[ROADMAP] 🚀 TritonForge ROADMAP - Q4 2025 & Beyond

# 🚀 TritonForge ROADMAP - Q4 2025 & Beyond

**Issue Type:** Roadmap
**Priority:** High
**Milestone:** Q4-2025
**Labels:** `roadmap`, `enhancement`
**Current Date:** September 27, 2025

## 📋 Executive Summary

This roadmap outlines TritonForge's evolution from a kernel generation framework to a comprehensive, intelligent kernel development platform. With only 3 months left in 2025, we've prioritized achievable monthly goals that build from easy wins to complex features.

## 🎯 Core Objectives

1. **Scale Infrastructure** - Move from 4+2+2 to 4+4+2 architecture for enhanced multi-turn training
2. **Expand Model Support** - Enable MOE and 30B+ parameter models
3. **Intelligent Agent** - Integrate tool calling for profiling, search, and documentation
4. **Universal DSL** - Support multiple kernel languages beyond Triton
5. **Production GUI** - Web-based monitoring and management dashboard

## 📊 Task Breakdown

### 1️⃣ Infrastructure & Architecture

- [ ] **Scale to 4+4+2 Architecture** [#infrastructure]
  - [ ] Implement 4 GPU training actor support
  - [ ] Scale rollout generation to 4 GPUs
  - [ ] Enable flexible eval node placement
  - [ ] Optimize server-based resource allocation
  - **Owner:** @infrastructure-team
  - **Target:** Q3 2025
  - **Dependencies:** Ray 2.x upgrade

- [ ] **FSDP Backend Integration** [#backend]
  - [ ] Monitor SLIME upstream for FSDP support
  - [ ] Implement FSDP adapter for Megatron-LM
  - [ ] Test with large-scale models
  - [ ] Benchmark vs current parallelism strategies
  - **Owner:** @backend-team
  - **Target:** Q4 2025
  - **Dependencies:** SLIME upstream release

- [ ] **AMD Multi-turn Stability** [#amd]
  - [ ] Reproduce node crash issues
  - [ ] Test with ROCm 6.5+
  - [ ] Implement crash recovery mechanisms
  - [ ] Document AMD-specific optimizations
  - **Owner:** @amd-team
  - **Target:** Q3 2025
  - **Priority:** Critical

### 2️⃣ Model & Training Advances

- [ ] **MOE Model Support** [#models]
  - [ ] Integrate Qwen3-30B-A3B architecture
  - [ ] Optimize sparse activation patterns
  - [ ] Implement efficient MOE parallelism
  - [ ] Benchmark vs dense models
  - **Owner:** @model-team
  - **Target:** Q4 2025
  - **Test Model:** [Qwen/Qwen3-30B-A3B](https://huggingface.co/Qwen/Qwen3-30B-A3B)

- [ ] **KernelBench v0.1 Release** [#kernelbench]
  - [ ] Expand benchmark suite (500+ kernels)
  - [ ] Add complexity categorization
  - [ ] Implement performance regression testing
  - [ ] Create leaderboard system
  - **Owner:** @benchmark-team
  - **Target:** Q1 2026
  - **Deliverable:** Public benchmark release

### 3️⃣ Kernel Agent Intelligence

- [ ] **Tool Calling Framework** [#agent]
  - [ ] **Profiling Integration**
    - [ ] PyTorch profiler integration
    - [ ] Operation-level cost analysis
    - [ ] Bottleneck auto-detection
    - [ ] Optimization recommendations

  - [ ] **Documentation Access**
    - [ ] Context7 API integration
    - [ ] Real-time doc retrieval
    - [ ] Version-aware generation
    - [ ] API compatibility checking

  - [ ] **Search Capabilities**
    - [ ] Web search for techniques
    - [ ] Academic paper integration
    - [ ] Stack Overflow mining
    - [ ] GitHub code search

  - [ ] **Terminal Execution**
    - [ ] Sandboxed execution env
    - [ ] Interactive debugging
    - [ ] Performance testing
    - [ ] A/B comparison runs

  - **Owner:** @agent-team
  - **Target:** Q1 2026
  - **Architecture:** Tool-use LLM pattern

### 4️⃣ Multi-DSL Support

- [ ] **Universal Kernel Generation** [#dsl]
  - [ ] CUDA kernel generation
  - [ ] HIP/ROCm native support
  - [ ] OpenCL compatibility
  - [ ] SYCL integration
  - [ ] Custom DSL plugin system
  - [ ] Cross-compilation framework
  - **Owner:** @compiler-team
  - **Target:** Q1 2026
  - **Design Doc:** Required by Q4 2025

