GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
HIPFire is an RDNA-native LLM inference engine in Rust, specifically optimized for AMD GPUs using ROCM.
Good fit when
- You are working with AMD GPUs and want to optimize your inference tasks with machine learning models on these specific hardware setups.
- Your project requires low-level optimizations that leverage the capabilities of RDNA architecture directly through Rust, ensuring efficient execution on AMD GPU infrastructure.
Avoid when
- If you primarily use NVIDIA GPUs or any other non-AMD GPU type for your machine learning inference tasks, HIPFire may not provide optimized results due to its specialization in RDNA architecture.
- Your environment does not support ROCM software stack; HIPFire requires this infrastructure to function optimally in conjunction with AMD RDNA GPUs.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add hipfire crates.ioSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool for RDNA-native machine learning inference optimized for AMD GPUs using Rust and ROCM.
Capability facts
- Languages
- rust
Source: github.language · Sep 20, 2026
Categories
Tags
README
Install Linux with ROCm 6 or newer: RDNA4 requires ROCm 6.4 or newer. gfx1151 requires ROCm 7.2 or newer. Run for a concise build ID or to compare the installed binary, managed source checkout, and daemon. Managed Linux installs can switch revisions with , , or . To uninstall a m...
For agents
This page has a .md twin and JSON over the API.