Cerebras Systems specializes in massive wafer-scale AI chips designed to handle the heavy computational demands of large language models.
Innodata provides the data engineering and human-in-the-loop expertise required to train and evaluate generative AI systems.
Which AI infrastructure provider is the better addition to your portfolio?
As the artificial intelligence revolution shifts from hype to implementation, investors are weighing hardware providers against data services firms. Choosing between Cerebras Systems (NASDAQ:CBRS) and Innodata (NASDAQ:INOD) requires understanding two distinct parts of the AI stack.
Cerebras focuses on the physical infrastructure by manufacturing the world's largest processors for AI training and inference. Innodata serves as the human layer, helping large technology companies clean and structure the data that feeds those chips. Both companies are seeing rapid growth as enterprises rush to build out their AI capabilities.
Cerebras Systems specializes in wafer-scale AI hardware designed to accelerate artificial intelligence training and inference. Within the world of semiconductor stocks, its massive Wafer-Scale Engine is built to handle heavy computational demands by keeping entire models on a single chip. The company serves global data centers and provides cloud-based access to its hardware through a pay-as-you-go model. This strategy aims to provide an alternative to traditional GPU setups for enterprises and researchers.
In FY 2025, revenue reached nearly $510.0 million, representing a growth of roughly 75.7% compared to the previous year. This performance follows a strong upward trend from approximately $290.3 million in 2024. The company reported net income of approximately $237.8 million for the period. This resulted in a net margin, which measures how much profit a company keeps from its sales, of nearly 46.6%.
As of its December 2025 balance sheet, the company reported a debt-to-equity ratio of approximately -0.5x. This ratio, which measures total debt against shareholder equity, indicates that total liabilities exceed shareholder equity. Its current ratio, which measures the ability to pay short-term debts with current assets, was nearly 2.1x. Free cash flow, calculated as cash flow from operations minus capital expenditures, was a loss of nearly $392.8 million.
Innodata is a global data engineering company that provides human expertise and evaluation frameworks for AI systems. It serves AI builders by structuring and labeling the data required to train large language models. In its latest filings, the company disclosed that one customer accounted for nearly 58% of total revenue in FY 2025. Customer concentration like this adds a layer of risk to the business. It also maintains specialized platforms for medical records and media intelligence.
In FY 2025, revenue reached nearly $251.7 million, which is an increase of approximately 47.6% over the previous year. This growth continues a trajectory from nearly $170.5 million in 2024. The company reported net income of approximately $32.2 million for the year. Its net margin, representing the percentage of revenue remaining after all expenses, was roughly 12.8%.
As of its December 2025 balance sheet, the debt-to-equity ratio was 0.0x, indicating a very low level of total debt relative to shareholder equity. Its current ratio, which measures short-term liquidity, was approximately 2.7x. Free cash flow reached nearly $35.6 million during the period. Note that stock-based compensation represented roughly 23.8% of operating cash flow, which inflates reported cash generation since SBC is a non-cash expense added back in the cash flow statement.
Cerebras faces risks typical of the highly competitive hardware industry, where rapid innovation can quickly make technology obsolete. The company must invest heavily in research and development to maintain its technological edge against much larger competitors. It also faces challenges in scaling its unique wafer-scale manufacturing process. Managing a global supply chain and international workforce also introduces operational complexity and potential geopolitical risks.
Innodata faces significant risk from revenue concentration, with a majority of its sales tied to a single major customer. It also competes in a crowded market against firms like Microsoft (NASDAQ:MSFT), Amazon (NASDAQ:AMZN), and Accenture (NYSE:ACN). The company is currently managing a 2024 putative securities class action lawsuit regarding its AI disclosures. Furthermore, its global workforce in countries like the Philippines and India exposes it to wage inflation and shifting labor regulations.
Innodata currently trades at a significantly lower valuation than Cerebras Systems based on both future earnings estimates and sales over the past twelve months.
| Metric | Cerebras Systems | Innodata |
|---|---|---|
| Forward P/E | 137.9x | 58.3x |
| P/S ratio | 59.7x | 7.4x |
Valuation metrics include sourcing from Financial Modeling Prep (FMP) and may differ from other data providers.
I'd go with Innodata. While Cerebras grabs headlines with wafer-scale chips and a $20 billion OpenAI compute deal, Innodata has spent 12 consecutive quarters doing something harder to find in AI: Growing consistently and becoming more profitable along the way.
Cerebras has built a chip architecture that delivers AI training speeds most competitors cannot match, and partnerships with OpenAI and AWS signal serious institutional confidence in what it is building. But the stock has fallen more than 30% since its IPO despite strong revenue growth, partly because the company is spending heavily to scale its cloud infrastructure, which is squeezing profits in the short term.
Innodata's customer base is broadening in ways that address its longest-standing vulnerability. The largest customer now makes up a noticeably smaller share of revenue than just one quarter ago, and a major frontier AI lab signed on as a new customer in the most recent quarter. For a patient investor, Innodata's consistent execution and improving business quality make it the more comfortable place to put your money right now.
Before you buy stock in Cerebras Systems, consider this:
The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Cerebras Systems wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.
Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $361,650!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,437,517!*
Now, it’s worth noting Stock Advisor’s total average return is 936% — a market-crushing outperformance compared to 213% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
See the 10 stocks »
*Stock Advisor returns as of October 4, 2026.
Sara Appino has positions in Amazon. The Motley Fool has positions in and recommends Accenture Plc, Amazon, Innodata, and Microsoft. The Motley Fool recommends the following options: long January 2028 $260 calls on Accenture Plc and short January 2028 $280 calls on Accenture Plc. The Motley Fool has a disclosure policy.