The market-first integration of on-demand GPU computing and on-demand networking simplifies how enterprises deploy and scale AI workloads.
PacketFabric, a leading Network-as-a-Service (NaaS) provider, and Massed Compute, a provider of high-performance managed GPU infrastructure, announced the market’s first operationalized combination of GPU-as-a-Service (GPUaaS) and Network-as-a-Service (NaaS) to provide a production-ready platform for enterprise AI workloads.
Customers will soon be able to discover, size, and order GPU resources through the PacketFabric portal, combining on-demand GPU computing from mass computing with PacketFabric’s high-performance on-demand connectivity to move beyond standalone infrastructure components to integrated solutions. The service will initially launch with an on-net deployment, with additional locations planned over time.
“AI innovation is moving at an unprecedented rate, but infrastructure is holding teams back,” said Chad Milam, CEO of PacketFabric. “This partnership represents one of the first truly integrated GPUaaS and NaaS products to market for enterprise AI workloads. Being first to market here is critical. It means our customers can move from idea to production faster than anyone else.”
As AI workloads increasingly span cloud, datacenter, and edge environments, performance depends not only on raw compute but also on data movement. PacketFabric and Massed Compute solutions address this challenge by tightly coupling high-performance GPUs with flexible, scalable networks.
Sunny Smith, co-founder and president of Massed Compute, said: “For too long, customers have had to stitch together GPUs and networking from different providers on different timelines.” “This partnership changes that. We’re delivering a true GPU-as-a-Service experience, combined with Network-as-a-Service, so our customers can scale their AI infrastructure as they wish.”
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Through joint services, customers can:
- Provision GPU compute and network connectivity on demand
- Eliminate delays caused by manual network provisioning
- Efficiently move large datasets between clouds and data centers
- Dynamically scale AI workloads without long-term lock-in
This solution supports a wide range of AI, machine learning, and GPU-intensive use cases, including model training, inference, data-rich analytics, and hybrid AI architectures. Customers can access the product directly through the PacketFabric portal, with sales-assisted deployment available for enterprise use cases such as on-demand GPU instances, managed clusters, and on-premises environments.
GPUaaS + NaaS services will be available soon on the PacketFabric portal.
PacketFabric and Massed Compute are both Digital Alpha portfolio companies, reflecting a shared focus on modernizing digital infrastructure for AI-driven enterprises.
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