This page provides an overview of Amazon Web Services (AWS) custom-designed AI chips: Trainium for training and Inferentia for inference.
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- Cost Reduction: Trn1 instances offer up to 50% lower training costs compared to comparable EC2 instances. Trn2 instances offer 30-40% better price performance than current generation GPU-based EC2 instances.
- High Performance: Trainium2 delivers up to 4x the performance of first-generation Trainium.
- Scalability: Trn2 UltraServers connect 64 Trainium2 chips for large-scale model training.
- Framework Support: Native support for PyTorch and JAX, and essential libraries.
- Optimized Data Types: Supports FP32, TF32, BF16, FP16, and configurable FP8 (cFP8).
- Sustainability: Trn2 instances are designed to be three times more energy efficient than Trn1 instances.
- Trn1 Instances: Powered by first-generation Trainium chips.
- Trn2 Instances: Powered by Trainium2 chips, optimized for generative AI.
- Trn2 UltraServers: For training and inference of the largest models.
- AWS Neuron SDK: For model deployment and optimization.
- NeuronLink: Proprietary chip-to-chip interconnect.
Databricks, Ricoh, NinjaTech AI, Arcee AI, and many others.
- Cost Reduction: Inf1 instances deliver up to 70% lower cost per inference.
- High Throughput and Low Latency: Inferentia2 delivers up to 4x higher throughput and up to 10x lower latency compared to Inferentia.
- Scalability: Inf2 instances support scale-out distributed inference.
- Framework Integration: AWS Neuron SDK integrates with PyTorch and TensorFlow.
- Data Type Flexibility: Supports a wide range of data types with automatic casting.
- Sustainability: Inf2 instances offer up to 50% better performance/watt.
- Inf1 Instances: Powered by first-generation Inferentia chips.
- Inf2 Instances: Powered by Inferentia2 chips, optimized for complex models.
- AWS Neuron SDK: For model deployment and optimization.
- NeuronCores: Specialized processing cores.
Leonardo.ai, Runway, Qualtrics, Sprinklr, Finch AI, and many others.
Neurometric provides engineering consulting services for AI hardware. We can work with CPUs, GPUs, and have unique and rare expertise in many of the new and novel AI hardware chips. If you are looking to benchmark your model against various types of compute, need help designing a new AI chip into your device, or want help implementing AI hardware in a new project, please fill out this form, or give us a call.
