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.
Related implementations across industries and use cases
CPU bottlenecks delayed urgent post-surgery biopsies. GPU-accelerated pipelines now empower lab teams to meet strict delivery targets.
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Planning one product took four experts a month. Automated AI pipelines now let non-experts complete the work in a single day.
CPU bottlenecks delayed urgent post-surgery biopsies. GPU-accelerated pipelines now empower lab teams to meet strict delivery targets.
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
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.
Related implementations across industries and use cases
CPU bottlenecks delayed urgent post-surgery biopsies. GPU-accelerated pipelines now empower lab teams to meet strict delivery targets.
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Planning one product took four experts a month. Automated AI pipelines now let non-experts complete the work in a single day.
CPU bottlenecks delayed urgent post-surgery biopsies. GPU-accelerated pipelines now empower lab teams to meet strict delivery targets.
Analyzing 100k genomes dragged at 8 hours per case. GPU nodes cut processing to 40 minutes, unlocking the program’s scale.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Analyzing 10TB of weekly telemetry took IT specialists days. Now, engineers ask AI in natural language to instantly retrieve charts.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.