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Cerebras vs Scaleway: Token Pricing, Speed & Intelligence

Full comparison of Cerebras and Scaleway — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Cerebras

Wafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth

Cerebras uses wafer-scale silicon (the CS-3 chip covers an entire silicon wafer) to deliver extraordinary inference throughput. Llama 3.1 8B runs at 4,500+ tokens/second — roughly 10× faster than GPU-based providers. This makes Cerebras uniquely suited for real-time applications, voice AI, and interactive coding assistants.

Voice AIReal-time chatSpeedInteractive codingStreaming
Open-weight hostHosts open weights

Scaleway

French cloud provider with sovereign EU LLM inference

Scaleway is a French cloud provider offering GPU compute and LLM inference with a focus on European data sovereignty. Their Generative APIs service hosts Llama 3.3 and other open-weight models, making them a strong choice for European businesses with data residency requirements.

European complianceFrench data sovereigntyGDPROpen-sourceGPU compute
Open-weight hostHosts open weights

Key metrics

Cheapest input ($/1M)

Cheapest output ($/1M)

Peak throughput

Best latency (TTFT)

Intelligence score

Context window

Live token pricing

Strengths & weaknesses

Cerebras

4,500+ tokens/sec on Llama 3.1 8B — fastest inference available
Sub-50ms time-to-first-token for real-time applications
Wafer-scale chip architecture eliminates GPU memory bottlenecks
Competitive pricing for the throughput delivered
OpenAI-compatible API
Very limited model selection — only a few Llama variants
No vision or multimodal support
No fine-tuning capability

Scaleway

French cloud — strongest EU data sovereignty credentials
GDPR-compliant with data centres in France and Netherlands
GPU compute + LLM inference from one provider
Competitive pricing for European market
Long-established cloud provider (founded 1999)
Smaller model catalog than US-based inference providers
Lower throughput than speed-optimised providers
Less developer tooling than OpenAI or Anthropic

Key differentiators

Cerebras

Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.

Scaleway

The strongest European data sovereignty credentials — a French company with French data centres, ideal for organisations with strict EU data residency requirements.

Frequently asked questions

Cerebras FAQs

How fast is Cerebras inference?

Cerebras delivers 4,500+ tokens/second on Llama 3.1 8B — roughly 10× faster than GPU-based providers like Groq (1,200 t/s) or Together AI (350 t/s). This makes it the fastest inference option available.

What is a Cerebras wafer-scale chip?

The Cerebras CS-3 chip is fabricated on a single silicon wafer rather than individual dies. This gives it 900,000 AI cores and 44GB of on-chip SRAM, eliminating the memory bandwidth bottleneck that limits GPU inference speed.

What models does Cerebras support?

Cerebras currently supports Llama 3.1 8B and 70B, and Llama 3.3 70B. The model selection is intentionally limited — Cerebras focuses on delivering extreme speed on a curated set of models rather than broad catalog coverage.

Scaleway FAQs

Is Scaleway GDPR-compliant?

Yes. Scaleway is a French company with data centres in France and the Netherlands. All data stays within the EU, making it one of the strongest options for GDPR compliance and French data sovereignty requirements.

What LLM models does Scaleway offer?

Scaleway's Generative APIs service hosts Llama 3.3 and other open-weight models. Their catalog is focused on the most widely-used open-source models.

How does Scaleway compare to Nebius AI for European inference?

Both are European providers with GDPR-compliant infrastructure. Scaleway has stronger French data sovereignty credentials (French company, French data centres) while Nebius AI has a larger model catalog and more inference-focused infrastructure.

Provider resources

CerebrasWafer-scale AI chips — 4,500 tokens/sec, the fastest inference on earth

Cerebras uses wafer-scale silicon (the CS-3 chip covers an entire silicon wafer) to deliver extraordinary inference throughput. Llama 3.1 8B runs at 4,500+ tokens/second — roughly 10× faster than GPU-based providers. This makes Cerebras uniquely suited for real-time applications, voice AI, and interactive coding assistants.

Cerebras delivers 4,500+ tokens/sec on Llama 3.1 8B — 10× faster than any GPU provider, enabling genuinely real-time AI applications.

ScalewayFrench cloud provider with sovereign EU LLM inference

Scaleway is a French cloud provider offering GPU compute and LLM inference with a focus on European data sovereignty. Their Generative APIs service hosts Llama 3.3 and other open-weight models, making them a strong choice for European businesses with data residency requirements.

The strongest European data sovereignty credentials — a French company with French data centres, ideal for organisations with strict EU data residency requirements.

Key strengths compared

Cerebras

  • 4,500+ tokens/sec on Llama 3.1 8B — fastest inference available
  • Sub-50ms time-to-first-token for real-time applications
  • Wafer-scale chip architecture eliminates GPU memory bottlenecks

Scaleway

  • French cloud — strongest EU data sovereignty credentials
  • GDPR-compliant with data centres in France and Netherlands
  • GPU compute + LLM inference from one provider

Provider category context

Cerebras is a inference api, founded in 2016. Scaleway is a cloud, founded in 1999. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose Cerebras if you need 4,500+ tokens/sec on llama 3.1 8b — fastest inference available. Choose Scaleway if you need french cloud — strongest eu data sovereignty credentials. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.