TensorWave

TensorWave is a Las Vegas-headquartered AI cloud provider that builds and operates bare-metal GPU infrastructure exclusively on AMD Instinct accelerators (MI300X, MI325X, MI355X and MI455X) with AMD's open ROCm software stack. The company sells dedicated GPU nodes, high-speed network storage, and managed Slurm and Kubernetes clusters for AI model training, fine-tuning and inference, with observability, job scheduling, alerting and expert support layered on top. Access to the compute platform itself is delivered over SSH, Slurm and Kubernetes rather than a public REST control-plane API. TensorWave's public API surface is ScalarLM, the CC0-licensed unified training-and-inference stack it maintains and sponsors alongside RelationalAI, which exposes an OpenAI-compatible inference endpoint backed by vLLM together with a Megatron-LM training surface from a single deployment.

TensorWave publishes 5 API contracts indexed on the APIs.io network, including Generate API, Health API, Open AI API, and 2 more. Tagged areas include Company, Artificial Intelligence, Machine Learning, Cloud Computing, and GPU.

TensorWave’s developer surface includes documentation, getting-started guide, support, engineering blog, CLI, changelog, and 23 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

48.1/100 developing ▬ flat Agent 26/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

AccessOpen

1 published contract

Company Artificial Intelligence Machine Learning Cloud Computing GPU Infrastructure Inference Model Training High Performance Computing Data Center

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

GenerateOpenAITraining

POST /v1/megatron/train GET /v1/megatron/train/{job_hash} GET /v1/megatron/train/{job_hash}/checkpoints POST /v1/megatron/train/{job_hash}/publish

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 48.1/100 · developing

Contract Quality 8.2 / 19

Developer Ergonomics 11.0 / 15

Access Clarity 5.5 / 15

Operational Transparency 2.8 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 4.9 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/tensorwave: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Data Center Tier Certification (facility certification, open hardware, efficiency bodies)	undeclared	-	-	1

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

The OpenAI Interface reaches extended

declared — publishes a spec that declares them

2 core of 338 operations graded · api-commons/models

APIs 5

Individual APIs this provider publishes, each with its own machine-readable definition.

TensorWave Generate API

Queue-backed batch inference and worker coordination.

TensorWave Health API

Health checks, service logs and metrics.

TensorWave Open AI API

OpenAI-compatible inference endpoints proxied to vLLM.

TensorWave Slurm API

Slurm scheduler status and job control.

TensorWave Training API

Megatron-LM training jobs, chunked dataset upload, checkpoints and Hugging Face publishing.

Open Collections 5

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

ScalarLM Generate API

OPEN COLLECTION

ScalarLM Health API

OPEN COLLECTION

ScalarLM Open AI API

OPEN COLLECTION

ScalarLM Slurm API

OPEN COLLECTION

ScalarLM Training API

OPEN COLLECTION

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Tensorwave Scalarlm Overlay

14 actions · update · tensorwave-scalarlm-openapi.yml

DERIVED

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Tensorwave Authentication

0 schemes

SECURITY

Tensorwave Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Tensorwave Vulnerability Disclosure

Hackerone · contact published

SECURITY

Tensorwave Trust Center

SOC 2, ISO 27001, HIPAA

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

Compliance

Security

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

Operate 5

Status, limits, changes, and where to get help

IssueTracker

Releases

Support

Contact

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

Source (apis.yml)

