








AI-HDMS Optimizer
Software for AI data centers to compress/secure datasets/models via embedded 3D videos. It supports multi-source fusion (e.g., training data + metadata) and video reuse for efficient cold storage, reducing hardware/energy needs by 20-50%.
Key Specifications:
Embedding: 2-5 layers; RF-modulated (8-12 bits/voxel); AI hooks for Torch/TF integration.
Compression/Security: FEC1 (40%) + V-PCC/H.265 + FEC2 (50%); PQC for quantum-safe models.
Performance: <0.04s/block; 100:1+ ratios; Spectrum-X acceleration for high-bandwidth fusion.
Networking: Spectrum-X where available for in-network processing; supports rack-dense setups.
Hardware Modifications: Large blocks (32-64 KB) for high-power GPUs; optimized for cooling/power limits via efficient routing.
Use Cases: Dataset compression, secure AI workflows, multi-source model archival in cold storage.
Platform Support: Server integrations (Ray/Kubeflow); licenses.
Software for AI data centers to compress/secure datasets/models via embedded 3D videos. It supports multi-source fusion (e.g., training data + metadata) and video reuse for efficient cold storage, reducing hardware/energy needs by 20-50%.
Key Specifications:
Embedding: 2-5 layers; RF-modulated (8-12 bits/voxel); AI hooks for Torch/TF integration.
Compression/Security: FEC1 (40%) + V-PCC/H.265 + FEC2 (50%); PQC for quantum-safe models.
Performance: <0.04s/block; 100:1+ ratios; Spectrum-X acceleration for high-bandwidth fusion.
Networking: Spectrum-X where available for in-network processing; supports rack-dense setups.
Hardware Modifications: Large blocks (32-64 KB) for high-power GPUs; optimized for cooling/power limits via efficient routing.
Use Cases: Dataset compression, secure AI workflows, multi-source model archival in cold storage.
Platform Support: Server integrations (Ray/Kubeflow); licenses.