Investment thesisEquityAI Infrastructure
Cerebras Systems logo

CBRS

Cerebras Systems

A direct, higher-risk expression of the view that agentic AI drives inference demand.

Portfolio weight

1.93%

As of August 20, 2026

The inference thesis

This is a higher-risk direct expression of the agentic-AI thesis. The underlying belief is that widespread deployment of AI agents will materially increase inference demand. Agents run continuously and call models repeatedly, which is a different and larger consumption pattern than occasional human prompting.

Cerebras offers unusually direct exposure to that possibility through an architecture built for fast inference, rather than through a diversified platform where the effect would be diluted. The demand increase is a hypothesis, not an established trend.

Concentration, competition and why this is high-risk

The position is explicitly high-risk. Cerebras competes against NVIDIA, whose software ecosystem is the default for AI workloads, and against hyperscalers designing their own accelerators with guaranteed internal demand. Displacing an entrenched toolchain is much harder than beating it on any single benchmark.

Revenue is also early and concentrated among a small number of customers, so the loss or deferral of one relationship moves reported results substantially. Reported quarters should be read with that fragility in mind rather than extrapolated.

Relative valuation

Valuation updated August 2026

Forward P/E

Not applicable. Not yet profitable.

Direct peers

used in the average

Similar enough that comparing multiples is meaningful.

CRWV

CRWV

CoreWeave

71% similar

fwd P/E pending

same business modelsame revenue modelsimilar capital intensity
Nebius Group logo

NBIS

Nebius Group

71% similar

fwd P/E pending

same business modelsame revenue modelsimilar capital intensity
IREN Limited logo

IREN

IREN Limited

64% similar

fwd P/E pending

same business modelsame revenue modelsimilar capital intensity
APLD

APLD

Applied Digital

63% similar

fwd P/E pending

same business modelsame revenue modelsimilar capital intensity

Strategic competitors

never averaged

Competing for the same customers or budget, but too different financially for their multiple to say much about this holding.

ORCL

ORCL

Oracle

41% similar

fwd P/E pending

same revenue modelsame customer typesimilar capital intensity

Excluded from peer average: too diversified for a clean multiple comparison

Amazon.com logo

AMZN

Amazon.com

40% similar

fwd P/E pending

same revenue modelsimilar capital intensitysimilar margin profile

Excluded from peer average: too diversified for a clean multiple comparison

NVDA

NVDA

NVIDIA

37% similar

fwd P/E pending

same end marketsoverlapping productssimilar growth profile

Excluded from peer average: competes for the same demand, but a different financial profile

Advanced Micro Devices logo

AMD

Advanced Micro Devices

25% similar

fwd P/E pending

same end marketssimilar capital intensitysimilar growth profile

Excluded from peer average: competes for the same demand, but a different financial profile

Selected by weighted similarity across business model, revenue model, products, end markets, customer type, capital intensity, growth, margins and geography. Direct peers score ≥55% and sit within 2 diversification steps; only they feed the peer average.