Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
F5 Aspen Mesh enables organizations to enhance the performance of their modern application environments by utilizing the capabilities of their service mesh technology. As a part of F5, Aspen Mesh is dedicated to providing high-quality, enterprise-level solutions that improve the efficiency of contemporary app ecosystems. Accelerate the development of innovative and distinguishing features through the use of microservices, allowing for scalability and reliability. This platform not only minimizes the risk of downtime but also enriches the overall customer experience. For businesses transitioning microservices to production within Kubernetes, Aspen Mesh maximizes the effectiveness of distributed systems. Additionally, it employs alerts designed to mitigate the risk of application failures or performance issues by analyzing data through advanced machine learning models. Furthermore, Secure Ingress ensures the safe exposure of enterprise applications to both customers and the web, reinforcing security measures during interaction. Overall, Aspen Mesh stands as a vital tool for companies aiming to thrive in today's dynamic digital landscape.
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.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Bloomberg
Docker
Envoy
Gojek
IBM Cloud
Istio
Kubeflow
NAVER
NVIDIA DRIVE
Integrations
Kubernetes
Bloomberg
Docker
Envoy
Gojek
IBM Cloud
Istio
Kubeflow
NAVER
NVIDIA DRIVE
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
F5
Founded
1996
Country
United States
Website
www.f5.com/products/aspen-mesh
Vendor Details
Company Name
KServe
Website
kserve.github.io/website/latest/
Product Features
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization