In sequencing and clinical environments, instruments generate terabytes of data per run, with throughput surpassing 20 petabases per instrument per year (Mordor Intelligence, 2026).
Laboratories require fast, efficient, and scalable systems to manage and analyze complex workloads without bottlenecks. Instrument manufacturers looking for solutions that increase processing speed are leveraging high-performance computing systems with GPU components, which deliver up to 25x faster performance compared to CPU-only systems (Shanbhag et al., 2020).
Join us for an engaging and informative session where we dive into industrial-grade compute infrastructure designed to handle big data from bench to breakthrough.
Join the free webinar with certification of attendance.
Attend the Webinar to Learn:
- Key components of the computing processes involved in high throughput ecosystems and scientific research workflows.
- How NVIDIA© GPU acceleration uses massive parallelism and low latency networking to reduce compute times from days to hours.
- How embedding the right compute infrastructure within industrial scientific equipment enables manufacturers to build the instruments and systems that accelerate discovery.
This Webinar is Ideal For:
- Systems & Hardware Engineers
- Software Engineers & Principal Engineers
- Engineering Managers & Directors
- Program & Product Managers
About the Webinar Speakers
As the head of Ilot Partnerships at Advantech, Anders Nielsen is responsible for building end-to-end ecosystem solutions that connect the physical and digital worlds. His work sits at the intersection of industrial IoT, Edge AI, and autonomous systems - helping partners and customers deploy intelligence from IO to cloud. This spans modern factories, mobile robotics, the energy sector, and the next generation of industrial infrastructure. Driven by an entrepreneurial mindset and a deep curiosity for technology, he has helped grow and scale global organisations ranging from early-stage startups to Fortune 100 companies.
Dustin Tseng is the Sr. Product Manager at Advantech in the Edge Server Group, where he provides hardware solutions for edge computing and cloud infrastructure applications. With over 17 years of experience in Server and Network Computing, Dustin has a proven track record of product management and product marketing, OEM/ODM project management, and go-to-market strategies. Known for managing small to large projects of IEM customers, he helps life science equipment brands to find server hardware systems, peripherals, and turn-key solutions for time-to-market.
Ben Busby is the Global Alliances Manager for Omics at NVIDIA, with a deep interest in prototyping, disease subtyping, deep learning, and knowledge graphs. He is also an Adjunct Faculty member in the Computational Biology Department at Carnegie Mellon University. With over two decades of experience in the field, Ben has held various leadership and advisory roles, including Principal Scientist at DNAnexus, Data Science Advisor for Deloitte, and multiple positions at the National Center for Biotechnology Information (NCBI), where he served for over ten years. He is also an advisor for The Johns Hopkins University and Research to the People and has a strong background in technical leadership and innovation in teaching. His work has focused on developing novel methods to evaluate large-scale genomic, phenotype and imaging data, driving advancements in computational biology and data science education.