aid: tensorwave
name: TensorWave
description: TensorWave is a Las Vegas-headquartered AI cloud provider that builds and operates bare-metal GPU infrastructure
  exclusively on AMD Instinct accelerators (MI300X, MI325X, MI355X and MI455X) with AMD's open ROCm software stack. The company
  sells dedicated GPU nodes, high-speed network storage, and managed Slurm and Kubernetes clusters for AI model training,
  fine-tuning and inference, with observability, job scheduling, alerting and expert support layered on top. Access to the
  compute platform itself is delivered over SSH, Slurm and Kubernetes rather than a public REST control-plane API. TensorWave's
  public API surface is ScalarLM, the CC0-licensed unified training-and-inference stack it maintains and sponsors alongside
  RelationalAI, which exposes an OpenAI-compatible inference endpoint backed by vLLM together with a Megatron-LM training
  surface from a single deployment.
url: https://raw.githubusercontent.com/api-evangelist/tensorwave/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - tensorwavecloud/scalarlm
  open_source: unknown
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - openapi
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: open
  trial: false
  try_now: false
  public: true
  label: Open access
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-02'
  method: derived
image: https://cdn.builder.io/api/v1/image/assets%2Ff941d509b8ea45f8972dd215996c7055%2Fdb1d4443bf134999962dbc3ab17eb3e6
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-08-02'
modified: '2026-08-02'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Cloud Computing
- GPU
- Infrastructure
- Inference
- Model Training
- High Performance Computing
- Data Center
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Cloud Computing
- GPU
- Infrastructure
- Inference
- Model Training
- High Performance Computing
- Data Centers
- Machine-Learning
- Data-Center
apis:
- aid: tensorwave:tensorwave-generate-api
  name: TensorWave Generate API
  description: Queue-backed batch inference and worker coordination.
  humanURL: https://www.scalarlm.com/docs/
  baseURL: https://gpt-oss.cray-lm.com
  tags:
  - Generate
  properties:
  - type: OpenAPI
    url: openapi/tensorwave-generate-api-openapi.yml
  - type: Documentation
    url: https://www.scalarlm.com/docs/
  - type: APIReference
    url: https://www.scalarlm.com/inference/
  - type: GettingStarted
    url: https://www.scalarlm.com/quick-start/
  - type: SourceCode
    url: https://github.com/tensorwavecloud/ScalarLM
  - type: Authentication
    url: authentication/tensorwave-authentication.yml
  - type: Conventions
    url: conventions/tensorwave-conventions.yml
  - type: ErrorCatalog
    url: errors/tensorwave-problem-types.yml
  - type: DataModel
    url: data-model/tensorwave-data-model.yml
- aid: tensorwave:tensorwave-health-api
  name: TensorWave Health API
  description: Health checks, service logs and metrics.
  humanURL: https://www.scalarlm.com/docs/
  baseURL: https://gpt-oss.cray-lm.com
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/tensorwave-health-api-openapi.yml
  - type: Documentation
    url: https://www.scalarlm.com/docs/
  - type: APIReference
    url: https://www.scalarlm.com/inference/
  - type: GettingStarted
    url: https://www.scalarlm.com/quick-start/
  - type: SourceCode
    url: https://github.com/tensorwavecloud/ScalarLM
  - type: Authentication
    url: authentication/tensorwave-authentication.yml
  - type: Conventions
    url: conventions/tensorwave-conventions.yml
  - type: ErrorCatalog
    url: errors/tensorwave-problem-types.yml
  - type: DataModel
    url: data-model/tensorwave-data-model.yml
- aid: tensorwave:tensorwave-openai-api
  name: TensorWave Open AI API
  description: OpenAI-compatible inference endpoints proxied to vLLM.
  humanURL: https://www.scalarlm.com/docs/
  baseURL: https://gpt-oss.cray-lm.com
  tags:
  - OpenAI
  properties:
  - type: OpenAPI
    url: openapi/tensorwave-openai-api-openapi.yml
  - type: Documentation
    url: https://www.scalarlm.com/docs/
  - type: APIReference
    url: https://www.scalarlm.com/inference/
  - type: GettingStarted
    url: https://www.scalarlm.com/quick-start/
