Add IPFS HLS streaming and GPU optimizations

- Add IPFSHLSOutput class that uploads segments to IPFS as they're created
- Update streaming task to use IPFS HLS output for distributed streaming
- Add /ipfs-stream endpoint to get IPFS playlist URL
- Update /stream endpoint to redirect to IPFS when available
- Add GPU persistence mode (STREAMING_GPU_PERSIST=1) to keep frames on GPU
- Add hardware video decoding (NVDEC) support for faster video processing
- Add GPU-accelerated primitive libraries: blending_gpu, color_ops_gpu, geometry_gpu
- Add streaming_gpu module with GPUFrame class for tracking CPU/GPU data location
- Add Dockerfile.gpu for building GPU-enabled worker image

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

tasks/ipfs_upload.py

@@ -69,6 +69,16 @@ def upload_to_ipfs(self, local_cid: str, actor_id: str) -> Optional[str]:
                 database.update_cache_item_ipfs_cid(local_cid, ipfs_cid)
             )
 
+            # Update friendly_names table to use IPFS CID instead of local hash
+            # This ensures assets can be fetched by remote workers via IPFS
+            try:
+                loop.run_until_complete(
+                    database.update_friendly_name_cid(actor_id, local_cid, ipfs_cid)
+                )
+                logger.info(f"Friendly name updated: {local_cid[:16]}... -> {ipfs_cid[:16]}...")
+            except Exception as e:
+                logger.warning(f"Failed to update friendly name CID: {e}")
+
             # Create index from IPFS CID to local cache
             cache_mgr._set_content_index(ipfs_cid, local_cid)