GPU workloads move enormous datasets between clusters, clouds, and storage. On best-effort internet, the network becomes the bottleneck and the GPUs wait. PacketFabric connects your AI and GPU workloads to AWS, Azure, Google Cloud, Oracle, and IBM over a private 65+ Tbps optical network, so data reaches the GPUs at the scale the workload demands.
Multi-100G throughput. Move training sets, checkpoints, and inference traffic for GPU workloads on high-bandwidth links built for AI data movement.
Provision in minutes. Turn up connectivity from a self-service portal or REST API. No ticket, no wait.
Design it in plain language. Price and provision with PacketFabric.ai, the industry’s first AI-native NaaS platform.
Neutral by design. PacketFabric runs a network utility. It does not resell your GPUs or compete for your customers.
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Networking Built for AI and GPU Workloads
AI and GPU workloads split into two network problems: distributed training and inference. We handle both, moving data over a private backbone with hosted or dedicated cloud connectivity and private point-to-point links from 1 Gbps to 100 Gbps.
Connect GPU clusters, clouds, and data centers. PacketFabric connects GPU clusters to hyperscalers, neoclouds and storage over multi-100G links, and ties in colocation sites with data center interconnect.
GPU and network in one place.
PacketFabric has paired with GPU cloud providers such as Massed Compute to combine GPUaaS with NaaS, so you provision compute and connectivity together instead of stitching two vendors.
Built for neoclouds and GPUaaS.
PacketFabric is a neutral network layer for neocloud and GPUaaS providers. It moves your customers’ GPU traffic without reselling GPUs or competing for the account.
Common AI and GPU workload questions
No. PacketFabric runs the network utility. It has paired with GPU cloud providers such as Massed Compute to combine GPUaaS with NaaS for AI traffic.
Hosted connections from 50 Mbps to 10 Gbps, dedicated to 100 Gbps, with multi-100G backbone capacity.
GPU workloads need private, high-bandwidth paths, not best-effort internet. PacketFabric moves GPU workload data over a private 65+ Tbps backbone with multi-100G links, provisioned in minutes.
It connects GPU clusters, clouds, and storage over private links, routes traffic across clouds with the Virtual Cloud Router, and pairs GPU capacity with the network through its joint GPU and private network offering.
Yes. Connect clusters in colocation to AWS, Azure, Google Cloud, Oracle, and IBM, and interconnect data centers, all from one platform.
Yes. PacketFabric is a neutral network layer for neocloud and GPUaaS providers and does not compete for their customers.