  - type: SourceCode
    url: https://github.com/tensorwavecloud/ScalarLM
  - type: Authentication
    url: authentication/tensorwave-authentication.yml
  - type: Conventions
    url: conventions/tensorwave-conventions.yml
  - type: ErrorCatalog
    url: errors/tensorwave-problem-types.yml
  - type: DataModel
    url: data-model/tensorwave-data-model.yml
- aid: tensorwave:tensorwave-slurm-api
  name: TensorWave Slurm API
  description: Slurm scheduler status and job control.
  humanURL: https://www.scalarlm.com/docs/
  baseURL: https://gpt-oss.cray-lm.com
  tags:
  - Slurm
  properties:
  - type: OpenAPI
    url: openapi/tensorwave-slurm-api-openapi.yml
  - type: Documentation
    url: https://www.scalarlm.com/docs/
  - type: APIReference
    url: https://www.scalarlm.com/inference/
  - type: GettingStarted
    url: https://www.scalarlm.com/quick-start/
  - type: SourceCode
    url: https://github.com/tensorwavecloud/ScalarLM
  - type: Authentication
    url: authentication/tensorwave-authentication.yml
  - type: Conventions
    url: conventions/tensorwave-conventions.yml
  - type: ErrorCatalog
    url: errors/tensorwave-problem-types.yml
  - type: DataModel
    url: data-model/tensorwave-data-model.yml
- aid: tensorwave:tensorwave-training-api
  name: TensorWave Training API
  description: Megatron-LM training jobs, chunked dataset upload, checkpoints and Hugging Face publishing.
  humanURL: https://www.scalarlm.com/docs/
  baseURL: https://gpt-oss.cray-lm.com
  tags:
  - Training
  properties:
  - type: OpenAPI
    url: openapi/tensorwave-training-api-openapi.yml
  - type: Documentation
    url: https://www.scalarlm.com/docs/
  - type: APIReference
    url: https://www.scalarlm.com/inference/
  - type: GettingStarted
    url: https://www.scalarlm.com/quick-start/
  - type: SourceCode
    url: https://github.com/tensorwavecloud/ScalarLM
  - type: Authentication
    url: authentication/tensorwave-authentication.yml
  - type: Conventions
    url: conventions/tensorwave-conventions.yml
  - type: ErrorCatalog
    url: errors/tensorwave-problem-types.yml
  - type: DataModel
    url: data-model/tensorwave-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: CapabilityMap
  url: capabilities/tensorwave-capability-edges.yml
  name: TensorWave Business Capability Map
- type: IssueTracker
  url: https://github.com/tensorwavecloud/ScalarLM/issues
- type: Releases
  url: https://github.com/tensorwavecloud/ScalarLM/releases
- type: AgentSkill
  url: skills/tensorwave-batch-inference.md
- type: X-MCPServerCandidate
  url: mcp/tensorwave-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Overlay
  url: overlays/tensorwave-scalarlm-overlay.yaml
- type: TrustCenter
  url: security/tensorwave-trust-center.yml
- type: Website
  url: https://tensorwave.com/
- type: DeveloperPortal
  url: https://docs.tensorwave.com/
- type: Documentation
  url: https://docs.tensorwave.com/
- type: GettingStarted
  url: https://docs.tensorwave.com/welcome-to-tensorwave/bare-metal-quickstart
- type: Support
  url: https://docs.tensorwave.com/support/filing-support-tickets
- type: Blog
  url: https://tensorwave.com/blog
- type: GitHubOrganization
  url: https://github.com/tensorwavecloud
- type: TermsOfService
  url: https://tensorwave.com/terms
- type: PrivacyPolicy
  url: https://tensorwave.com/privacy
- type: Compliance
  url: https://security.tensorwave.com/
- type: Security
  url: https://security.tensorwave.com/
- type: Contact
  url: https://tensorwave.com/connect
- type: LLMsTxt
  url: llms/tensorwave-llms.txt
- type: Packages
  url: packages/tensorwave-packages.yml
- type: SDKs
  url: packages/tensorwave-packages.yml
- type: CLI
  url: cli/tensorwave-cli.yml
- type: WellKnown
  url: well-known/tensorwave-well-known.yml
- type: Conformance
  url: conformance/tensorwave-conformance.yml
- type: Lifecycle
  url: lifecycle/tensorwave-lifecycle.yml
- type: ChangeLog
  url: changelog/tensorwave-changelog.yml
- type: DomainSecurity
  url: security/tensorwave-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/tensorwave-vulnerability-disclosure.yml
x-enrichment:
  date: '2026-08-02'
  status: enriched
  artifacts_added: 21
  pass: local-v1

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