examples — TFT.OpenGPU.Stack.Module

Example 1 — Remote Desktop Reconstruction#

Scenario:
A Cloud PC session sends TFT primitive streams instead of pixel frames.

Flow:

1. Substrate declares dimensional intent (Op.Intent).
2. Rendering reconstructs scene (Render.Scene).
3. Execution resolves GPU work (Exec.Dispatch).
4. Endpoint reconstructs viewport (Exec.Reconstruct.Viewport).

Result:
Smooth remote desktop with GPU-native fidelity.

Example 2 — Cloud PC Tiering#

Scenario:
User selects a mid-tier Cloud PC.

Flow:

1. Tier defines vGPU slice (Tier.Cycle).
2. Substrate cycles map to execution cycles.
3. Rendering fidelity adjusts automatically.
4. Endpoint reconstructs dimensional surfaces.

Result:
Consistent performance across tiers.

Example 3 — AMD Partnership Surface#

Scenario:
AMD adopts TFT substrate primitives under NDA.

Flow:

1. Substrate primitives map to ROCm kernels.
2. Rendering layer uses Vulkan/WebGPU.
3. Execution layer uses SR‑IOV vGPU slices.
4. Cloud PC stack becomes AMD-first.

Result:
Open GPU stack independent of NVIDIA.

Example 4 — RDP Graphics Pipeline Extension#

Scenario:
TFT primitives inserted into RDPEGFX.

Flow:

1. Primitive stream encoded (RDP.PrimitiveStream).
2. Transport via secure RDP channel.
3. Endpoint decodes (RDP.Decode).
4. GPU reconstructs dimensional intent.

Result:
High-fidelity remote rendering with minimal bandwidth.

Example 5 — UE6 Optional Integration#

Scenario:
UE6 scene graph mapped to TFT substrate.

Flow:

1. UE6 mesh → Dim.Surface.
2. UE6 material → Dim.Material.
3. UE6 transform → Dim.Transform.
4. Rendering layer reconstructs scene.

Result:
Game-engine-level fidelity in remote rendering.