Scale Up
Deep Learning Inference
on Your Existing Data Center Hardware

The Deci platform optimizes your deep learning models to maximize the utilization of any hardware, enabling efficient inference without compromising accuracy.

BOOK A DEMO

The Challenge

The demands of advanced IT infrastructure technologies, such as deep-learning training and inference, will force most enterprises to either update existing data centers or build new ones. This increase in workload is driving the demand for hardware, software, disaster recovery, continuous power supplies, networking and cooling costs. For example, deep-learning inference requires the purchase of new servers with expensive AI-dedicated GPU chips. Demand for deep-learning inference workloads can dramatically increase your data center total-cost-of-ownership (TCO) and cut your product’s profitability.

Maximize Data Center Hardware Utilization

Connecting your model to Deci’s deep learning platform and using the AutoNAC technology, will enable a cost-effective deep learning-based application with model-optimized throughput for your target hardware. You can maximize the utilization of your data center hardware, consider switching to cheaper hardware, and run multiple models on the same hardware.

Maximize data center hardware - Benchmark reduce cloud costs AI

Benefits:

  • Scale up your solution on existing hardware without extra cost
  • Cut your data center total cost of ownership by maximizing the throughput of your deep learning models or by running on existing hardware like CPU

All without compromising on performance or accuracy!

Achieve State-of-the-Art Performance, Powered by AutoNAC™

Boost your trained model’s throughput/latency for any hardware, with Deci’s AutoNAC algorithmic optimization, without compromising on accuracy.

GPU
  • Nvidia T4
  • ResNet-50
  • ImageNet
CPU
  • Intel Xeon Gold 6328H 8-core
  • ResNet-50
  • ImageNet

Applications

  • Medical AI Diagnoses
  • Video Analytics
  • Security Cameras
  • Manufacturing
  • Image Editing
  • Your Application >

Deployment Options

maximize data center hardware - icon

Data Center

CPU and GPU

Edge Server

On-prem /
Edge Server

maximize data center hardware - icon

Data Center

  • CPU and GPU
Edge Server

On-prem /
Edge Server

“Deci shares our vision that AI in production requires operating in heterogeneous infrastructure environments. Their technology makes inferencing accessible and affordable anywhere, from the edge to the data center. By collaborating with Deci, we aim to help our customers accelerate AI innovation and deploy AI solutions everywhere using our industry-leading platforms, from data center systems that are ideally suited to train deep learning models to edge systems that accelerate high-throughput inference.”

Arti Garg, Head of Advanced AI Solutions & Technologies, HPE

Interesting Content For You

Blog

Efficient Inference in Deep Learning – Where is the Problem?

READ MORE

Blog

The Correct Way to Measure Inference Time of Deep Neural Networks

READ MORE
How Deci and Intel Hit 11.8x Inference Acceleration at MLPerf

Blog

Deci and Intel Hit 11.8x Inference Acceleration at MLPerf

READ MORE

Unleash Your
Deep Learning Models