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hipfire

Kaden-Schutt/hipfire

RDNA-native LLM inference engine in Rust

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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632 stars76 forksLast push Sep 20, 2026 Rust Other

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.io

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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

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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...

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