- Nvidia integrates Deepseek-R1 as a NIM Microservice
- AWS supports Deepseek-R1 focusing on scalable and cost-effective AI Implementation
- Microsoft also has future local implementation plans for Deepseek
After taking the AI world by storm in recent weeks, Deepseek has now made significant progress in expanding the availability of its advanced reasoning models.
The company has announced its flagship Deepseek R1 model is now available on several platforms, including NVIDIA, AWS and GITHUB.
Deepseeks Open Source Nature allows developers to build models based on its architecture, and at the press point there are 3,374 Deepseek-based models available Collaborative AI model Development Platform Hugging Face.
NVIDIA, AWS, GITHUB & AZURE is now offering Deepseek
At AWS, Deepseek-R1 models are now available via Amazon Bedrock, which simplifies API integration and Amazon sagemaker, enabling advanced adaptation and training, supported by AWS Trainium and Inferentia for optimized cost effectiveness.
AWS also offers Deepseek-R1-DILL, a lighter version, through Amazon Bedrock Custom Model Import. This serverless implementation simplifies infrastructure control while maintaining scalability.
Nvidia has also integrated Deepseek-R1 as a NIM Microservice that utilizes its Hopper architecture and FP8 Transformer Engine Acceleration to deliver real-time reactions, high quality.
The model, which has 671 billion parameters and a 128,000-token context length, uses test time scaling for improved accuracy.
It also benefits from Nvidia’s jumping architecture using FP8 Transformer Engine Acceleration and NVLink connection. Running on an HGX H200 system, Deepseek-R1 can generate up to 3,872 tokens per day. Second.
Microsoft’s Azure AI foundry and GitHub have further extended Deepseek’s reach and offer developers a secure and scalable platform to integrate AI into their workflows.
Microsoft has also implemented extensive security measures, including content filtration and automated assessments. The company claims that it plans to offer distilled versions of Deepseek-R1 for local implementation on Copilot+ PCS in the future.
Deepseek-R1 took the world by storm by offering a powerful, cost-effective AI model with advanced reasoning features and has degraded popular AI models such as Chatgpt.
R1 was allegedly trained for only $ 6 million, with the most advanced versions about 95% cheaper to train than comparable models from Nvidia and Microsoft.
