Ambient has developed a Layer 1 blockchain that replaces conventional proof-of-work hashing with verified artificial intelligence inference, creating a network where miners perform AI tasks in exchange for processing opportunities.
The blockchain uses a mechanism called Proof of Logits, or PoL, to cryptographically verify AI inference results. Rather than requiring miners to solve conventional hashing problems, Ambient directs them to process AI queries submitted through an onchain auction system. The project said its public API has already handled more than 134 billion tokens.
The approach seeks to address a growing challenge in AI infrastructure: determining whether an output was genuinely generated by a specified model using the claimed inputs. Ambient’s PoL system is designed to verify that inference was performed correctly and that the resulting output has not been fabricated or altered.
Ambient’s core innovation replaces traditional proof-of-work computation with verifiable AI inference, allowing blockchain miners to contribute useful computational work while creating an onchain record of the resulting tasks.
Competitive marketplace for AI inference
Ambient’s network currently supports large open-weight AI models, including GLM 5.2 and Kimi K2.7 Code, while targeting models with more than 600 billion parameters.
AI queries are submitted through a competitive bidding process in which miners compete based on factors such as price and processing speed. The auction-based structure is intended to create a marketplace where inference providers compete to fulfill requests while the blockchain records the associated activity.
By placing inference and settlement on-chain, the system is designed to maintain a verifiable record of which miner processed a request and whether the resulting computation passed the network’s verification process.
This structure could provide developers and businesses with an alternative to conventional centralized AI services, particularly for applications requiring greater transparency around how inference is performed.
SVM compatibility targets high throughput
Ambient is compatible with the Solana Virtual Machine, allowing it to use an execution environment familiar to developers building within the Solana ecosystem. The network is targeting approximately 65,000 transactions per second, reflecting the high throughput requirements of an AI inference marketplace.
The architecture is intended to support a large volume of AI requests while maintaining on-chain settlement and verification. That combination could become increasingly relevant as AI applications demand greater access to computing resources and organizations seek alternatives to centralized inference providers.
Founded in 2025 by Travis Good, Ambient has progressed from its initial concept through testnet development to a live environment with an operational public API.
Decentralized AI infrastructure without a native token
Ambient’s proposition centers on three areas where centralized AI services can face limitations: censorship resistance, privacy, and vendor dependence.
The decentralized model distributes inference workloads among independent miners rather than concentrating processing within a single provider. The use of open-weight models is also intended to reduce reliance on proprietary AI platforms and their associated access restrictions.
By distributing AI inference across independent miners and using cryptographic verification, Ambient aims to provide developers with an alternative infrastructure model that reduces dependence on a single centralized AI provider.
Another notable feature is the project’s reported lack of a native cryptocurrency token. Unlike many blockchain projects that introduce tokens as part of their economic model, Ambient appears to be emphasizing infrastructure and service usage instead.
The model suggests that the project could generate revenue through API consumption and inference services rather than relying primarily on token appreciation. That approach may also make the network more closely aligned with enterprise infrastructure models, where customers pay for computing or API access.
Ambient has raised $7.2 million in seed funding from a16z’s Crypto Startup Accelerator, Delphi Digital and Amber Group. The funding provides capital as the company develops its blockchain infrastructure, expands supported AI models, and works toward broader adoption of decentralized inference.
The project ultimately seeks to turn AI computation into economically useful blockchain work, combining decentralized infrastructure, cryptographic verification, and a competitive inference marketplace in a single Layer 1 network.