Traditional operating systems are general-purpose. They force AI workloads through endless layers of abstraction: Context switches, Ring 3 isolation, VFS overhead, and massive data copying.
AetherOS shatters the stack. By executing the inference engine natively in Ring 0, we eliminate syscall overhead and achieve a Zero-Copy tensor path directly from NVMe to GPU VRAM.
Bypassing the OS layer entirely. Tensors flow from NVMe SSD → DMA Buffer → GGUF Parser → GPU VRAM. Zero intermediate copies for maximum theoretical throughput.
Core 0 handles the 60FPS UI compositor. Core 1 is the strictly isolated inference master. Zero lock contention.
Smart routing between bare-metal Gen9 GPGPU and CPU. Validated Q4_K execution with maxDiff < 0.00002.
We promise 8+ GiB of virtual space but allocate physical frames lazily via native page fault handlers. Massive context windows with near-zero base RAM footprint.
Main shell. Left panel (200px) + Top header (40px) + Bottom dock. RTC-driven real-time clock. Full Obsidian theme.
| Matrix | Dimensions | Max Diff | Status |
|---|---|---|---|
| #0 | 2048 × 2048 | 0.000016 | PASSED |
| #1 | 512 × 2048 | 0.000019 | PASSED |
| #2 | 2048 × 2048 | 0.000000 | PASSED |
| #3 | 8192 × 2048 | 0.000003 | PASSED |