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Performance Targets
This page explains the headline XAI OS targets and their caveats.
These are design targets until benchmarked:
| Area | Design target |
|---|---|
| TCP/UDP latency | Up to 10-45% lower latency |
| Effective CPU-AI memory bandwidth | 3-18% higher |
| Sustained usable CPU-core performance | 2-12% higher |
| Scheduler jitter/migration | Near-zero on hot AI paths |
XAI OS cannot exceed physical silicon limits. It cannot make DRAM, LPDDR, cache fabric, or CPU cores faster than the hardware.
The design targets depend on removing avoidable overhead: thread migration, context switching, page faults after warmup, generic socket buffers, background kernel work, duplicate model copies, bad NUMA placement, interrupt noise, and shared-resource contention.
ARM/NVIDIA N1X-compatible targets focus on cluster placement, LPDDR/unified memory behavior, SMMU protection, and keeping CPU-only AI workers on the intended cores.
Intel Desktop targets focus on P-core/E-core placement, low-latency NIC behavior, DDR bandwidth, NVMe, and sustained frequency under build/test load.
Intel Xeon targets focus on NUMA locality, many memory channels, server NIC queues, multi-queue NVMe, many AI Cells, and memory-bandwidth admission control.
| Platform | TCP/UDP latency design target | Effective CPU-only AI bandwidth design target | Sustained core design target | Primary caveat |
|---|---|---|---|---|
| ARM/NVIDIA N1X-compatible | 15-35% lower | 8-18% higher | 5-12% higher | Firmware and LPDDR behavior may limit control |
| Intel Desktop | 20-45% lower | 5-12% higher | 4-10% higher | Limited memory channels and SMT/P-core/E-core policy matter |
| Intel Xeon | 10-30% lower | 3-10% higher | 2-8% higher | Tuned NUMA Linux may already be strong |
QEMU on macOS is excluded from performance claims.
XAI OS should only claim measured improvements for CPU-only embedded app agents under documented conditions. Broad claims that XAI OS beats Linux/BSD in general are not valid.
This page defines the GitHub Wiki navigation sidebar.
- Architecture
- AI Cells
- CPU AI Runtime
- App Agents
- Memory System
- Networking
- Scheduler and Core Isolation
- Filesystem and Storage
- Driver Model
- Security Model
- Build System
- Build System
- Project Tracker
- Implementation Plan
- QEMU Full OS Core Workdown
- QEMU 100 Completion Plan
- Example Apps
- Codex Work Packages
- Testing and Benchmarking