### 5️⃣ Monitoring & Visualization

- [ ] **Web GUI Dashboard** [#gui]
  - [ ] **Training Monitor**
    - [ ] Real-time loss visualization
    - [ ] Checkpoint management UI
    - [ ] Hyperparameter tracking
    - [ ] Resource utilization graphs

  - [ ] **Rollout Visualizer**
    - [ ] Multi-turn trajectory viewer
    - [ ] Reward distribution charts
    - [ ] Pattern recognition tools
    - [ ] Code diff visualization

  - [ ] **Task Manager**
    - [ ] Queue management interface
    - [ ] Worker allocation control
    - [ ] Throughput monitoring
    - [ ] Error tracking system

  - [ ] **Performance Analytics**
    - [ ] Speedup trend analysis
    - [ ] Compilation success rates
    - [ ] Correctness metrics
    - [ ] Operation breakdown

  - **Owner:** @frontend-team
  - **Target:** Q3 2025 (v1.0)
  - **Tech Stack:** React + FastAPI + WebSockets

## 📈 Success Criteria

### Performance Metrics
- ✅ **2-3x speedup** over hand-written kernels
- ✅ **99%+ compilation** success rate
- ✅ **95%+ operation** coverage

### Scale Metrics
- ✅ Support for **100B+ parameter** models
- ✅ **Multi-node training** capability
- ✅ **1000+ kernels/hour** generation rate

### Quality Metrics
- ✅ **<5% performance regression** vs manual optimization
- ✅ **100% functional correctness** for supported ops
- ✅ **<1s generation latency** for single kernels

## 📅 Monthly Milestones - Q4 2025

### 🟢 October 2025 - Foundation & Quick Wins
**Goal:** Stabilize platform and establish monitoring
**Difficulty:** Easy
- **Week 1-2: AMD Stability**
  - Fix multi-turn node crashes
  - Test with ROCm 6.5+
  - Document workarounds
- **Week 2-3: Basic GUI**
  - Deploy FastAPI backend
  - React frontend with basic metrics
  - Real-time loss visualization
- **Week 3-4: KernelBench Prep**
  - Data collection pipeline
  - Automated testing setup
  - Initial categorization
- **Success Metrics:** Zero crashes, GUI operational, 100+ kernels collected

### 🟡 November 2025 - Scaling & Optimization
**Goal:** Enhanced capacity and visualization
**Difficulty:** Medium
- **Week 1-2: Architecture Scaling**
  - Implement 4+4+2 configuration
  - Optimize resource allocation
  - Single-node testing
- **Week 2-3: GUI Enhancement**
  - Add rollout visualization
  - Reward distribution charts
  - Task queue monitoring
- **Week 3-4: MOE Preparation**
  - Test smaller MOE models
  - Memory profiling
  - Performance baselines
- **Success Metrics:** 2x throughput, visual monitoring, MOE baseline established

### 🔴 December 2025 - Advanced Features
**Goal:** Large models and intelligence
**Difficulty:** Medium-Hard
- **Week 1-2: Qwen3-30B-A3B**
  - Full integration
  - Sparse activation optimization
  - Performance tuning
- **Week 2-3: Tool Calling v1**
  - PyTorch profiler integration
  - Operation cost analysis
  - Bottleneck detection
- **Week 3-4: GUI v1.0**
  - Complete monitoring suite
  - Multi-turn trajectory viewer
  - Performance analytics
- **Success Metrics:** 30B MOE training successful, profiling operational

## 🎯 2026 Roadmap - Priority Based

### Q1 2026 - Core Enhancements
**Priority:** High
- **FSDP Integration** (if upstream ready)
- **KernelBench v0.1** release
- **Tool Calling v2** (docs, search)
- **Multi-node support**

### Q2 2026 - Production Features
**Priority:** Medium
- **Multi-DSL Support** (CUDA first)
- **70B+ model** capability
- **Enterprise features**
- **Advanced tool calling**

## 🔄 Dependencies & Risks

### External Dependencies
- **SLIME Upstream**: FSDP support timeline uncertain
- **ROCm Updates**: AMD driver stability improvements
- **Model Releases**: Access to latest MOE architectures

### Technical Risks
- **Scale Complexity**: Multi-node coordination challenges
- **Tool Integration**: LLM tool-use reliability
- **Cross-Platform**: DSL compatibility issues

### Mitigation Strategies
1. **Parallel Development**: Work on independent features simultaneously
2. **Incremental Rollout**: Phase features with fallback options
3. **Community Engagement**: Open source contributions for faster progress

