nvidia推理框架

Sure, here's a diagram illustrating the relationships between Triton, TensorRT-LLM, TensorRT, and CUDA:

+--------------------+      +--------------------+      +-----------------------+      +--------------------+
|         CUDA        | -----> | TensorRT Parser     | -----> | TensorRT Optimizer   | -----> | TensorRT Builder     | -----> | TensorRT Runtime   |
+--------------------+      +--------------------+      +-----------------------+      +--------------------+
                             |                      |                             ^                         |
                             |                      |                             |                         |
                             +--------------------+                             +--------------------+
                                                 |
                                                 |
                             +--------------------+      +--------------------+
                             |  TensorRT-LLM       | -----> | Triton Inference     |
                             +--------------------+      +--------------------+
                                                 |                      |
                                                 |                      v
                                             +--------------------+
                                             | Model Repository    |
                                             +--------------------+
                                                 |                      |
                                                 |                      v
                                             +--------------------+
                                             | Backend Scheduler  |
                                             +--------------------+
                                                 |                      |
                                                 |                      v
                                             +--------------------+
                                             | Backend Providers  |
                                             +--------------------+
                                                 |                      |
                                                 |                      v
                                             +--------------------+
                                             |  HTTP/GRPC Server  |
                                             +--------------------+

Explanation:

• The diagram starts with CUDA at the bottom, representing the foundation for all the other tools.
• TensorRT Parser reads the pre-trained model.
• TensorRT Optimizer analyzes and optimizes the model for efficient execution on NVIDIA GPUs.
• TensorRT Builder creates a serialized TensorRT Engine optimized for the target GPU.
• TensorRT Runtime executes the optimized engine on the GPU for inference.
• TensorRT-LLM extends the functionalities of TensorRT for specifically optimizing and accelerating large language models.
• Triton Inference Server manages models in its Model Repository, uses the Backend Scheduler to distribute inference requests, and interacts with Backend Providers that can leverage optimized TensorRT Engines (including those from TensorRT-LLM) for GPU execution. Finally, it provides an HTTP/GRPC Server for clients to submit inference requests.

I hope this visual representation clarifies the relationships and architecture of these tools within NVIDIA's inference ecosystem.