Roadmap¶

GPUX development roadmap and future plans.

Vision¶

Make GPU-accelerated ML inference universal, simple, and accessible to everyone.

Current Release: v0.2.0¶

✅ Core Features - Universal GPU compatibility - Docker-like CLI - ONNX Runtime integration - HTTP serving - Comprehensive documentation

Upcoming Releases¶

v0.2.0 - Enhanced Providers (Q1 2025)¶

Execution Providers - [ ] WebGPU support for browsers - [ ] Vulkan backend - [ ] Metal Performance Shaders (Apple) - [ ] SYCL support (Intel oneAPI)

Performance - [ ] Dynamic batching - [ ] Model caching - [ ] Quantization pipeline - [ ] Mixed precision support

v0.3.0 - Advanced Features (Q2 2025)¶

Model Management - [ ] Model registry - [ ] Version management - [ ] A/B testing support - [ ] Canary deployments

Monitoring - [ ] Prometheus metrics - [ ] OpenTelemetry integration - [ ] Performance profiling - [ ] Request tracing

v0.4.0 - Enterprise Features (Q3 2025)¶

Security - [ ] Authentication (API keys, OAuth) - [ ] Model encryption - [ ] Secure model storage - [ ] Audit logging

Scaling - [ ] Multi-GPU support - [ ] Distributed inference - [ ] Load balancing - [ ] Auto-scaling

v1.0.0 - Production Ready (Q4 2025)¶

Stability - [ ] Production hardening - [ ] Comprehensive testing - [ ] Performance benchmarks - [ ] Security audit

Documentation - [ ] Enterprise deployment guide - [ ] Video tutorials - [ ] Case studies - [ ] Best practices

Feature Requests¶

Most Requested¶

WebGPU Support - Run in browsers
Multi-GPU - Distribute across GPUs
Model Registry - Centralized model management
gRPC API - Alternative to HTTP
Streaming Inference - Real-time streaming

Under Consideration¶

Kubernetes operator
Cloud marketplace images (AWS, GCP, Azure)
GUI dashboard
CLI plugins system
Model compilation optimizations

Platform Support¶

Current¶

✅ Linux (x86_64, ARM64)
✅ macOS (Intel, Apple Silicon)
✅ Windows (x86_64)

Planned¶

Android (via Termux)
iOS (via Pythonista)
Raspberry Pi optimization
NVIDIA Jetson optimization

Community Priorities¶

Vote on features: - GitHub Discussions - Feature Requests

How to Contribute¶

Help shape the roadmap:

Share Use Cases - Tell us how you use GPUX
Vote on Features - Upvote issues you care about
Submit PRs - Implement features
Provide Feedback - Share experiences

See Contributing Guide for details.

Release Schedule¶

Minor releases: Every 3 months
Patch releases: As needed
Major releases: Annually

Long-Term Goals¶

2025¶

Become the standard for ML inference
Support all major GPU platforms
10,000+ GitHub stars
Enterprise adoption

2026¶

Cloud marketplace presence
Managed GPUX service
100,000+ deployments
Large-scale production usage

Last Updated: October 2024

For latest updates, see Changelog.