Company comparison
Thirty Spokes vs DeepInfra
Radar profile, momentum bars, and stack placement side by side.
Thirty Spokes
Not scored
momentum
DeepInfra
Not scored
momentum
Thirty Spokes capital
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DeepInfra capital
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No radar series.
Momentum head-to-head
Attribute tape
| Field | Thirty Spokes | DeepInfra |
|---|---|---|
| Category | Model optimization and deployment | Model optimization and deployment |
| Stack | Layer 5 | Layer 5 |
| HQ | — | Palo Alto, CA, United States |
| Founded | — | — |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Thirty Spokes is a decentralized AI model router built on Bittensor (Subnet 99) that routes each request to the best-fit frontier model — such as OpenAI, Anthropic, Google, DeepSeek, or Qwen — through a single permissionless gateway. It runs no inference or foundation model of its own; instead, miners compete to build and run the routing agent with hardware-attested proofs of routing quality. | DeepInfra is a managed AI inference cloud that lets developers call open-source and open-weight models via an OpenAI-compatible API, with options for private GPU deployments and GPU rental. It abstracts away GPU infrastructure so teams can serve models in production without standing up their own compute. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Thirty Spokes is a decentralized AI model router built on Bittensor (Subnet 99) that routes each request to the best-fit frontier model — such as OpenAI, Anthropic, Google, DeepSeek, or Qwen — through a single permissionless gateway. It runs no inference or foundation model of its own; instead, miners compete to build and run the routing agent with hardware-attested proofs of routing quality. | DeepInfra is a managed AI inference cloud that lets developers call open-source and open-weight models via an OpenAI-compatible API, with options for private GPU deployments and GPU rental. It abstracts away GPU infrastructure so teams can serve models in production without standing up their own compute. |
