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Dmitry Dimcha edited this page Jan 29, 2026 · 8 revisions

Status: Phase 3 - Hardware Validation
Completion: 95% overall
Blocking: Native hardware testing Last Updated: 29 January 2026

Overview

EMBODIOS development is organized into three phases. All phases are complete except native hardware validation.

Phase Status Completion
Phase 1: Foundation ✅ COMPLETE 100%
Phase 2: AI Runtime ✅ COMPLETE 100%
Phase 3: Production ✅ COMPLETE 95% (hardware testing pending)

Phase 1: Foundation ✅ COMPLETE

Completed December 2025 - January 2026

Kernel Foundation

  • ✅ Physical Memory Manager (PMM) with buddy allocator
  • ✅ Virtual Memory Manager (VMM) with identity mapping
  • ✅ Slab allocator for kernel objects
  • ✅ Dynamic heap allocator (376 MB)
  • ✅ Page-aligned allocations for model weights

Boot & Architecture

  • ✅ x86_64 multiboot2 boot process
  • ✅ ARM64 boot process (Raspberry Pi 5)
  • ✅ GRUB integration
  • ✅ Early initialization routines
  • ✅ Interrupt handling

Console I/O

  • ✅ VGA text mode (x86_64)
  • ✅ Serial console (QEMU -nographic)
  • ✅ UART support (ARM64)
  • ✅ Kernel panic handler

Build System

  • ✅ Multi-architecture Makefile
  • ✅ CI/CD pipeline
  • ✅ Docker build support
  • ✅ QEMU testing infrastructure

Phase 2: AI Runtime ✅ COMPLETE

Completed January 2026

GGUF Parser (100%)

  • ✅ Full GGUF v3 format support
  • ✅ Metadata extraction (architecture, layers, heads)
  • ✅ Tokenizer vocabulary loading (150K+ tokens)
  • ✅ All quantization types (Q4_K, Q5_K, Q6_K, Q8_0, F16, F32)
  • ✅ Block device loading for large models

BPE Tokenizer (100%)

  • ✅ Proper BPE from GGUF vocabulary
  • ✅ SentencePiece-style space markers
  • ✅ Hash table for O(1) lookup
  • ✅ UTF-8 handling
  • ✅ Special tokens support
  • ✅ Auto-initialization from GGUF

Streaming Inference (100%)

  • ✅ Complete transformer forward pass
  • ✅ Multi-head attention with GQA
  • ✅ RoPE positional encoding
  • ✅ SwiGLU feed-forward network
  • ✅ KV cache for efficient generation
  • ✅ Streaming layer-by-layer (64MB vs 4GB)

Parallel Inference (100%)

  • ✅ 4 parallel worker threads
  • ✅ Core pinning for NUMA
  • ✅ Parallel attention computation
  • ✅ Task-based parallelism

SIMD Optimizations (100%)

  • ✅ SSE2 dot product (x86_64)
  • ✅ AVX2 detection and use
  • ✅ NEON SIMD (ARM64)
  • ✅ Q4_K fused matmul with NEON

Verified Models

Model Size Quantization Status
SmolLM-135M 469 MB Q6_K ✅ PASS
TinyLlama-1.1B 638 MB Q4_K_M ✅ PASS
Phi-2-2.7B 1.7 GB Q4_K_M ✅ PASS
Mistral-7B 4.2 GB Q4_K_M ✅ PASS

Phase 3: Production ✅ COMPLETE (95%)

Status: Hardware Validation Pending

Production Tools (100% ✅)

  • ✅ scripts/create_iso.sh - Bootable ISO builder
  • ✅ scripts/benchmark_vs_llamacpp.sh - Performance comparison
  • ✅ isodir/manifest.json - ISO metadata template
  • ✅ GRUB boot menu (Normal/Debug/Safe modes)

Drivers (85% ✅)

  • ✅ PCI subsystem with driver framework
  • ✅ NVMe driver
  • ✅ VirtIO block/net
  • ✅ Intel e1000e
  • ✅ Basic TCP/IP stack
  • ✅ CAN bus, Modbus TCP, EtherCAT

Console & UX (100% ✅)

  • ✅ Interactive chat mode (talk)
  • ✅ Performance tracking (perf)
  • ✅ Status display (status)
  • ✅ Polished help system
  • ✅ Command suggestions

Documentation (100% ✅)

  • ✅ Complete wiki (21 pages)
  • ✅ Console Commands reference
  • ✅ Contributing guide
  • ✅ Updated README

Stability Testing (100% ✅)

  • ✅ CI/CD with automated tests
  • ✅ 1h-72h stability tests
  • ✅ Memory leak detection
  • ✅ Checkpoint/resume support

Remaining Tasks (Hardware Only)

  • Native hardware boot - Boot on Intel NUC or similar
  • Performance validation - Confirm 85+ tok/s on native
  • v1.0 tag and release - When hardware tests pass

v1.0 Release Checklist

Must Have

  • Kernel boots on x86_64 ✅
  • GGUF model loads ✅
  • BPE tokenizer works ✅
  • Inference produces output ✅
  • Interactive chat mode ✅
  • Performance tracking ✅
  • Production ISO builds ✅
  • CI passes ✅
  • Documentation complete ✅
  • Native hardware boot verified ⏳
  • Performance targets met (85+ tok/s) ⏳

Nice to Have (Post-v1.0)

  • ARM64 support ✅
  • Multiple quantization types ✅
  • Parallel inference ✅
  • Industrial protocols ✅
  • Network model download
  • Web UI
  • Distributed inference (exo)

Post-v1.0 Roadmap

v1.1 - Network Features

  • HTTP client for model download
  • Model caching on disk
  • Remote inference API

v1.2 - Advanced Models

  • More model architectures
  • Vision models
  • Multi-modal support

v2.0 - Distributed Inference

  • exo integration
  • Multi-node inference
  • Cluster management

Timeline Summary

Oct 2025    ████░░░░░░  Phase 1 Start
Nov 2025    ████████░░  Phase 1 Complete
Dec 2025    ██████████  Phase 2 Start  
Jan 2026    ██████████████░░  Phase 2 Complete, Phase 3 Start
Feb 2026    ██████████████████  v1.0 Release (expected)

Links

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