AMEVA-Runtime (Python)

Next-Gen Unified On-Device Hardware Orchestration & 6-Modality AI Acceleration Runtime for Mobile & Edge

Installation

pip install ameva-runtime

Quickstart

import ameva_runtime as ameva
from ameva_runtime import vulkan

# Inspect hardware
profile = ameva.detect_hardware()
print(f"Target: {profile.soc_name} | {profile.gpu_vendor}")

# Run diagnostics
doc = vulkan.Doctor()
report = doc.run_self_test()
print(f"Passed: {report.passed_stages}/{report.total_stages}")

Empirical Benchmarks

Galaxy S25 (Adreno 830): LLM 35.80 t/s (VRAM 25/25 layers), Whisper STT 4,401 ms, TTS RTF 0.264x (medium) / 0.993x (high-fp16).
Galaxy A35 (Mali-G68 MP5): LLM 4.44 t/s (+26.9% vs NEON), Whisper STT 360.60s (2.26x speedup), TTS RTF 1.146x.

Documentation

License

vulkan-compute mobile-gpu hardware-acceleration hardware-abstraction-layer adreno-gpu arm-mali snapdragon-8-elite exynos termux on-device-ai edge-ai tensor-acceleration spir-v compute-shaders zero-silent-fallback llamacpp whisper-cpp sherpa-onnx stable-diffusion vision-language-models bitnet gguf ncnn bionic-loader arm64 aarch64 cgroup-management cpu-neon thermal-throttling power-efficiency smart-router hardware-orchestration multi-modal-ai subgroup-operations gemm-acceleration mobile-vlm speech-to-text text-to-speech image-generation edge-inference unprivileged-userspace termux-wake-lock phantom-process-killer android-ai-runtime valhall-gpu adreno-830 mali-g68 ameva-foundation uno-km open-source-ai

Release files for ameva-runtime 2.3.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ameva-runtime 2.3.4
File	Size	Uploaded
ameva_runtime-2.3.4.tar.gz	60.1 kB	Sep 7, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for ameva-runtime 2.3.4
File	Interpreter	ABI	Platform	Reset
ameva_runtime-2.3.4-py3-none-any.whl 72.2 kB Sep 7, 2026	Python 3	none	any	Details

Total release size: 132.3 kB

Release files / ameva_runtime-2.3.4.tar.gz

Download URL	ameva_runtime-2.3.4.tar.gz
Size	60.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`2cea46502271112ddb9eaf0f4cd110a9bf15ff3b8c6c5f8fcd0c40bc567aa573`
BLAKE2b-256 checksum How to use checksums	`f0a6b0ced35a9eaab23ee8e97487d5a2e9c94a2d88710edff1ebbd5db740c9a4`
Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.11.16`

Release files / ameva_runtime-2.3.4-py3-none-any.whl

Download URL	ameva_runtime-2.3.4-py3-none-any.whl
Size	72.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f7ee8a9ebc2068b4f04f4719fe3b9a503e1439000f290d5be856a057e49cf606`
BLAKE2b-256 checksum How to use checksums	`eef69c0c8b69c9a91778cc793dd64f31612166cea1f95687c87484eb8a63f604`
Upload date	Sep 7, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.11.16`