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ARCHITECTURE
Gaudi 2
SERIES
Gaudi 2E
Memory
96GB HBM2e
Bandwidth
~2.45 TB/s
TDP
450W (PCIe) / 600W (OAM)
In StockGaudi 2E·Best for: Enhanced cost-effective deep-learning training with open-source framework support.
Intel Gaudi 2E AI Accelerator
Gaudi 2
|Intel Gaudi 2Overview
The Intel Gaudi 2E AI accelerator is an enhanced variant of the Gaudi 2, featuring 96GB of HBM2e memory with improved performance characteristics for deep-learning workloads. Designed for organizations seeking cost-effective AI acceleration, the Gaudi 2E provides excellent price-performance for medium-to-large training clusters. Its open software platform with PyTorch and TensorFlow support makes it a flexible choice for AI infrastructure deployments.
Key Features
- 96GB HBM2e memory with high bandwidth
- Enhanced Gaudi 2 architecture
- Open software stack (PyTorch, TensorFlow)
- Scalable multi-node architecture
- Integrated Ethernet networking
- Cost-effective AI acceleration
Ideal Use Cases
Deep learning training (CV, NLP, speech)AI inference servingRecommendation enginesResearch and education AI clustersHybrid cloud AI workloads
Full Specifications
Complete technical specifications for the Gaudi 2E.
Memory
- Memory
- 96GB HBM2e
- Memory Bandwidth
- ~2.45 TB/s
Compute
- Tensor Cores
- N/A (dedicated matrix engines)
- CUDA Cores
- N/A
- FP8 TFLOPS
- N/A
- FP16 TFLOPS
- ~400 TFLOPS (BF16)
- TF32 TFLOPS
- ~200 TFLOPS
- FP64 TFLOPS
- N/A
Interconnect
- Interconnect
- Integrated Ethernet, up to 24 ports per node
Physical
- TDP
- 450W (PCIe) / 600W (OAM)
- Form Factor
- PCIe Gen4 / OAM
- Cooling
- High-performance air or liquid
Manufacturing
- Launch Date
- 2023
- Manufacturing Process
- TSMC 7nm
