List your tool

Head to head · 2026

Cerebras vs GPUX

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)

GPUX

Serverless GPU inference with a 1-second cold start - run StableDiffusionXL, Whisper or your own private…

3.5$0.2/mo

Visit GPUX (opens GPUX 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

    Cerebras

    4.2 against 3.5

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onCerebrasGPUX
Our rating4.2Better3.5
Starts atNot listed$0.2/mo
Free planNoNo
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansSee pricingFrom $0.2/mo
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
  • Serverless GPU inference with a 1-second cold start
  • Support for StableDiffusionXL, ESRGAN, Whisper, and custom LLMs
  • ReadWrite Volumes for persistent inference data
  • Option to resell private model access to other organizations
  • Reported 50-90% cost reduction over always-on GPU infrastructure
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
  • 1-second cold start solves the main practical drawback of serverless GPU inference
  • Low entry pricing ($0.2/hour) with significant reported cost savings
  • Private model monetization option turns internal tools into revenue
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
  • Requires technical setup - built for developers, not a no-code end-user tool
  • Cost savings depend heavily on actual usage patterns versus always-on alternatives
  • Model support, while broad, doesn't cover every possible AI architecture
CompanyCerebras Systems, founded 2015GPUX

Prices come from each vendor's pricing page, last checked 20260826. Check the vendor before you buy.

FAQ

Questions people ask

Is Cerebras better than GPUX?

In our reviews Cerebras scores 4.2 and GPUX scores 3.5. The better pick depends on the job. Cerebras: Wafer-scale AI chips that run inference faster than GPU-based clouds on public benchmarks. GPUX: Serverless GPU inference with a 1-second cold start - run StableDiffusionXL, Whisper or your own private model in the cloud from $0.2/hour, no infrastructure to manage.

Which is cheaper, Cerebras or GPUX?

Cerebras: see pricing. GPUX: from $0.2/mo.

Do Cerebras and GPUX have free plans?

Neither lists a free plan.

More comparisons

Cerebras compared with

All Cerebras alternatives

GPUX compared with

All GPUX alternatives