# Ampere Computing

**Canonical:** https://apis.io/providers/ampere-computing/  
**Website:** https://amperecomputing.com/  
**APIs profiled:** 0

Ampere Computing is a Santa Clara, California semiconductor company founded in 2018 by Renee James and now part of the SoftBank Group. It designs Arm-based Cloud Native Processors — the Ampere Altra and Altra Max families (up to 128 cores) and the flagship AmpereOne family (up to 192 single-threaded cores) — for cloud, AI inference and edge deployments. Alongside the silicon it ships a software stack: Ampere Optimized AI frameworks (PyTorch, TensorFlow, ONNX Runtime, llama.cpp, Ollama) distributed as first-party container images, tuned GCC/glibc/binutils builds, performance and porting tooling, and an arm64 developer community. Ampere publishes no public developer API — its developer program is a hardware, tooling and porting program rather than an API program.

## Kin Score — 16.7 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 16.7).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 15.2 |
| Commercial Clarity | 23.7 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Security (2)

- **Ampere Computing Domain Security** — TLSv1.3 · DMARC
- **Ampere Computing Vulnerability Disclosure** — Hackerone

## Tags

Company, Semiconductors, Processors, Cloud Infrastructure, Arm64, AI Inference, Edge Computing, Compute Hardware, Open Source

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/ampere-computing/). Scores are computed from the provider's own public artifacts under a published rubric.