Keywords AI
Cerebras vs NVIDIA
Compare Cerebras and NVIDIA side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | Enterprise |
| Best For | Enterprises and developers who need the fastest possible LLM inference | Enterprises and research labs that need the highest-performance GPU infrastructure |
| Website | cerebras.net | nvidia.com |
| Key Features |
|
|
| Use Cases |
|
|
When to Choose Cerebras vs NVIDIA
- Ultra-fast LLM inference
- Real-time AI applications
- High-throughput text generation
- Large-scale model training
- High-performance inference serving
- AI research and development
About Cerebras
Cerebras builds the world's largest AI chips—wafer-scale processors that contain millions of cores on a single silicon wafer. The Cerebras CS-2 system delivers massive parallelism for AI training and ultra-fast inference for open-source models. Through Cerebras Inference, developers can access some of the fastest LLM inference speeds available, particularly for Llama models.
About NVIDIA
NVIDIA dominates the AI accelerator market with its GPU hardware (H100, A100, B200) and CUDA software ecosystem. NVIDIA's DGX Cloud provides GPU-as-a-service for AI training and inference, while its TensorRT and Triton platforms optimize model deployment. The company also operates NGC, a catalog of GPU-optimized AI containers and models. NVIDIA hardware powers the vast majority of AI training and inference worldwide.
What is Inference & Compute?
Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.
Browse all Inference & Compute tools →