Intel Habana Goya HL-100 Inference Accelerator PCIe

The Intel Habana Goya HL-100 is a dedicated inference accelerator designed for high-throughput deep learning inference workloads in datacenter and enterprise AI environments. Built on Habana Labs' first-generation Goya architecture, the HL-100 delivers a purpose-built execution engine optimized for neural network inference rather than general-purpose compute, enabling efficient processing of trained models across image classification, natural language processing, and recommendation system workloads. The card connects via a standard PCIe interface, making it compatible with a broad range of x86-based server platforms without requiring proprietary interconnects or specialized host infrastructure.

The Goya HL-100 integrates Habana's Tensor Processor Core (TPC), a VLIW SIMD processor specifically engineered for tensor operations central to deep learning inference. It supports both FP32 and INT8 data types, allowing operators to deploy full-precision models or leverage INT8 quantization to significantly increase throughput for latency-sensitive production inference pipelines. The device includes 32 GB of on-board HBM2 memory, providing substantial capacity for large model weights and activations without frequent host memory transfers, which is critical for batch inference serving scenarios.

As part of Intel's Habana portfolio, the HL-100 is supported by the SynapseAI software framework, which provides graph compilation, runtime management, and integration with standard deep learning frameworks including TensorFlow and PyTorch via ONNX import. This enables enterprise ML engineering teams to deploy existing trained models with minimal rework. The card is suited for deployment in AI inference servers, cloud service provider nodes, and on-premises AI inferencing appliances serving high-demand production traffic across industries including financial services, healthcare imaging, and large-scale internet services.

Ideal for

• High-throughput image classification and object detection inference serving in computer vision pipelines for retail, security, and industrial inspection applications
• Natural language processing inference for sentiment analysis, text classification, and named entity recognition at datacenter scale
• Real-time recommendation engine inference for e-commerce and content platforms requiring low-latency, high-volume scoring
• Medical imaging AI inference workloads such as radiology image analysis deployed within on-premises clinical datacenter environments
• Financial services fraud detection and risk scoring inference pipelines requiring deterministic, high-throughput model serving
• Enterprise AI model serving infrastructure where multiple independently deployed inference models share a high-memory PCIe accelerator platform

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.