Legacy CPUs bottlenecked genome analysis at 50 hours per sample. GPU pipelines cut this to 31 minutes—97x faster.
One of China's largest sequencing service providers generates over 1.5 petabytes of data monthly across ten laboratories serving pharmaceutical clients.
Standard CPU-based analysis created severe bottlenecks, with a single whole genome sequencing sample taking 50 hours and methylation alignment...
“We provide our customers with the total solution from the wet lab to the dry lab. We saw the potential of GPUs to accelerate discovery in life sciences. We are doing a lot of revolutionary activities in our industry to digitize our productivity for NGS.”
Multi-omics and sequencing services for drug discovery and clinical research.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
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Iterating on spatial data took 10 hours per run. GPU acceleration cut this to 3 minutes, enabling scale to 100 million cells.
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Massive single-cell datasets overwhelmed a small team. GPU-powered analysis slashed research time from decades to months.
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Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.