Cerebras

Cerebras builds the world's largest AI chips — wafer-scale engines (WSE) — that process entire models on a single piece of silicon without the memory bandwidth bottlenecks of traditional GPU clusters. Their cloud inference API delivers some of the fastest token generation speeds available anywhere.

• Ultra-fast inference API — run Llama 3 and other open models at 1,000+ tokens/sec through the Cerebras Inference service
• Wafer-scale training — train large models on a single WSE-3 chip with 44GB of on-chip SRAM, eliminating the need for multi-node GPU clusters
• No parallelism complexity — the WSE architecture avoids tensor parallelism, pipeline parallelism, and all-reduce communication overhead that slows GPU training
• Research partnerships — used by national labs, pharmaceutical companies, and AI research teams for compute-intensive workloads
• OpenAI-compatible API — drop-in replacement for existing OpenAI SDK code with Cerebras hardware acceleration

AI researchers, enterprise ML teams, and organizations with demanding throughput requirements use Cerebras when they need inference speeds that GPU-based providers cannot match, or when training models where memory bandwidth is the primary constraint.

Cerebras is uniquely positioned for workloads involving very long sequences and sparse models, where the wafer-scale architecture's massive on-chip memory and bandwidth provide advantages that scale with model and sequence size.

1. Sign up for Cerebras Inference — create an account at inference.cerebras.ai and generate an API key from the dashboard.
2. Use the OpenAI SDK — Cerebras' API is OpenAI-compatible:

   from openai import OpenAI
   
   client = OpenAI(
       api_key='your-cerebras-api-key',
       base_url='https://api.cerebras.ai/v1'
   )
   
   response = client.chat.completions.create(
       model='llama3.1-70b',
       messages=[{'role': 'user', 'content': 'Explain wafer-scale computing'}]
   )
   print(response.choices[0].message.content)

3. Or install the Cerebras SDK:

   pip install cerebras-cloud-sdk

4. For on-premise WSE clusters — contact Cerebras sales for hardware provisioning, pricing, and integration support. On-premise deployments include the Cerebras Software Platform for model compilation and orchestration.

Pricing: Inference API pricing is competitive with GPU-based providers. Llama 3.1 8B: $0.10/M tokens. Llama 3.1 70B: $0.60/M tokens. Free tier available for experimentation. On-premise WSE hardware pricing is custom — contact sales. Inference details.