+
+

Related Products

  • Runpod
    220 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • UTunnel VPN and ZTNA
    118 Ratings
    Visit Website
  • Azore CFD
    24 Ratings
    Visit Website
  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • Ditto
    2 Ratings
    Visit Website
  • Planview ProjectAdvantage
    121 Ratings
    Visit Website
  • Dynamo Software
    71 Ratings
    Visit Website

About

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.

About

WebLLM is a high-performance, in-browser language model inference engine that leverages WebGPU for hardware acceleration, enabling powerful LLM operations directly within web browsers without server-side processing. It offers full OpenAI API compatibility, allowing seamless integration with functionalities such as JSON mode, function-calling, and streaming. WebLLM natively supports a range of models, including Llama, Phi, Gemma, RedPajama, Mistral, and Qwen, making it versatile for various AI tasks. Users can easily integrate and deploy custom models in MLC format, adapting WebLLM to specific needs and scenarios. The platform facilitates plug-and-play integration through package managers like NPM and Yarn, or directly via CDN, complemented by comprehensive examples and a modular design for connecting with UI components. It supports streaming chat completions for real-time output generation, enhancing interactive applications like chatbots and virtual assistants.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and professionals searching for a model inference platform on Kubernetes

Audience

Developers seeking a tool to implement high-performance, in-browser language model inference without relying on server-side processing

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

KServe
kserve.github.io/website/latest/

Company Information

WebLLM
webllm.mlc.ai/

Alternatives

Alternatives

Categories

Categories

Integrations

Bloomberg
Codestral
Docker
IBM Cloud
JSON
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.3
Mathstral
Ministral 3B
Mistral Large
Mixtral 8x22B
NAVER
Phi-3
Vicuna
ZenML

Integrations

Bloomberg
Codestral
Docker
IBM Cloud
JSON
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.3
Mathstral
Ministral 3B
Mistral Large
Mixtral 8x22B
NAVER
Phi-3
Vicuna
ZenML
Claim KServe and update features and information
Claim KServe and update features and information
Claim WebLLM and update features and information
Claim WebLLM and update features and information