Gaudi 3 GPU
Intel Gaudi 3 is a purpose-built AI accelerator offering competitive performance for training and inference of large language models.
Cloud Pricing
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 128 GB of high-bandwidth memory enables training of large language models without memory constraints
- Standard Ethernet-based fabric eliminates need for proprietary interconnects like InfiniBand
- PCIe Gen5 form factor provides compatibility with existing server infrastructure
- 1,835 TFLOPS FP16 performance delivers substantial computational capability
- 3,675 GB/s memory bandwidth supports memory-intensive AI workloads
- 900W TDP provides high performance density for data center deployment
- Multiple form factors including PCIe card, mezzanine card, and UBB offer deployment flexibility
- 900W power consumption requires robust cooling and power infrastructure
- Limited to Intel's Gaudi ecosystem which has smaller software support compared to CUDA
- Ethernet-based interconnect may have higher latency compared to dedicated AI fabrics
- Newer architecture may have fewer optimized frameworks and libraries available
- Single accelerator design lacks multi-GPU configurations on single cards
Key Features
About Gaudi 3
Common Use Cases
The Gaudi 3 is designed for large language model training and inference, multi-modal AI applications, and enterprise retrieval-augmented generation (RAG) systems. Its 128 GB memory capacity makes it suitable for training large transformer models that require substantial memory for parameters and activations. The Ethernet-based fabric architecture makes it particularly well-suited for organizations that want to scale AI workloads using existing network infrastructure rather than investing in specialized interconnects. Enterprise deployments benefit from its standard form factors and infrastructure compatibility, while the high memory bandwidth supports both training workflows and high-throughput inference scenarios.
Full Specifications
Hardware
- Manufacturer
- Intel
- Architecture
- Gaudi
- TDP
- 900W
Memory & Performance
- VRAM
- 128GB
- Memory Bandwidth
- 3675 GB/s
- FP16
- 1835 TFLOPS
- Release
- 2024
Frequently Asked Questions
How much does a Gaudi 3 cost per hour in the cloud?
Gaudi 3 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the Gaudi 3 best used for?
The Gaudi 3 is optimized for large language model training and inference, multi-modal AI applications, and enterprise RAG systems. Its 128 GB memory capacity and Ethernet-based scaling make it particularly suitable for organizations wanting to deploy large AI models using standard data center infrastructure.
How does Gaudi 3 compare to NVIDIA H100 for AI workloads?
The Gaudi 3 offers 128 GB of memory compared to the H100's 80 GB, providing advantages for memory-intensive models. However, the H100 delivers higher raw compute performance and has broader software ecosystem support. The Gaudi 3's Ethernet-based approach may appeal to organizations wanting to avoid proprietary interconnects, while the H100's NVLink provides lower-latency multi-GPU communication.