring, and explainability. Advanced deployment strategies, including canary rollouts, experimentation, ensembles, and transformers, can also be implemented. ModelMesh plays a crucial role by dynamically managing the loading and unloading of AI models in memory, achieving a balance between user responsiveness and the computational demands placed on resources. This flexibility allows organizations to adapt their ML serving strategies to meet changing needs efficiently.
Description
E2E modeling that combines Business perspective and subject matter expertise with Data science (Statistical Models +ML + Business context & objectives). This combination is vital to the health and competitive advantage for the BFSI.
• Models created on KuantSol can be used for long periods of times and are stable, optimal, and standardized.
• Submission-ready standardized model documentation for federal regulators
• Executives can easily understand the end model thanks to purpose-built configuration options at each decision step. For example, the top ML/AI vendors offer a few model options as well as selection criteria. While consulting firms may offer more, it would take more time and expertise. KuantSol offers 150+
• KuantSol advanced configuration enables auto model development.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Bloomberg
Yes
Docker
Yes
Gojek
Yes
IBM Cloud
Yes
Kubeflow
Yes
Kubernetes
Yes
NAVER
Yes
NVIDIA DRIVE
Yes
ZenML
Yes
Zillow
Yes
Integrations
Bloomberg
No
Docker
No
Gojek
No
IBM Cloud
No
Kubeflow
No
Kubernetes
No
NAVER
No
NVIDIA DRIVE
No
ZenML
No
Zillow
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
KServe
Website
kserve.github.io/website/latest/
Vendor Details
Company Name
KuantSol
Founded
2021
Country
United States
Website
www.kuantsol.ai
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Financial Risk Management
Compliance Management
Yes
Credit Risk Management
Yes
For Hedge Funds
No
Liquidity Analysis
No
Loan Portfolio Management
Yes
Market Risk Management
Yes
Operational Risk Management
Yes
Portfolio Management
No
Portfolio Modeling
Yes
Risk Analytics Benchmarks
Yes
Stress Tests
Yes
Value At Risk Calculation
Yes
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
Yes
Visualization
Yes