Exchange Ranking
Top Exchanges
24h Volume Ranking
Popularity Ranking
Exchange BTC Balance
Proof of Reserves
Decentralized Exchanges
Funding Rate
Funding Heatmap
Liquidation Data
Max Pain
Long/Short Ratio
Whale L/S Ratio
Binance/Okex/Huobi L/S
Bitfinex Margin L/S
ETF Tracker
Solana ETF
XRP ETF
Hong Kong ETF
Bitcoin Treasuries
Crypto Reversal
Ethereum Reserves
HyperLiquid Wallet Analysis
Hyperliquid Whale Watch
Large Transactions
On-chain Movement
Bitcoin ROI
Stablecoin Market Cap
Options Analysis
News
Articles
Economic Calendar
Features
Wallet
Contract Calculator
Security
Collections
Watchlist
Following
BTC Gimlet Labs completes US$300 million in Series B financing, with a valuation of US$3 billion.
On Friday, Gimlet Labs, an AI startup that was only two years old, announced that it has completed a US$300 million Series B financing led by Andreessen Horowitz. The company's valuation jumped to US$3 billion.
Core Points
- Gimlet Labs completed a $300 million Series B financing led by Andreessen Horowitz, with a valuation of $3 billion.
- The platform is capable of routing AI inference workloads to hardware from six chip manufacturers: Nvidia, AMD, Intel, Arm, Cerebras and d-Matrix.
- Previously, a bitcoin mining company transformed into AI cloud infrastructure completed US$3 billion in financing last month, with a valuation of US$30 billion.
- Gimlet has not disclosed its customer number or revenue data.
Build the industry's first multi-silicon inference cloud platform
This round of financing will be used to support what Gimlet calls "the industry's first multi-silicon inference cloud platform." According to official information, the platform can dynamically allocate AI inference workloads to chips from six manufacturers including Nvidia, AMD, Intel, Arm, Cerebras and d-Matrix. Through the software layer, you can write inference code once, and you can route tasks to the most suitable chip based on real-time cost or speed advantages. This mechanism is designed to help customers get rid of dependence on a single supplier and avoid being locked into a specific technology ecosystem.
The business logic behind valuation
This valuation puts Gimlet among the few AI infrastructure companies that do not design their own chips but have valuations of billions of dollars. Gimlet's core argument is that the development model of "Agent AI"-in which systems are able to cascade multiple inference steps, invoke external tools, and perform operations without human approval-results in computing requirements switching unpredictably between short-term bursts of traffic and long-term inference chains.
In this scenario, a single chip architecture often wastes resources on steps that it is not specialized in. Therefore, Gimlet's product philosophy is to override all chips, rather than betting on a particular architecture. It is this strategic positioning that supports its US$3 billion valuation base.
The financing boom in AI infrastructure is not an isolated case
Gimlet's financing follows several other rounds of large AI infrastructure financing this year. Recently, a company that transformed from Bitcoin mining to AI cloud infrastructure provider completed a $3 billion financing last month, pushing its valuation to $30 billion. This marks the rapid shift of capital from traditional mining equipment to GPU clusters. In contrast, Gimlet's valuation is about one-tenth of that figure, which also reflects the gap in the scale of financing between the two.
Multi-chip strategy still needs market verification
Currently, Gimlet has not disclosed the specific number of customers or revenue. The $3 billion valuation is based more on expectations of future demand than current actual revenue. In addition, the model faces structural risks: It relies heavily on partners such as Nvidia, AMD, Intel and Cerebras to continue to allow third-party chip orchestration rather than build this level itself. If any of the six partners above withdraws access, Gimlet's promise of "ubiquitous" operations will lose important support.
