Intel Gaudi

Datacenter-grade AI accelerator I DevOps & Hardware

Basic Information

Product Description

Intel Gaudi is Intel's series of datacenter-grade accelerators designed for AI training and inference, positioned as a cost-effective alternative to NVIDIA's H100. Gaudi 3 features 128GB of HBM2E memory and delivers 1,835 TFLOPS of BF16/FP8 compute power. Its core selling point is its price, which is approximately half that of the H100, while offering a 70% higher throughput in Llama 3 80B inference, making it a compelling value proposition.

Core Features/Characteristics

  • 64 Tensor Processing Cores (TPCs)
  • 8 Matrix Multiplication Engines (MMEs)
  • 128GB HBM2E memory
  • Up to 3.7 TB/s memory bandwidth
  • 1,835 TFLOPS BF16/FP8 matrix compute power
  • 28.7 TFLOPS BF16 vector compute power
  • Approx. 600W TDP
  • Supports PyTorch and mainstream AI frameworks

Pricing

  • OEM Price: Approx. $15,625 per unit (Supermicro system configuration)
  • Compared to H100's $33,437 per unit, priced at approximately 47% of H100

Availability (2025)

  • PCIe AIB version: Available in the second half of 2025
  • Already available on IBM Cloud and Intel Tiber Developer Cloud
  • Dell, HPE, Supermicro systems shipping from Q4 2025

Target Users

  • Budget-sensitive enterprises seeking alternatives to H100
  • Datacenters requiring AI inference capabilities but aiming to reduce costs
  • Intel ecosystem users
  • Large-scale OpenClaw inference deployments

Competitive Advantages

  • Price is approximately half that of H100
  • 70% higher cost-performance ratio in Llama 3 80B inference compared to H100
  • 128GB memory, larger than H100's 80GB
  • Supports mainstream AI frameworks (PyTorch, etc.)
  • Intel brand and supply chain assurance

Disadvantages

  • Software ecosystem maturity lags behind NVIDIA CUDA
  • Limited community and third-party tool support
  • Fewer real-world deployment cases compared to H100
  • Drivers and optimization tools are still being refined

Relationship with OpenClaw Ecosystem

Intel Gaudi provides a more cost-effective datacenter-grade AI inference option for OpenClaw. Its price advantage, being approximately half that of H100, significantly reduces the cost of deploying OpenClaw inference backends. The 128GB memory allows for running large LLMs, and the 70% improvement in inference cost-performance directly translates into operational cost advantages for OpenClaw services. The Intel Tiber Developer Cloud enables quick evaluation of Gaudi's suitability for OpenClaw.

Sources

External References

Learn more from these authoritative sources: