List of Amazon Trainium Customers
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Since 2010, our global team of researchers has been studying Amazon Trainium customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon Trainium for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon Trainium for ML and Data Science Platforms include: Ricoh Company, a Japan based Manufacturing organisation with 18697 employees and revenues of $15.40 billion, HCLTech, a India based Professional Services organisation with 223420 employees and revenues of $13.60 billion, databricks, a United States based Professional Services organisation with 5500 employees and revenues of $1.60 billion, Money Forward, a Japan based Professional Services organisation with 2597 employees and revenues of $281.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon Trainium, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon Trainium customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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databricks | Professional Services | 5500 | $1.6B | United States | Amazon Web Services (AWS) | Amazon Trainium | ML and Data Science Platforms | 2023 | n/a | In 2023, Databricks deployed Amazon Trainium as a dedicated compute tier within its data + AI platform to accelerate training of foundation models. The deployment specifically leveraged AWS Trainium Trn1 and Trn2 accelerators to support large-scale ML/model-training workloads focused on Mosaic MPT foundation models, and is associated with the Apps Category . Databricks integrated Amazon Trainium into its platform-level training orchestration and compute provisioning, configuring distributed training flows to run on Trn1 and Trn2 instances. The implementation concentrated on ML and R&D functional workflows, including multi-node distributed model training, checkpointing and model build pipelines that feed into Databricks managed experiment and model registries. Operational scope covered enterprise ML/R&D workloads for Databricks global customers, with primary coverage in the United States and worldwide serviceability. The technical architecture paired Databricks compute layers with Amazon Trainium accelerators to provide scale for parameter-heavy foundation model training, aligning platform compute autoscaling and workload placement to Trn1 and Trn2 resources. Governance emphasized platform-level orchestration and workload classification so ML teams could route foundation model jobs to Trainium-backed clusters. The collaboration with AWS Trainium aimed to reduce cost-to-train and speed up model builds, delivering higher scale and lower total cost of ownership for Databricks customers in the United States and worldwide. | |
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HCLTech | Professional Services | 223420 | $13.6B | India | Amazon Web Services (AWS) | Amazon Trainium | ML and Data Science Platforms | 2023 | n/a | In 2023, HCLTech announced a collaboration with Amazon Web Services to accelerate enterprise adoption of generative AI and to access Amazon Trainium as part of AWS’s GenAI infrastructure portfolio, Apps Category: . The announcement was issued from New York and Noida, India, and positions Amazon Trainium alongside other AWS offerings in the GenAI stack for HCLTech’s engineering and cloud teams. Implementation scope centers on developer productivity and large model training infrastructure, with HCLTech committing to use Amazon CodeWhisperer across more than 50,000 engineers, cloud practitioners and developers to build secure applications and support client engagements. The collaboration explicitly references Amazon Bedrock, Amazon Titan, AWS Inferentia and AWS Trainium as portfolio components HCLTech will leverage, with Amazon Trainium available to support compute intensive model training workloads within AWS environments. Operational integration activity described in the announcement includes embedding Amazon CodeWhisperer into HCLTech’s Advantage Cloud platform to enable automated mass application migration workflows, including automated rehosting, refactoring and re-platforming treatments, and a centralized dashboard to monitor and plan migrations. HCLTech also highlighted industry-specific AI deployments such as Ziva on AWS and its recognition as an ML-powered Amazon Connect launch partner, indicating cross-functional use across engineering, cloud migration, and industry solution teams. Governance and adoption language in the collaboration emphasizes responsible and secure AI usage, with HCLTech and AWS framing the engagement to support internal developer enablement and client-facing AI solutions. The public disclosure focuses on platform access, developer enablement and coordinated product portfolio usage rather than specific deployment topologies or measured outcomes. | |
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Money Forward | Professional Services | 2597 | $281M | Japan | Amazon Web Services (AWS) | Amazon Trainium | ML and Data Science Platforms | 2023 | n/a | In 2023, Money Forward began initial work on Amazon Trainium using EC2 Trn1 instances to accelerate ML training for its NLP and chatbot services in Japan. The company reported running large-scale AI chatbot inference on AWS Inferentia and has performed early Trn1 experiments following an Inf1 migration, the Apps Category . The implementation centers on training pipelines for conversational AI, with Amazon Trainium provisioned to handle compute-intensive model training stages. Configuration focused on distributed training across Trn1 nodes, model parallelism for large language model variants used in chatbot workflows, and orchestration of batch training jobs and checkpointing to support iterative NLP model development. Operationally the work complements existing Inferentia-based inference, creating an architecture that separates Trn1-based training from Inf1-based serving. Deployments run on AWS EC2 Trn1 for training workloads while maintaining AWS Inferentia for real-time inference, positioning Amazon Trainium within Money Forward’s AI platform for customer service and AI in Japan. Governance for the rollout emphasized staged experiments and validation, with teams responsible for experimental controls, throughput testing, and operational readiness before broader adoption across AI and customer service functions. Money Forward expects Trn1 instances to provide additional ML performance improvements and lower training costs based on outcomes from its Inf1 migration and early Trn1 testing. | |
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Manufacturing | 18697 | $15.4B | Japan | Amazon Web Services (AWS) | Amazon Trainium | ML and Data Science Platforms | 2024 | n/a |
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Buyer Intent: Companies Evaluating Amazon Trainium
- Yuanli Technology, a China based Education organization with 50 Employees
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