
    AWS HealthOmics expands computational capabilities by adding NVIDIA L4 and L40S GPUs and supporting up to 192 vCPUs, enabling more efficient genomics research and machine learning workflows.


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<p>
AWS HealthOmics has expanded its workflow compute capabilities with new GPU and CPU options to support advanced scientific research:
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<ul>
<li>Added support for NVIDIA L4 and L40S GPUs alongside existing A10G and T4 GPUs</li>
<li>Increased CPU configurations up to 192 vCPUs with 1,536 GiB of memory</li>
<li>Enables more efficient machine learning workloads like protein structure prediction</li>
<li>Supports complex biological foundation model processing</li>
<li>Available in US East (N. Virginia) and US West (Oregon) regions</li>
</ul>
<p>
These enhancements help healthcare and life sciences researchers accelerate scientific breakthroughs by reducing processing time for large-scale genomics datasets.
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AWS HealthOmics workflows now support NVIDIA L4 and L40S GPUs and expanded CPU options

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