Running Turbo with DeepSeek-R1 involves integrating the capabilities of DeepSeek-R1, a large language model, with Turbo, which could refer to various applications or frameworks. However, specific details about "Turbo" are not provided in the search results. Assuming Turbo is a framework or application that utilizes DeepSeek-R1 for its AI functionalities, the hardware requirements would primarily focus on supporting DeepSeek-R1.
DeepSeek-R1 is a state-of-the-art AI model with 671 billion parameters, requiring substantial computational resources. Here are the detailed hardware requirements for running DeepSeek-R1 models:
- GPU Requirements: The full DeepSeek-R1 model necessitates a multi-GPU setup due to its high VRAM requirements, which are approximately 1,342 GB. A setup like NVIDIA A100 80GB GPUs x16 is recommended for optimal performance[1][5]. For smaller models, such as the distilled variants, GPUs like the NVIDIA RTX 3060 (for 1.5B models), RTX 3070 (for 7B and 8B models), RTX 3080 (for 14B models), and RTX 4090 (for 32B models) are suitable[1][5].
- CPU and RAM: While specific CPU requirements are not detailed, a CPU no older than 10 years is generally recommended for running AI models efficiently. For RAM, at least 16 GB is recommended for most setups, though smaller models might run with 8 GB[2][5].
- Storage: Ensure you have at least 20 GB of free storage space, preferably on an SSD for faster performance[5].
- Power and Cooling: Larger setups require careful planning for power supply and cooling systems to handle the increased energy consumption and heat generation.
If "Turbo" refers to a specific application or framework, additional hardware requirements might be necessary, but these would depend on the specifics of that application. Generally, running DeepSeek-R1 models efficiently requires aligning the model size with available hardware resources, ensuring scalability and compatibility.
Citations:
[1] https://dev.to/askyt/deepseek-r1-671b-complete-hardware-requirements-optimal-deployment-setup-2e48
[2] https://www.geeky-gadgets.com/hardware-requirements-for-deepseek-r1-ai-models/
[3] https://www.byteplus.com/en/topic/406370
[4] https://www.youtube.com/watch?v=ASpGHOV6LEQ
[5] https://dev.to/askyt/deepseek-r1-architecture-training-local-deployment-and-hardware-requirements-3mf8
[6] https://huggingface.co/deepseek-ai/DeepSeek-R1/discussions/19
[7] https://www.oneclickitsolution.com/centerofexcellence/aiml/deepseek-models-minimum-system-requirements
[8] https://apxml.com/posts/gpu-requirements-deepseek-r1
[9] https://www.youtube.com/watch?v=5RhPZgDoglE
[10] https://apxml.com/posts/system-requirements-deepseek-models