Achieving 1500 tokens/s — A New Standard in AI Inference Speed

Qwen 3.8 27B on Cerebras

2025

1500

tokens per second

Qwen 3.8 27B running on Cerebras — redefining inference performance

Key Capabilities

bolt

Lightning Speed

1500 tokens/s delivers real-time responses for complex tasks

memory

Large Model

27B parameters — high-capacity reasoning and generation

public

Open Source

Qwen model available for customization and deployment

rocket_launch

Production Ready

Cerebras platform built for enterprise AI workloads

Trusted by the Developer Community

This breakthrough has captured significant attention in the tech community. A recent Hacker News post about Qwen 3.8 27B on Cerebras received 544 points — a strong signal of relevance and interest among developers and AI practitioners.

544 Points on Hacker News

05

The Competitive Edge

Understanding the performance advantage

Traditional Inference vs Cerebras

Traditional GPUs

50-100 tokens/s typical speed
Higher latency for large models
Complex optimization required
Limited throughput at scale

Cerebras Platform 15-30x Faster
1500 tokens/s — 15-30x faster
Optimized for large models
Plug-and-play deployment
Built for production workloads

Key Takeaways

01

Speed Advantage 1500 tokens/s enables near-instant AI responses at scale
02

Model Power 27B parameters deliver sophisticated reasoning capabilities
03

Accessibility Open-source Qwen model available on enterprise platform
04

Community Validation 544 Hacker News points signal strong developer interest

Thank You

The future of AI inference is here

inference-docs.cerebras.ai