Key Points
Cerebras Systems utilizes a unique wafer-scale chip design to accelerate massive AI training workloads.
Nebius Group offers a high-growth AI cloud platform that provides localized infrastructure for specialized industries.
Which specialized AI player deserves a spot in your 2026 portfolio?
As artificial intelligence hardware demand surges, investors face a choice between specialized chip designers and infrastructure providers. Choosing between Cerebras Systems (NASDAQ:CBRS) and Nebius Group (NASDAQ:NBIS) requires balancing hardware innovation against cloud scaling.
Cerebras offers massive wafer-scale processors designed for rapid AI training, while Nebius provides a full-stack cloud platform for model deployment. Both companies are scaling quickly to capture a share of the expanding AI infrastructure market, but they approach the opportunity from different angles within the tech ecosystem, offering distinct ways to play the AI trend.
The case for Cerebras Systems
Cerebras Systems builds the Wafer Scale Engine, which is a single processor the size of a silicon wafer for those following semiconductor stocks. This massive chip aims to simplify AI training by keeping data on-chip, serving clients in medical research, cryptography, and energy sectors. Because its hardware is highly specialized, it targets organizations requiring massive computational power for complex agentic AI tasks that traditional chips might struggle to handle efficiently.
In its latest annual report, filed for FY 2025, revenue reached nearly $510.0 million, representing a significant 75.7% increase over the previous year. The company reported a net income of approximately $237.8 million for the period, resulting in a net margin of roughly 46.6%. This performance marks a significant turnaround from FY 2024, when it reported a net loss of more than $481.6 million on revenue of roughly $290.3 million.
According to its latest balance sheet, dated December 2025, the debt-to-equity ratio is -0.5x, which means its total liabilities exceed its shareholder equity. The current ratio, which measures a company's ability to cover short-term debts with short-term assets, is roughly 2.1x. Free cash flow, or the cash left after capital spending, was negative $392.8 million for the fiscal year ended in 2025.
The case for Nebius Group
Nebius Group operates as an AI-centric cloud provider, offering a unified platform for model training and production runtime. Its business model focuses on providing the GPU-heavy infrastructure needed by start-ups and enterprises in life sciences and financial services. By offering a localized cloud alternative, it aims to compete with larger hyperscalers by specializing in AI-specific workloads that require dense compute clusters.
In its latest annual report, filed for FY 2025, revenue reached approximately $529.8 million, showing explosive growth of nearly 350.9% year over year. The company generated a net income of roughly $101.7 million during this period, resulting in a net margin of nearly 19.2%. This performance follows a net loss of over $641.4 million in FY 2024, reflecting the rapid scaling of its cloud services as demand for AI training capacity accelerated.
As of its December 2025 balance sheet, the debt-to-equity ratio is roughly 1.1x, indicating that total debt is slightly higher than shareholder equity. Its current ratio is approximately 3.1x, suggesting a strong ability to meet immediate financial obligations with its existing assets. Note that stock-based compensation represented roughly 21.6% of operating cash flow, which inflates reported cash generation since SBC is a non-cash expense added back in the cash flow statement. Free cash flow was negative $3.7 billion for the year.
Risk profile comparison
Cerebras Systems faces significant competition from established chipmakers like Nvidia and Advanced Micro Devices. Since its hardware is proprietary and unique, it must convince developers to adopt a specialized software stack rather than industry-standard platforms. High capital requirements for chip fabrication and a limited customer base also present concentration risks for the business.
Nebius Group competes against massive cloud providers like Amazon and Microsoft, which possess significantly deeper pockets and larger existing customer bases. The company must sustain high levels of capital expenditure to maintain its GPU fleets, which contributes to substantial negative free cash flow. Additionally, its history as part of an international organization may bring complex regulatory or organizational integration hurdles.
Valuation comparison
Nebius offers a lower entry point based on Forward P/E, while Cerebras carries a higher P/S ratio based on sales over the past twelve months.
| Metric | Cerebras Systems | Nebius Group |
|---|---|---|
| Forward P/E | 217.4x | 46.1x |
| P/S ratio | 61.1x | 42.0x |
Valuation metrics include sourcing from Financial Modeling Prep (FMP) and may differ from other data providers.
Which stock would I buy in 2026?
I'd go with Nebius. The company reported extraordinary Q2 revenue growth of over 400% year over year, driven by surging global demand for AI cloud infrastructure. Customers are competing for GPU capacity faster than Nebius can supply it, Nvidia has taken a significant stake in the business, and the full-year outlook was reaffirmed after beating estimates. A partnership model where third parties finance the physical infrastructure keeps capital requirements more manageable than building everything from scratch.
Cerebras has built chip architecture that delivers AI training speeds most competitors cannot match, and partnerships with OpenAI and AWS signal serious institutional interest. But the stock has fallen more than 50% from its post-IPO peak, partly because recent reports indicated OpenAI chose Nvidia hardware over Cerebras for its newest product. When your most high-profile customer appears to be moving toward a competitor, that raises questions about the durability of the revenue pipeline.
Nebius is generating positive adjusted EBITDA while growing at a remarkable pace. That combination looks like the stronger starting point for a long-term investment.
Sara Appino has positions in Amazon and Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Amazon, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.