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Head to head · 2026

Cerebras vs Hailo

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Cerebras

Wafer-scale AI chips that run inference faster than GPU-based clouds on public benchmarks

4.2Not listed

Visit Cerebras (opens Cerebras in a new tab)

Hailo

Energy-efficient AI processors that bring data-center-class inference to edge devices

4.3Not listed

Visit Hailo (opens Hailo in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Cerebras does not list a price

  • Free plan

    Tie

    Neither has one

  • Higher rating

    Hailo

    4.2 against 4.3

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onCerebrasHailo
Our rating4.24.3Better
Starts atNot listedNot listed
Free planNoNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansSee pricingSee pricing
Key features
  • Wafer-Scale Engine: a single large chip built specifically for AI workloads
  • Cloud inference service running on Cerebras hardware, priced per million tokens
  • Independently benchmarked inference speeds ahead of GPU-based providers on several open models
  • CS-3 systems available for on-premises deployment at enterprise scale
  • Supports popular open-weight models including Llama variants
  • Hailo-8 AI processor delivers up to 26 tera-operations per second in a chip smaller than a coin
  • Hailo-10H module supports generative AI and on-device LLM inference at the edge
  • Optimized for power- and space-constrained deployments in cameras, robots, and vehicles
  • Dataflow Compiler and HailoRT SDK for developers building and deploying models
  • Deployed across smart city, automotive, manufacturing, agriculture, and retail applications
Pros
  • Benchmarked inference speed is a genuine, independently verified differentiator
  • Per-million-token cloud pricing lowers the barrier versus buying CS-3 hardware outright
  • Strong fit for latency-sensitive production applications
  • Data-center-class inference performance in a chip built for strict power and size budgets
  • Broad vertical deployment across automotive, retail, security, and robotics shows validated technology
  • Backed by $340M+ in funding and a $1.2B valuation, pointing to long-term viability
Cons
  • CS-3 hardware itself is a multi-million-dollar purchase, out of reach for most teams
  • Model selection on the cloud service is narrower than general-purpose GPU clouds
  • Newer entrant competing against far larger, more established cloud providers
  • No public per-unit or licensing pricing; OEM and enterprise deals go through direct sales
  • Requires hardware integration and embedded-systems expertise, not a plug-in software tool
  • Competes directly against larger, better-resourced edge-AI chip makers
CompanyCerebras Systems, founded 2015Hailo, founded 2017

Prices come from each vendor's pricing page, last checked 20260718. Check the vendor before you buy.

FAQ

Questions people ask

Is Cerebras better than Hailo?

In our reviews Cerebras scores 4.2 and Hailo scores 4.3. The better pick depends on the job. Cerebras: Wafer-scale AI chips that run inference faster than GPU-based clouds on public benchmarks. Hailo: Energy-efficient AI processors that bring data-center-class inference to edge devices.

Which is cheaper, Cerebras or Hailo?

Cerebras: see pricing. Hailo: see pricing.

Do Cerebras and Hailo have free plans?

Neither lists a free plan.

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