[ROADMAP] 🚀 TritonForge ROADMAP - Q4 2025 & Beyond #2
Description
🚀 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
- Scale Infrastructure - Move from 4+2+2 to 4+4+2 architecture for enhanced multi-turn training
- Expand Model Support - Enable MOE and 30B+ parameter models
- Intelligent Agent - Integrate tool calling for profiling, search, and documentation
- Universal DSL - Support multiple kernel languages beyond Triton
- 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
-
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
- Parallel Development: Work on independent features simultaneously
- Incremental Rollout: Phase features with fallback options
- 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
- Resource Allocation: Should we prioritize GUI or agent intelligence first?
- Model Strategy: Focus on MOE or scale to 70B+ dense models?
- DSL Priority: Which kernel languages after Triton?
- Deployment Model: SaaS vs on-premise priority?
- 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
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!
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