Try NVIDIA NIM APIs

Distill and deploy domain-specific AI models from unstructured financial data to generate market signals efficiently—scaling your workflow with the NVIDIA Data Flywheel Blueprint for high-performance, cost-efficient experimentation.

Blueprint

developer example

DeepSeek AI

deepseek-r1-distill-qwen-7b

Distilled version of Qwen 2.5 7B using reasoning data generated by DeepSeek R1 for enhanced performance.

Model

coding

2.26K3.92M

9mo

DeepSeek AI

deepseek-r1-distill-qwen-14b

Distilled version of Qwen 2.5 14B using reasoning data generated by DeepSeek R1 for enhanced performance.

Model

coding

2.12K3.58M

9mo

DeepSeek AI

deepseek-r1-distill-qwen-32b

Distilled version of Qwen 2.5 32B using reasoning data generated by DeepSeek R1 for enhanced performance.

Model

coding

2.51K3.96M

9mo

DeepSeek AI

deepseek-r1-distill-llama-8b

Distilled version of Llama 3.1 8B using reasoning data generated by DeepSeek R1 for enhanced performance.

Model

Distillation

3.94M

8mo

llama-3.1-405b-instruct

Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.

Model

synthetic data generation

1.96M

11mo

Items per page

of 1 pages