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Model Inference Flow on Virtual GPU
================================
1. Storage and VRAM Setup
-------------------------
[HTTPGPUStorage]
│ ╲
│ ╲ Zero-Copy
│ ╲ Memory Mapping
▼ ▼
[Local Storage]──>[Virtual VRAM]
(Memory Pages) (Page Tables)
│ │
└──────────────┐ │
▼ ▼
[vGPU Device]
│
▼
2. Model Loading and Device Movement
----------------------------------
[Florence-2-Large] ---load---> [PyTorch Model]
│ │
│ ▼
│ [to_vgpu() conversion]
│ │
└─────────────────┐ │
▼ ▼
[Model on vGPU Device]
│
▼
3. Input Processing and Inference
--------------------------------
[Input Text] -----> [Tokenizer] -----> [Tensor]
│
▼
[to_vgpu() conversion]
│
▼
[Tensor on vGPU]
│
▼
4. Model Inference Flow
----------------------
[Model Forward Pass]
│
▼
[vGPU Computation]
│
▼
[PyTorch Output Tensor]
│
▼
[Last Hidden State]
(Shape: [batch_size, seq_length, hidden_size])
Data Flow and Memory Management:
-----------------------------
1. Storage Layer:
- HTTPGPUStorage ──> Local Storage (Memory Pages)
- Local Storage ──> Virtual VRAM (Zero-Copy)
- Virtual VRAM manages page tables pointing to local storage
2. Memory Architecture:
- Local Storage: Physical memory pages
- Virtual VRAM: Page tables and memory mappings
- Zero-copy between Local Storage and VRAM
- Direct memory access for GPU operations
3. Processing Flow:
- Model Layer: HF Model ──> PyTorch ──> vGPU
- Input Layer: Text ──> Tokens ──> Tensor ──> vGPU
- Output Layer: vGPU ──> PyTorch Tensor ──> Results
Key Components:
--------------
- HTTP Storage: HTTPGPUStorage (Network interface)
- Local Store: Memory pages (Physical storage)
- Virtual VRAM: Page tables (Memory management)
- Device: vGPU (Computation)
- Model: Florence-2-Large (transformer)
- Framework: PyTorch (ML operations)
- Interface: to_vgpu() (Zero-copy transfer)
Memory Management Details:
------------------------
1. Local Storage:
- Manages physical memory pages
- Direct mapping to virtual VRAM
- Zero-copy access for GPU ops
2. Virtual VRAM:
- Page table management
- Memory mapping to local storage
- No physical copying of data
- Direct GPU access to memory
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