List of Amazon Inferentia Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
HCL Technologies Professional Services 223420 $13.8B India Amazon Web Services (AWS) Legacy Amazon Inferentia ML and Data Science Platforms 2023 n/a
Showing 1 to 1 of 1 entries

Buyer Intent: Companies Evaluating Amazon Inferentia

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Amazon Inferentia. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD Amazon Inferentia Coverage

Amazon Inferentia is a ML and Data Science Platforms solution from Amazon Web Services (AWS).

Companies worldwide use Amazon Inferentia, from small firms to large enterprises across 21+ industries.

Organizations such as HCL Technologies are recorded users of Amazon Inferentia for ML and Data Science Platforms.

Companies using Amazon Inferentia are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using Amazon Inferentia are most concentrated in India, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Inferentia across Americas, EMEA, and APAC.

Companies using Amazon Inferentia range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.

Customers of Amazon Inferentia include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Amazon Inferentia customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.