Inference

Performance Hardware Software

Habana Goya Inference Processor:

MLPerf Reports Goya Performance in Available Category

Habana Goya Inference Processor:

MLPerf Reports Goya Performance in Available Category

GOYA on BERT:

See details of GOYA’s performance on BERT NLP model.

Goya + Glow

April 4, 2019

Habana Goya Inference Processor is the first AI processor to implement and open source the Glow comp

Keynote Announcement

September 18, 2018

See the Goya launch keynote from the AI Hardware Summit

GOYA PERFORMANCE ON BERT

Workload: Task: Question Answering, Dataset: SQuAD, Base Model, Layers=12 , Hidden Size=768, Heads=12 , Intermediate Size=3,072, Max Seq Len = 128

Goya Configuration:
Hardware: Goya HL-100; CPU Xeon Gold 6152@2.10GHz
Software: Ubuntu v-16.04.4; SynapseAI v-0.2.0-1173
Precision: 16-bit

GPU Configuration:
Hardware: T4; CPU Xeon Gold 6154@3Ghz/16GB/4 VMs
Software: Ubuntu-18.04.2.x86_64-gnu; CUDA Ver 10.1, cudnn7.5; TensorRT-5.1.5.0
Precision: 16-bit

Source: https://github.com/NVIDIA/TensorRT/tree/release/5.1/demo/BERT

GOYA IMAGE CLASSIFICATION ON RESNET-50

Goya Measurement:
Hardware: Goya HL-100 PCIe Card; CPU XEON E5
Software: Ubuntu v-16.04; SynapseAI v-0.1.6
Workload implementation: Precision INT8; Batch size 10;

GPU Measurement:
Hardware Configuration: T4; Host Supermicro SYS-4029GP – TRT T4
Software Configuration: TensorRT 5.1; Synthetic dataset; Container – 19.03-py3;
Workload implementation: Precision INT8; Batch size 128;

RESNET-50 THROUGHPUT & LATENCY

	Batch Size	Images Per Second	Latency/ ms
Goya	1	7,466	0.2
	4	13,221	0.9
	8	14,546	0.9
	10	15,453	1
	128	15,453	1
T4	1	1,037	0.96
	2	1,710	1.2
	8	3,730	2.2
	128	5,013	26

Sources:
Goya Whitepaper
https://developer.nvidia.com/deep-learning-performance-training-inference

MLPERF PUBLISHED GOYA PERFORMANCE RESULTS

Habana Reported MLPerf Inference Results for the Goya Processor in Available Category

Some of the key distinctions assessed are:

Product status

Available – available now for purchase/deployment
Preview – on a path to availability; not yet there
Research – to test, learn and iterate

Test specification adherence

Closed – tested to match the specification, enabling comparison with other closed results
Open – tested to a set of parameters defined by the vendor to present product results in most favorable light
Number of accelerators contained in the tested solution
Type of host processor employed

Other important factors, such as power, were not included in the measurements.

Goya performance shown here was reported in the available and closed categories.