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DeepSeek-R1 Enhances GPU Kernel Generation with Inference Time Scaling
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DeepSeek-R1 Enhances GPU Kernel Generation with Inference Time Scaling

NVIDIA's DeepSeek-R1 model uses inference-time scaling to improve GPU kernel generation, optimizing performance in AI models by efficiently managing computational resources during inference.

Together AI Expands DeepSeek-R1 Deployment with Enhanced Serverless APIs and Reasoning Clusters
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Together AI Expands DeepSeek-R1 Deployment with Enhanced Serverless APIs and Reasoning Clusters

Together AI enhances DeepSeek-R1 deployment with new serverless APIs and reasoning clusters, offering high-speed and scalable solutions for large-scale reasoning model applications.

Deploying DeepSeek-R1 Models on Together AI: A Secure and Cost-Effective Approach
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Deploying DeepSeek-R1 Models on Together AI: A Secure and Cost-Effective Approach

Discover how Together AI enables secure and efficient deployment of DeepSeek-R1 models, offering privacy controls and serverless pay-per-token pricing to revolutionize AI accessibility.

NVIDIA Introduces DeepSeek-R1 With Enhanced NIM Microservice
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NVIDIA Introduces DeepSeek-R1 With Enhanced NIM Microservice

NVIDIA launches DeepSeek-R1, a 671-billion-parameter model, as an NIM microservice to aid developers in building specialized AI agents with advanced reasoning capabilities.

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