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Title
Targa Telematics deploys an on-premise generative AI development environment used by about 150 engineers
…premise AI for developers Thu, 22nd Oct 2026 SOFIAH NICHOLE SALIVIO News Editor Targa Telematics has completed and deployed an on-premise generative AI software development environment, now used by about 150 engineers across the company. Delivered on Hewlett Packard Enterprise infrastructure in collaboration with Gr…
Description
Targa Telematics deployed an on-premise generative AI software development environment on Hewlett Packard Enterprise infrastructure, designed with Gruppo Zenit and built around large language models and open-weight models, keeping code and data within its own infrastructure. In the first seven weeks it handled almost 30,000 developer requests.
…re development environment, now used by about 150 engineers across the company. Delivered on Hewlett Packard Enterprise infrastructure in collaboration with Gruppo Zenit, the platform is built around large language models and open-weight models. It is intended to support software development while keeping code, data and mod…
…e keeping code, data and model use within Targa Telematics' own infrastructure. In the first seven weeks after deployment, the platform handled almost 30,000 requests from developers, processed more than 3.4 billion tokens and generated 65 million tokens in response, reflecting early take-up by engineering teams. The project is centred on an on-premise approach rather than public cloud or th…
Company
Targa Telematics
…premise AI for developers Thu, 22nd Oct 2026 SOFIAH NICHOLE SALIVIO News Editor Targa Telematics has completed and deployed an on-premise generative AI software development environment, now used by about 150 engineers across the company. Delivered on Hewlett Packard Enterprise infrastructure in collaboration with Gr…
Industry
Technology & Software
…ntation can be transformed into a platform primed to drive business evolution." Targa Telematics develops digital solutions and platforms for connected mobility and operates across several European markets as well as Chile. The new setup st…
Problem
Targa Telematics wanted generative AI as a day-to-day tool for its developers while retaining complete control over its code, data and technological know-how, without sending proprietary information outside the business.
…li, CTO of Targa Telematics, outlined the company's rationale for the project. "Generative AI is increasingly becoming a day-to-day tool for our developers. We wanted to create a fully on-premise development environment while retaining complete control over our code, data and technological know-how," he said. "An on-premise approach, based on open-weight models, is key to ensur…
Solution
Targa Telematics deployed an on-premise generative AI software development environment on Hewlett Packard Enterprise infrastructure, with Gruppo Zenit designing the underlying infrastructure. The platform is built around large language models and open-weight models, and supports coding assistance and use as an AI assistant.
…re development environment, now used by about 150 engineers across the company. Delivered on Hewlett Packard Enterprise infrastructure in collaboration with Gruppo Zenit, the platform is built around large language models and open-weight models. It is intended to support software development while keeping code, data and mod…
…on-premise approach rather than public cloud or third-party inference services. This means proprietary information does not need to be transferred outside the business when engineers use the tools for coding support or as an AI assistant. The move comes as businesses face growing pressure to balance wider use of gene…
Business value
In the first seven weeks after deployment the platform handled almost 30,000 developer requests and processed more than 3.4 billion tokens, reflecting early take-up by about 150 engineers; code, data and model use stay within Targa Telematics' own infrastructure.
…e keeping code, data and model use within Targa Telematics' own infrastructure. In the first seven weeks after deployment, the platform handled almost 30,000 requests from developers, processed more than 3.4 billion tokens and generated 65 million tokens in response, reflecting early take-up by engineering teams. The project is centred on an on-premise approach rather than public cloud or th…
…nit, the platform is built around large language models and open-weight models. It is intended to support software development while keeping code, data and model use within Targa Telematics' own infrastructure. In the first seven weeks after deployment, the platform handled almost 30,000 r…
AI capabilities
Generative AI
…n Hewlett Packard Enterprise infrastructure in collaboration with Gruppo Zenit, the platform is built around large language models and open-weight models. It is intended to support software development while keeping code, data and mod…
Technology
Hewlett Packard Enterprise, Open-weight models
…re development environment, now used by about 150 engineers across the company. Delivered on Hewlett Packard Enterprise infrastructure in collaboration with Gruppo Zenit, the platform is built around large language models and open-weight models. It is intended to support software development while keeping code, data and mod…
Deployment model
On-premise
…d 65 million tokens in response, reflecting early take-up by engineering teams. The project is centred on an on-premise approach rather than public cloud or third-party inference services. This means proprietary information does not need to be transferred outside the…
Deployment options
On-premise
…d 65 million tokens in response, reflecting early take-up by engineering teams. The project is centred on an on-premise approach rather than public cloud or third-party inference services. This means proprietary information does not need to be transferred outside the…
Headline outcome
…e keeping code, data and model use within Targa Telematics' own infrastructure. In the first seven weeks after deployment, the platform handled almost 30,000 requests from developers, processed more than 3.4 billion tokens and generated 65 million tokens in response, reflecting early take-up by engineering teams. The project is centred on an on-premise approach rather than public cloud or th…
Use case type
Software engineering assistance
…ns proprietary information does not need to be transferred outside the business when engineers use the tools for coding support or as an AI assistant. The move comes as businesses face growing pressure to balance wider use of gene…
