Subj : DeepSeek R1 is now available on Nvidia, AWS, and Github as availa
To   : All
From : TechnologyDaily
Date : Mon Feb 03 2025 19:45:06

DeepSeek R1 is now available on Nvidia, AWS, and Github as available models 
on Hugging Face shoot past 3,000

Date:
Mon, 03 Feb 2025 19:34:00 +0000

Description:
DeepSeek-R1 expands across Nvidia, AWS, GitHub, and Azure, boosting 
accessibility for developers and enterprises.

FULL STORY
======================================================================Nvidia 
integrates DeepSeek-R1 as a NIM microservice AWS supports DeepSeek-R1 with a 
focus on scalable and cost-efficient AI deployment Microsoft also has future 
local deployment plans for DeepSeek 

Having taken the AI world by storm in recent weeks, DeepSeek has now made 
significant strides in expanding the accessibility of its advanced reasoning 
models. 

The company has announced its flagship DeepSeek R1 model is now available on 
multiple platforms, including Nvidia, AWS, and GitHub. 

DeepSeeks open source nature allows developers to build models based on its 
architecture, and, at press time, there are 3,374 DeepSeek-based models 
available collaborative AI-model development platform Hugging Face . Nvidia, 
AWS, Github & Azure now offers DeepSeek 

On AWS, DeepSeek-R1 models are now accessible through Amazon Bedrock which 
simplifies API integration and Amazon SageMaker which enables advanced 
customization and training, supported by AWS Trainium and Inferentia for 
optimized cost efficiency. 

AWS also offers DeepSeek-R1-Distill, a lighter version, through Amazon 
Bedrock Custom Model Import. This serverless deployment simplifies 
infrastructure management while maintaining scalability. 

Nvidia has also integrated DeepSeek-R1 as a NIM microservice , leveraging its 
Hopper architecture and FP8 Transformer Engine acceleration to deliver 
real-time, high-quality responses. 

The model, which features 671 billion parameters and a 128,000-token context 
length, utilizes test-time scaling for improved accuracy. 

It also benefits from Nvidias Hopper architecture, using FP8 Transformer 
Engine acceleration and NVLink connectivity. Running on an HGX H200 system, 
DeepSeek-R1 can generate up to 3,872 tokens per second. 

Microsofts Azure AI Foundry and GitHub have further expanded DeepSeeks reach, 
offering developers a secure and scalable platform to integrate AI into their 
workflows. 

Microsoft has also implemented extensive safety measures, including content 
filtering and automated assessments. The company claims that it plans to 
offer distilled versions of DeepSeek-R1 for local deployment on Copilot+ PCs 
in the future . 

DeepSeek-R1 took the world by storm by offering a powerful, cost-efficient AI 
model with advanced reasoning capabilities and has dethroned popular AI 
models like ChatGPT . 

R1 was reportedly trained for just $6 million, with its most advanced 
versions being about 95% cheaper to train than comparable models from NVIDIA 
and Microsoft. You may also like Nvidia calls DeepSeek an 'excellent AI 
advancement' and praises the Chinese AI app's ingenuity OpenAI says DeepSeek 
used its models illegally, and it has evidence to prove it, new report claims 
DeepSeek and the race to surpass human intelligence



======================================================================
Link to news story:
https://www.techradar.com/computing/software/deepseek-r1-is-now-available-on-n
vidia-aws-and-github-as-available-models-on-hugging-face-shot-past-3-000


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