Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • AthenaHQ Reviews & Ratings
    50 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • ONLYOFFICE Docs Reviews & Ratings
    715 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • IONOS Cloud GPU Servers Reviews & Ratings
    45,340 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    443 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Nexo Reviews & Ratings
    18,780 Ratings
    Company Website
  • Passwork Reviews & Ratings
    129 Ratings
    Company Website
  • Sirion CLM Reviews & Ratings
    327 Ratings
    Company Website

What is DeepSeek-V2?

DeepSeek-V2 represents an advanced Mixture-of-Experts (MoE) language model created by DeepSeek-AI, recognized for its economical training and superior inference efficiency. This model features a staggering 236 billion parameters, engaging only 21 billion for each token, and can manage a context length stretching up to 128K tokens. It employs sophisticated architectures like Multi-head Latent Attention (MLA) to enhance inference by reducing the Key-Value (KV) cache and utilizes DeepSeekMoE for cost-effective training through sparse computations. When compared to its earlier version, DeepSeek 67B, this model exhibits substantial advancements, boasting a 42.5% decrease in training costs, a 93.3% reduction in KV cache size, and a remarkable 5.76-fold increase in generation speed. With training based on an extensive dataset of 8.1 trillion tokens, DeepSeek-V2 showcases outstanding proficiency in language understanding, programming, and reasoning tasks, thereby establishing itself as a premier open-source model in the current landscape. Its groundbreaking methodology not only enhances performance but also sets unprecedented standards in the realm of artificial intelligence, inspiring future innovations in the field.

What is DeepInfer?

DeepInfer is an open-source framework tailored for running DeepSeek language models on Linux systems equipped with compatible NVIDIA or Huawei Ascend accelerators. It boasts a range of features intended to streamline offline inference and enhance model performance, such as optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, and the creation of structured outputs in formats including JSON Schema, regular expressions, and EBNF. The documentation for the project includes support details for DeepSeek-V4.1-Flash, along with thorough instructions for building, configuring, and utilizing various examples and evaluation tools. Targeted at developers and infrastructure teams, it aids in the development or evaluation of self-managed inference deployments. Furthermore, the repository emphasizes that for production environments, additional components like KV-cache, prefill/decode disaggregation, and load-balancing mechanisms may be necessary, making users conscious of possible extra requirements as they implement the framework. In summary, DeepInfer not only optimizes the deployment of language models across diverse applications but also caters to both essential and sophisticated operational needs, making it a versatile tool for developers. This framework ultimately encourages innovation in language processing and model deployment strategies.

Media

Media

Integrations Supported

SiliconFlow

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Windows
Mac
On-Prem
Linux

Supported Platforms

On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

github.com/deepseek-ai/DeepInfer

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Inference

Not specified

Popular Alternatives

DeepSeek-V4 Reviews & Ratings

DeepSeek-V4

DeepSeek

Popular Alternatives

DeepSeek-V2 Reviews & Ratings

DeepSeek-V2

DeepSeek