Enterprise IT / AI

Machine Learning Accelerators

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER

What is Machine Learning Accelerators?

Vendors here build software that optimizes hardware and compute resources taken up by AI models during training and inference. These solutions allow enterprises to compress neural networks to run on edge devices or on-prem servers.

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Leaders

Leaders are the most established service providers in the market and possess the breadth to address various customer needs.

See why these companies made it as leaders for Machine Learning Accelerators. These companies include Run:AI.

Run:AI logo
Run:AI

Israel / Founded Year: 2018

Run:AI builds a virtualization layer for AI workloads. By abstracting workloads from the underlying infrastructure, Run:AI creates a shared pool of resources that can be provisioned on the fly, enabling full utilization of expensive GPU to compute. IT teams retain control and gain real-time visibility – including seeing and provisioning run-time, queuing, and GPU utilization – from a single web-based UI. This virtual pool of resources enables IT leaders to view, allocate, and compute resources across multiple sites.

Known Partners

OCF, Red Hat, NetApp, and 2 more

Known Customers

Scan

Key People

Meir Feder, Omri Geller, Ronen Dar

Highfliers

Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.

See why these companies made it as highfliers for Machine Learning Accelerators. These companies include Latent AI.

Latent AI logo
Latent AI

United States / Founded Year: 2018

Latent AI is an early stage venture spinout of SRI International dedicated to building solutions to transform AI processing. The Latent AI Efficient Inference Platform (LEIP) brings AI to the edge by optimizing for compute, energy, and memory without requiring changes to existing AI/ML infrastructure and frameworks.

Key People

Jags Kandasamy, Chloe Chan, Sek Chai

Outperformers

Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.

See why these companies made it as outperformers for Machine Learning Accelerators. These companies include OctoML and Deci AI.

OctoML logo
OctoML

United States / Founded Year: 2019

OctoML offers efficient and secure deployments of machine learning and deep learning models as a managed service.

Known Customers

Qualcomm

Key People

Tianqi Chen, Thierry Moreau, Luis Ceze, and 2 more

Deci AI logo
Deci AI

Israel / Founded Year: 2019

Deci builds synthetic data sets to supplement data when more is needed to build AI and machine learning models. Deci’s deep learning platform enables data scientists to transform their AI models into production-grade solutions on any hardware, crafting the next generation of AI for enterprises across the board.

Key People

Ran El-Yaniv, Yonatan Geifman, Jonathan Elial

Deeplite logo
Deeplite

Canada / Founded Year: 2018

Deeplite is an AI software company dedicated to enabling AI for everyday life. Deeplite uses AI to automatically make other AI models faster, smaller and more energy-efficient creating highly compact, high-performance deep neural networks for deployment on edge devices such as cameras, sensors, drones, phones, and vehicles.

Known Partners

CMC Microsystems, Mila, Arm, and 2 more

Key People

Nick Romano, Davis Sawyer, Jeff McMullen, and 2 more

Challengers

Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.

See why these companies made it as challengers for Machine Learning Accelerators. These companies include Neural Magic.

Neural Magic logo
Neural Magic

United States / Founded Year: 2018

Neural Magic develops an inference engine that data scientists can run on computers running CPUs, rather than specialized chips like GPUs or TPUs.

Known Partners

VMware

Key People

Brian Stevens, Alex Matveev, John O'Hara

What is Machine Learning Accelerators?

Vendors here build software that optimizes hardware and compute resources taken up by AI models during training and inference. These solutions allow enterprises to compress neural networks to run on edge devices or on-prem servers.

Selling a product or service?
Reach more buyers.

Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.

Claim your CB Insights Profile