## 👥 Team Allocation

| Team | Focus Area | Size | Lead |
|------|------------|------|------|
| Infrastructure | Architecture, scaling | 3 | TBD |
| Backend | SLIME, Megatron, FSDP | 2 | TBD |
| Models | MOE, large-scale training | 2 | TBD |
| Agent | Tool calling, intelligence | 3 | TBD |
| Compiler | Multi-DSL, kernels | 2 | TBD |
| Frontend | GUI, visualization | 2 | TBD |
| QA/Benchmark | Testing, KernelBench | 2 | TBD |

## 💬 Discussion Points

1. **Resource Allocation**: Should we prioritize GUI or agent intelligence first?
2. **Model Strategy**: Focus on MOE or scale to 70B+ dense models?
3. **DSL Priority**: Which kernel languages after Triton?
4. **Deployment Model**: SaaS vs on-premise priority?
5. **Open Source Strategy**: What components to keep proprietary?

## 📝 Action Items

- [ ] Assign team leads for each workstream
- [ ] Create detailed technical design docs
- [ ] Set up bi-weekly roadmap review meetings
- [ ] Establish success metrics tracking
- [ ] Initialize component repositories
- [ ] Draft partnership strategy for tool integrations

## 🔗 Related Issues

- #TBD - Infrastructure scaling design
- #TBD - MOE model architecture support
- #TBD - Tool calling framework RFC
- #TBD - GUI dashboard mockups
- #TBD - KernelBench v0.1 specification

## 💡 Community Input

We welcome community feedback on this roadmap! Please comment below with:
- Feature requests or priority adjustments
- Technical suggestions or concerns
- Collaboration opportunities
- Resource contributions

---

**Last Updated:** September 2025
**Review Cycle:** Weekly (Q4 2025), Monthly (2026)
**Next Review:** October 2025

*This is a living document. Subscribe to this issue for updates.*

## 📊 Progress Tracking

```mermaid
gantt
    title TritonForge Q4 2025 & 2026 Roadmap
    dateFormat  YYYY-MM-DD
    section October 2025
    AMD Stability Fix    :2025-10-01, 2025-10-14
    Basic GUI v0.1       :2025-10-07, 2025-10-21
    KernelBench Setup    :2025-10-14, 2025-10-31

    section November 2025
    4+4+2 Architecture   :2025-11-01, 2025-11-14
    GUI v0.5            :2025-11-07, 2025-11-21
    MOE Testing         :2025-11-14, 2025-11-30

    section December 2025
    Qwen3-30B           :2025-12-01, 2025-12-14
    Tool Calling v1     :2025-12-07, 2025-12-21
    GUI v1.0            :2025-12-14, 2025-12-31

    section Q1 2026
    FSDP Integration    :2026-01-01, 2026-02-28
    KernelBench v0.1    :2026-01-15, 2026-03-31
    Tool Calling v2     :2026-02-01, 2026-03-31

    section Q2 2026
    Multi-DSL Support   :2026-04-01, 2026-05-31
    70B+ Models         :2026-04-15, 2026-06-30
    Enterprise Features :2026-05-01, 2026-06-30
```

---

🌟 **Let's build the future of automated kernel optimization together!**

Team	Focus Area	Size	Lead
Infrastructure	Architecture, scaling	3	TBD
Backend	SLIME, Megatron, FSDP	2	TBD
Models	MOE, large-scale training	2	TBD
Agent	Tool calling, intelligence	3	TBD
Compiler	Multi-DSL, kernels	2	TBD
Frontend	GUI, visualization	2	TBD
QA/Benchmark	Testing, KernelBench	2	TBD

[ROADMAP] 🚀 TritonForge ROADMAP - Q4 2025 & Beyond #2

Description

🚀 TritonForge ROADMAP - Q4 2025 & Beyond

📋 Executive Summary

🎯 Core Objectives

📊 Task Breakdown

1️⃣ Infrastructure & Architecture

2️⃣ Model & Training Advances

3️⃣ Kernel Agent Intelligence

4️⃣ Multi-DSL Support

5️⃣ Monitoring & Visualization

📈 Success Criteria

Performance Metrics

Scale Metrics

Quality Metrics

📅 Monthly Milestones - Q4 2025

🟢 October 2025 - Foundation & Quick Wins

🟡 November 2025 - Scaling & Optimization

🔴 December 2025 - Advanced Features

🎯 2026 Roadmap - Priority Based

Q1 2026 - Core Enhancements

Q2 2026 - Production Features

🔄 Dependencies & Risks

External Dependencies

Technical Risks

Mitigation Strategies

👥 Team Allocation

💬 Discussion Points

📝 Action Items

🔗 Related Issues

💡 Community Input

📊 Progress Tracking

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

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