ThisWay Global

Founded 2016

Coordinate high-performance computing hardware and schedule large-scale machine learning workloads across sovereign clusters

Pricing model

Demo

You can use Amalgamy to manage high-performance computing hardware and schedule complex machine learning workloads across distributed systems. It automatically directs tasks to available compute clusters while enforcing local governance, compliance rules, and data residency policies. The system connects directly with your existing infrastructure, such as Slurm and Kubernetes, without requiring changes to user workflows. Additionally, it provides telemetry across compute, storage, networking, power, and cooling to prevent resource bottlenecks and maintain steady capacity across research institutions and enterprise data centers.

What ThisWay Global does

Route compute jobs to available GPUs automaticallyApply data sovereignty policies to machine learning datasetsMonitor cluster power consumption and cooling metricsConnect Kubernetes clusters with existing storage systemsShare excess compute capacity across partner organizationsDeploy high-performance workloads across NVIDIA hardwareAutomated workload scheduling based on hardware readiness and compliance rulesDirect integration with Slurm and Kubernetes environmentsHardware telemetry tracking compute, storage, network, power, and coolingPolicy enforcement for data sovereignty and local governanceShared compute cooperative framework for trading excess cluster capacitySupport for high-density liquid-cooled GPU architectures like NVIDIA GB300