Intel Gaudi 3
AI Telecom
AI accelerator chip designed for efficient deep learning training and inference in data centers.
Overview
Intel Gaudi 3 is a purpose-built AI accelerator designed to provide a cost-effective alternative to NVIDIA GPUs for deep learning workloads. Gaudi 3 delivers competitive performance for training and inference of large language models and telecom AI applications while offering better price-performance for many enterprise workloads. The chip integrates 24 tensor processor cores, 48 GB of HBM2e memory, and native support for popular ML frameworks.
Key Features
- 24 tensor processor cores
- 48 GB HBM2e memory
- Native PyTorch and TensorFlow support
- Cost-effective GPU alternative
- Scalable for data center deployment
Pricing
enterprise
Contact Intel
Pros & Cons
Pros
- +Competitive price-performance
- +Good for LLM training
- +Native ML framework support
- +Intel ecosystem
Cons
- -Smaller ecosystem than NVIDIA
- -Less mature software stack
- -Limited benchmarks available
Screenshots
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