Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

FriendliAI serves as an advanced generative AI infrastructure platform that delivers rapid, efficient, and dependable inference solutions tailored for production settings. The platform is equipped with an array of tools and services aimed at refining the deployment and operation of large language models (LLMs) alongside various generative AI tasks on a large scale. Among its key features is Friendli Endpoints, which empowers users to create and implement custom generative AI models, thereby reducing GPU expenses and hastening AI inference processes. Additionally, it facilitates smooth integration with well-known open-source models available on the Hugging Face Hub, ensuring exceptionally fast and high-performance inference capabilities. FriendliAI incorporates state-of-the-art technologies, including Iteration Batching, the Friendli DNN Library, Friendli TCache, and Native Quantization, all of which lead to impressive cost reductions (ranging from 50% to 90%), a significant decrease in GPU demands (up to 6 times fewer GPUs), enhanced throughput (up to 10.7 times), and a marked decrease in latency (up to 6.2 times). With its innovative approach, FriendliAI positions itself as a key player in the evolving landscape of generative AI solutions.

Description

Tensormesh serves as an innovative caching layer designed for inference tasks involving large language models, allowing organizations to capitalize on intermediate computations, significantly minimize GPU consumption, and enhance both time-to-first-token and overall latency. By capturing and repurposing essential key-value cache states that would typically be discarded after each inference, it eliminates unnecessary computational efforts and achieves “up to 10x faster inference,” all while substantially reducing the strain on GPUs. The platform is versatile, accommodating both public cloud and on-premises deployments, and offers comprehensive observability, enterprise-level control, as well as SDKs/APIs and dashboards for seamless integration into existing inference frameworks, boasting compatibility with inference engines like vLLM right out of the box. Tensormesh prioritizes high performance at scale, enabling sub-millisecond repeated queries, and fine-tunes every aspect of inference from caching to computation, ensuring that organizations can maximize efficiency and responsiveness in their applications. In an increasingly competitive landscape, such enhancements provide a critical edge for companies aiming to leverage advanced language models effectively.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
DeepSeek Yes 
Gemma 3 Yes 
Gemma 4 Yes 
Grafana Cloud Yes 
Hugging Face Yes 
Kubernetes Yes 
LangChain Yes 
LiteLLM Yes 
Llama 3.3 Yes 
Meta AI Yes 
Microsoft Azure Yes 
MongoDB Yes 
NVIDIA DRIVE Yes 
Poe Yes 
Prometheus Yes 
Qwen Yes 
Weaviate Yes 

Integrations

Amazon Web Services (AWS) No 
DeepSeek No 
Gemma 3 No 
Gemma 4 No 
Grafana Cloud No 
Hugging Face No 
Kubernetes No 
LangChain No 
LiteLLM No 
Llama 3.3 No 
Meta AI No 
Microsoft Azure No 
MongoDB No 
NVIDIA DRIVE No 
Poe No 
Prometheus No 
Qwen No 
Weaviate No 

Pricing Details

$5.9 per hour
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

FriendliAI

Founded

2021

Country

United States

Website

friendli.ai/

Vendor Details

Company Name

Tensormesh

Founded

2025

Country

United States

Website

www.tensormesh.ai/

Product Features

Alternatives

Alternatives

Photon Reviews

Photon

Moondream