Sparta Systems-Videos

Forging Connections – Kathleen Brunner : What Is the Cost of Not Being Digitally Smart?

In this episode, our host Michelle Dawn Mooney, talks to Kathleen Brunner, President at Acumen Analytics, about how companies can leverage data. Kathleen talks about the importance of finding the problem and the solution to the problem and that Smart Data is a crucial component here. Smart data is about how the right people…

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Latest

Sparta Systems-Videos
Honeywell Forge: Tim & Megan

Our guest, Megan Star from Carlisle, expresses excitement about the net zero commitment in 2022, inspired by companies like Honeywell. They note that the impact of the net zero concepts is not limited to energy companies, as it affects businesses across various sectors. Many governments and corporations have pledged to achieve net zero…

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Sparta Systems-Videos
Forging Connections: Flipping CAPA on it’s head with prevention

In this episode, our host Michelle Dawn Mooney, talks to Zillery Fortner, Product Advisor, QA/RA Life Science at Sparta Systems, and Bethany Kearney, Program Director at Sparta Systems, to talk about flipping CAPA on its head with prevention and understanding the root cause. Learn about how prevention is critical and errors can be costly,…

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Sparta Systems-Videos
Celonic Case Study

In this Case Study, we spoke with Celonic. They wanted a system to scale their business, providing more visibility and quality management capabilities. They also found that the system is straightforward, allowing them to integrate their KPIs, help with executive decisions, and quality investigations to improve their business.

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Sparta Systems-Videos
eisai Case Study

In this Case Study, we spoke with Eisai. They’ve been TrackWise users, but only in some areas of their business. As they expanded globally, they saw a lot of value in bringing TrackWise with them to have access to data all over the world in different languages, unifying business problems, and using quality data for…

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AI costs
QumulusAI Brings Fixed Monthly Pricing to Unpredictable AI Costs in Private LLM Deployment
February 18, 2026

Unpredictable AI costs have become a growing concern for organizations running private LLM platforms. Usage-based pricing models can drive significant swings in monthly expenses as adoption increases. Budgeting becomes difficult when infrastructure spending rises with every new user interaction. Mazda Marvasti, CEO of Amberd, says pricing volatility created challenges as his team expanded its…

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GPU infrastructure
Amberd Moves to the Front of the Line With QumulusAI’s GPU Infrastructure
February 18, 2026

Reliable GPU infrastructure determines how quickly AI companies can execute. Teams developing private LLM platforms depend on consistent high-performance compute. Shared cloud environments often create delays when demand exceeds available capacity Mazda Marvasti, CEO of Amberd, says waiting for GPU capacity did not align with his company’s pace. Amberd required guaranteed availability to support…

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private LLM
QumulusAI Secures Priority GPU Infrastructure Amid AWS Capacity Constraints on Private LLM Development
February 18, 2026

Developing a private large language model(LLM) on AWS can expose infrastructure constraints, particularly around GPU access. For smaller companies, securing consistent access to high-performance computing often proves difficult when competing with larger cloud customers. Mazda Marvasti, CEO of Amberd AI,  encountered these challenges while scaling his company’s AI platform. Because Amberd operates its own…

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custom AI chips
Custom AI Chips Signal Segmentation for AI Teams, While NVIDIA Sets the Performance Ceiling for Cutting-Edge AI
February 18, 2026

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

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