d-Matrix

d-Matrix builds ultra-low-latency, energy-efficient AI inference infrastructure for generative AI in the datacenter. Its memory-centric compute architecture, next-generation I/O, and stacked-DRAM approach are delivered through the Corsair inference accelerator (chiplet-based, supporting models up to 100B parameters), the JetStream accelerator-to-accelerator communications platform, the SquadRack disaggregated rack-scale solution, and the 3DIMC 3D digital in-memory compute technology. Founded by Sid Sheth and Sudeep Bhoja and headquartered in Santa Clara, the company has raised roughly $450M (including a $275M Series C) from investors such as Qatar Investment Authority, Temasek, and SK Hynix. d-Matrix also maintains the open-source dmx-compressor (DMX) PyTorch toolkit for co-designing models to its inference hardware. This API Evangelist network profile tracks d-Matrix as a compute-hardware provider; it does not currently publish a public web API.

d-Matrix is profiled on the APIs.io network. Tagged areas include Company, Compute, Artificial Intelligence, Inference, and Hardware.

d-Matrix’s developer surface includes documentation, engineering blog, support, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

15.1/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Compute Artificial Intelligence Inference Hardware Accelerator Machine-Learning Semiconductors

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 15.1/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Access Clarity 4.2 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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Security Posture 1

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

D Matrix Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

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

Source (apis.yml)

aid: d-matrix
name: d-Matrix
description: d-Matrix builds ultra-low-latency, energy-efficient AI inference infrastructure for generative AI in the datacenter.
  Its memory-centric compute architecture, next-generation I/O, and stacked-DRAM approach are delivered through the Corsair
  inference accelerator (chiplet-based, supporting models up to 100B parameters), the JetStream accelerator-to-accelerator
  communications platform, the SquadRack disaggregated rack-scale solution, and the 3DIMC 3D digital in-memory compute technology.
  Founded by Sid Sheth and Sudeep Bhoja and headquartered in Santa Clara, the company has raised roughly $450M (including
  a $275M Series C) from investors such as Qatar Investment Authority, Temasek, and SK Hynix. d-Matrix also maintains the
  open-source dmx-compressor (DMX) PyTorch toolkit for co-designing models to its inference hardware. This API Evangelist
  network profile tracks d-Matrix as a compute-hardware provider; it does not currently publish a public web API.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.d-matrix.ai/wp-content/uploads/2023/08/d-matrix-logo.svg
url: https://raw.githubusercontent.com/api-evangelist/d-matrix/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- playground-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Compute
- Artificial Intelligence
- Inference
- Hardware
- Accelerator
- Machine-Learning
- Semiconductors
tags_raw:
- Company
- Compute
- AI
- Inference
- Hardware
- Accelerator
- Machine Learning
- Semiconductors
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.d-matrix.ai/
- type: Documentation
  url: https://dmx-compressor.readthedocs.io/en/latest/
- type: Blog
  url: https://www.d-matrix.ai/blog/
- type: GitHubOrganization
  url: https://github.com/d-matrix-ai
- type: Support
  url: https://www.d-matrix.ai/contact/
- type: TermsOfService
  url: https://www.d-matrix.ai/terms-of-use/
- type: PrivacyPolicy
  url: https://www.d-matrix.ai/privacy-policy/
- type: Packages
  url: packages/d-matrix-packages.yml
- type: SDKs
  url: packages/d-matrix-packages.yml
- type: DomainSecurity
  url: security/d-matrix-domain-security.yml
- type: LLMsTxt
  url: llms/d-matrix-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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