Inference

Performance Hardware Software

GOYA INFERENCE 8-CARD SERVER

Super fast data crunching for deep learning inference workloads

15,488 Images-per-second inference throughput with .8ms latency

AI Inference

GOYA INFERENCE PERFORMANCE

BERT – Base SQuAD Performance

Goya performance on BERT-Base, a popular natural language processing model, is based on the following configurations:
Hardware: 1x GOYA HL-100; CPU eon GOLD [email protected] GHz.
Software: Ubuntu v-18.04; SynapseAI 0.11.0-477

Performance on ResNet50

Goya delivers super fast throughput and ultra low latency on ResNet50, a popular image recognition model. These performance metrics are based on:
Hardware: Goya HL-100 PCIe card; host CPU Xeon Gold [email protected] GHz; and
Software: Ubuntu v-18.04, SynapseAI v-0.11-447.

Inference performance: All AI models Inference published MLPerf results

GOYA INFERENCE PRODUCTS

GOYA HL-100 PCIe CARD:

• PCIe: Gen4 x 16 lanes
• Form Factor: Dual-slot
• Memory: 16GB with ECC

GOYA HL-100 PCIe Card Datasheet

GOYA 8-CARD SERVER:

HL-100 built for industry standard server configurations

Download GOYA whitepaper

HABANA SynapseAI^® SOFTWARE Suite for Inference

SynapseAI Habana’s software platform provides efficient and flexible development and deployment of a wide array of inference workloads and ease of customization to suit user-specific solution requirements. Designed for flexibility, Habana’s inference software leverages foundational and flexible blocks: Habana’s programmable Tensor Processor Core (TPC) SDK, optimizer, graphic compiler and runtime software, a rich and extensible kernel library and data center deployment and management tools.