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Platforms

Metrum AI Bench CLI is a client. It runs on your measurement host and talks to whatever OpenAI-compatible endpoint you point it at. Server hardware support is therefore “whatever your serving stack exposes,” not a Bench-managed accelerator matrix.


Client install targets

PathPlatforms
GitHub Release binariesLinux x86_64 / aarch64 *-unknown-linux-gnu (glibc 2.17 floor); macOS Darwin x86_64 / aarch64
From sourceRust 1.85+ on a host that can build the crate
HomebrewOptional formula metrum-ai-bench.rb attached to releases when tap publish is configured

Not shipped as release targets:

  • musl / Alpine-style static Linux archives
  • OpenSSL-linked builds (TLS is rustls)
  • Windows - no release archives. Building from source on Windows may work for development but is not a supported or smoke-tested install path for 1.0.

Verify release archives with the published .sha256 and optional Sigstore bundle before unpacking.

Optional Cargo features

FeatureIn GitHub Release binaries?Purpose
otlpYes (--features otlp)Strategic OpenTelemetry export (--otlp-endpoint)
tokenizerNoLocal --tokenizer counts; build from source with --features tokenizer

Build and test prerequisites

ToolWhen needed
Rust 1.85+Source builds and cargo test
Go 1.26.6+ (matches dummy-model-server/go.mod and CI)Dummy model server and its tests
Network / Hugging Face HubPrompt-library extracts (unless using --local-jsonl / --local-parquet / --offline)

Smoke and publication matrix

Published smoke results in the repository (docs/SMOKE_RESULTS.md) are NVIDIA-only. AMD Instinct coverage is in progress. No comparative vendor results are published there.

Fleet-wide comparison, history, and attestation are Platform concerns, not this OSS client. One Bench process drives one endpoint or one configured pool.


Security notes for shared hosts

  • Do not put credentials in endpoint files committed to source control.
  • Run summaries may record client environment.hostname. Use --redact-hostname (or --require-sut, which implies redaction) when publishing or sharing logs.