Gaudi 2 GPU
Intel Gaudi 2 is an AI training and inference accelerator designed for efficient deep learning workloads.
Cloud Pricing
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 96GB of high-bandwidth memory provides substantial capacity for large model training and inference
- 2,450 GB/s memory bandwidth supports memory-intensive AI workloads
- 432 TFLOPS FP16 performance delivers competitive compute throughput
- Open standard Ethernet networking eliminates proprietary interconnect requirements
- PCIe Gen5 connectivity enables integration with standard server architectures
- Multiple form factors (PCIe and mezzanine) offer deployment flexibility
- High-efficiency architecture designed for cost-effective AI scaling
- 600W TDP requires substantial power and cooling infrastructure
- Ethernet-based interconnect may have higher latency compared to proprietary solutions like NVLink
- Limited ecosystem compared to more established GPU platforms
- May be overkill for smaller AI models or inference-only workloads
- Released in 2022, making it a previous-generation offering in the rapidly evolving AI accelerator market
Key Features
About Gaudi 2
Common Use Cases
The Gaudi 2 is well-suited for large language model training and inference, multi-modal AI applications, and enterprise RAG deployments that require substantial memory capacity and bandwidth. With 96GB of memory and 432 TFLOPS of FP16 performance, it handles memory-intensive workloads effectively. The Ethernet-based scaling makes it particularly attractive for organizations with existing network infrastructure who want to avoid proprietary interconnect investments. Its high memory bandwidth of 2,450 GB/s supports applications where model parameters and activations exceed typical GPU memory limits, making it suitable for training large transformer models and running inference on models that require significant memory footprints.
Full Specifications
Hardware
- Manufacturer
- Intel
- Architecture
- Gaudi
- TDP
- 600W
Memory & Performance
- VRAM
- 96GB
- Memory Bandwidth
- 2450 GB/s
- FP16
- 432 TFLOPS
- Release
- 2022
Frequently Asked Questions
How much does a Gaudi 2 cost per hour in the cloud?
Gaudi 2 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the Gaudi 2 best used for?
The Gaudi 2 excels at large language model training and inference, multi-modal AI workloads, and enterprise RAG applications. Its 96GB memory capacity and high bandwidth make it particularly suitable for memory-intensive AI workloads that exceed typical GPU memory limits.
How does Gaudi 2's Ethernet networking compare to NVIDIA's NVLink?
Gaudi 2 uses open standard Ethernet for multi-node communication, allowing integration with existing network infrastructure without proprietary hardware requirements. While this may result in higher latency compared to dedicated interconnects like NVLink, it provides cost-effective scalability and leverages standard networking equipment for AI cluster deployment.