Furiosa’s Gen 1 Vision NPU. Available today.

High performance data center accelerator for advanced computer vision deployment on cloud and edge

Name: Warboy - Furiosa Gen 1 Vision NPU
Brand: FuriosaAI

SUPERIOR PERFORMANCE AND VERSATILITY

Novel architecture and software enable fast and versatile computer vision deployment

Computer Vision Benchmarks

WARBOY vs. GPU Latencies (ms)

*Lower value is better

Computer Vision Benchmarks comparison graphs: WARBOY vs GPU Latencies

Measurements by FuriosaAI internally on current specifications and/or internal engineering calculations. System Configuration: [11th Gen Intel Core i9-11900K @ 3.50 GHz x 16, 64GB DDR4, 1x WARBOY or 1x Nvidia A2.

MLPerf

Image Classification (ResNet-50)

Performance/Price

MLPerf™v1.1 Inference Closed; SSD-Small: 1.1-071, 1.1-129, ResNet-50: 1.1-099, 1.1-129. Furiosa Warboy result is submitted in the Preview category, and Nvidia T4's SSD-Small and ResNet-50 results are submitted by Alibaba and Lenovo respectively in the Available category. Price is not the primary metric of MLPerf. The MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

Object Detection (SSD -
MobileNetV1)

Image Classification
(ResNet-50)

Object Detection
(SSD-Small)

Image Classification (ResNet-50) comparison graph

Offline Throughput

Official MLPerf™ score of v2.0 Inference Edge: Closed. Retrieved from https://mlcommons.org/en/infer... 12 May 2022, entry 2.0-142. Price is the primary metric of MLPerf. The MLPerf™ name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

Single-Stream Performance (Image-per-second throughput)

MLPerf™v1.1 Inference Closed; SSD-Small: 1.1-071, 1.1-129, ResNet-50: 1.1-099, 1.1-129. Furiosa Gen 1 NPU result is submitted in the Preview category, and Nvidia T4's SSD-Small and ResNet-50 results are submitted by Alibaba and Lenovo respectively in the Available category. Price is not the primary metric of MLPerf. The MLPerf name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

POWERED BY FURIOSA’S GEN 1 NPU TODAY

Grid view of sixteen surveillance camera feeds monitoring various urban and street scenes with object detection labels.

Intelligent video applications for smart cities, workplace safety, and quality control

Night aerial view of a busy city intersection showing a comparison of low resolution on the left and high resolution on the right with the text 'SUPER RESOLUTION' across the center.

Super Resolution applications for media and entertainment

FURIOSA MODEL ZOO

Check out the full list of models that our Gen 1 NPU supports.
If you don’t see your model, our team will work with you to deploy the right solution.

ENTERPRISE &
CLOUD-READY STACK

Workflow Integration

Our platform integrates seamlessly with your existing workflow, offering easy-to-use APIs, support for popular AI frameworks like PyTorch, ONNX, TensorFlow Lite, and compatibility with NumPy data structures.

Model Optimization

Leveraging our advanced compiler, we ensure your models achieve peak performance per watt. With our profiling tools identifying performance bottlenecks, we can further enhance model performance and efficiency.

Flexible Deployment

Furiosa hardware provides the flexibility to choose multiple processing elements (PEs) depending on your workloads. It’s designed for data center adaptability, incorporating containerization and Kubernetes, to facilitate the swift scaling of AI projects.

AVAILABLE TODAY

GET STARTED

Furiosa SDK

A collection of software components, including compiler, quantization,and runtime for optimizing and deploying DNN model inferences with Furiosa NPUs.

Model Zoo

A collection of pre-trained and pre- quantized models optimized for FuriosaAI NPUs and their examples.

Dev Support

A comprehensive technical support site for developers, offering an extensive knowledge base, community forums, and support tickets to resolve technical issues.

Blog

World's first NPU Hackathon for Vision Applications with Furiosa's Gen 1 Vision NPU

News

How ePopSoft, maker of South Korea’s most popular English instruction app, uses Furiosa’s Gen 1 Vision NPU

Technical Updates

Q&A: ASUS on AI server trends, FuriosaAI partnership, and more

Our Viewpoints