Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DeepInfer serves as an open-source framework designed for executing DeepSeek language models on Linux platforms that utilize compatible NVIDIA or Huawei Ascend accelerators. It encompasses a variety of features aimed at facilitating offline inference and efficient model execution, including optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, and the generation of structured outputs in formats like JSON Schema, regular expressions, and EBNF. The project documentation covers support for DeepSeek-V4.1-Flash along with comprehensive guidance on building, configuring, and utilizing examples and evaluation tools. Aimed at developers and infrastructure teams, it assists in constructing or assessing self-managed inference deployments. Additionally, the repository highlights that for production services, there may be a need for supplementary components such as KV-cache, prefill/decode disaggregation, and load-balancing mechanisms that are not part of this particular release, ensuring users are aware of potential additional requirements as they implement the framework. Overall, DeepInfer is designed to optimize the deployment of language models in various contexts, addressing both fundamental and advanced operational needs.
Description
A comprehensive platform for managing projects, models, and hosting, designed for organizations to transform their data and algorithms into cohesive, execution-ready AI strategies. Effortlessly build, train, and oversee models while ensuring security throughout the process. Create AI-driven products that can be accessed at any time and from any location. This approach minimizes the risks associated with AI investments and enhances strategic adaptability. It features fully automated processes for model testing, evaluation, deployment, scaling, and hardware load balancing, catering to both real-time low-latency high-throughput inference and longer batch inference. The pricing structure operates on a pay-per-second-of-use basis, including a service-level agreement (SLA) and comprehensive governance, monitoring, and auditing features. The platform boasts an intuitive interface that serves as a centralized hub for project management, dataset creation, visualization, and model training, all facilitated through collaborative and reproducible workflows. This empowers teams to work together seamlessly, ensuring that the development of AI solutions is efficient and effective.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Google Cloud Platform
No
Microsoft Azure
No
Integrations
Amazon Web Services (AWS)
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
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
No
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
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DeepSeek
Founded
2023
Country
China
Website
github.com/deepseek-ai/DeepInfer
Vendor Details
Company Name
SquareFactory
Founded
2022
Country
Switzerland
Website
www.squarefactory.io/product/
Product Features
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