- NVIDIA integrates Deepseek-R1 as a nim microservice
- AWS supports Deepseek-R1 by emphasizing the deployment of evolutionary and profitable AI
- Microsoft also has future local deployment plans for Deepseek
Having taken the AI world in recent weeks in recent weeks, Deepseek has now made significant progress in widening the accessibility of its advanced reasoning models.
The company has announced that its flagship Deepseek R1 model is now available on several platforms, including NVIDIA, AWS and Github.
The open source nature of Deepseek allows developers to build models according to its architecture and, at the time of the press, there are 3,374 models in depth of the development platform for a collaborative AI model.
NVIDIA, AWS, Github & Azure now offers Deepseek
On AWS, Deepseek-R1 models are now accessible via Amazon Bedrock which simplifies the integration of the API and Amazon Sagemaker which allows advanced personalization and training, supported by AWS Trainium and Inferentia for optimized profitability.
AWS also offers Deepseek-R1-Distill, a lighter version, thanks to the importation of a personalized model of the Amazon foundation. This server -free deployment simplifies infrastructure management while maintaining scalability.
NVIDIA has also integrated Deepseek-R1 as a NIM microservice, taking advantage of its hopper architecture and its FP8 engine acceleration to provide real-time and high quality responses.
The model, which includes 671 billion parameters and a context length of 128,000 tonnes, uses testing time scaling for improved precision.
It also benefits from the Hopper architecture of Nvidia, using the acceleration of the engine of the FP8 transformer and NVLink connectivity. By operating on an HGX H200 system, Deepseek-R1 can generate up to 3,872 tokens per second.
The Azure AI Foundry of Microsoft and Github have further expanded the scope of Deepseek, offering developers a secure and scalable platform to integrate AI into their workflows.
Microsoft has also implemented in -depth security measures, including content filtering and automated assessments. The company says it plans to offer distilled versions of Deepseek-R1 for local deployment on Copilot + PC in the future.
Deepseek-R1 took the world by offering a powerful and profitable AI model with advanced reasoning capacities and dethroned popular IA models like Chatgpt.
R1 would have been formed for only $ 6 million, its most advanced versions being approximately 95% cheaper to form than the comparable models of Nvidia and Microsoft.
