Cloud Spectra Fabric -- GPU Capacity Fabric

Never Wait for
GPU Capacity Again.

Pool GPU capacity -- including spot -- across every AWS account and region into one elastic Kubernetes pool. Cross-account Karpenter provisioning, a free same-AZ east-west fabric, and EFA training islands. It all runs inside your own AWS accounts -- nothing phones home.

Cross-account, cross-region Karpenter Burst to spot wherever it is available EFA training islands -- $0/GB peering fabric Runs in your accounts -- sovereign by design
Schedule a Demo View Pricing
1 pool
Across all accounts & regions
~70%
Cheaper with pooled spot
$0/GB
Same-AZ east-west traffic
0
Bytes leave your accounts
The Capacity Problem

GPU Capacity Is Scarce -- and Fragmented

The GPUs you need exist. They are just scattered across the wrong accounts and the wrong regions, behind separate quotas, while your jobs sit in a pending queue.
⏳

Regional fragmentation

us-east-1 is exhausted while spot sits idle in us-west-2 or eu-west-1. Capacity is real -- it is just in a region your cluster cannot reach.

InsufficientInstanceCapacity
🔒

Per-account quota walls

GPU quotas are per-account and per-region. One team hits a wall while another account has headroom -- and Karpenter cannot cross the boundary to use it.

VcpuLimitExceeded
💰

Unpooled spot

Spot GPUs are up to ~70% cheaper, but availability swings by AZ, region, and instance type. Without pooling across your estate, you pay on-demand or you wait.

on-demand fallback x3 cost
How Cloud Spectra Fabric Works

One Pool. Every Account. Every Region.

Fabric turns the GPU capacity scattered across your AWS estate into a single, schedulable Kubernetes pool -- using the cross-account networking and Karpenter machinery Cloud Spectra already runs.

Cross-Account Karpenter

Karpenter natively provisions only within one account and region. The Cloud Spectra Karpenter provider extends it across accounts and regions -- so a pending GPU pod gets a node wherever capacity actually exists.

Fabric

Spot Capacity Pooling

Discover and schedule onto spot GPU capacity across every enrolled account, region, AZ, and instance type. Higher fill rate, lower cost, with on-demand fallback for the workloads that need it.

Fabric

Placement Policy

One per-workload intent -- throughput, tightly-coupled, or balanced -- compiles to the right Kubernetes labels and affinity. AZ-IDs are normalized across accounts so locality is physically true, not just name-matched.

Fabric

EFA Training Islands

Tightly-coupled training lands in a single-AZ shared VPC with a cluster placement group and EFA, so NCCL all-reduce runs over RDMA at full fabric speed. Multi-account GPU nodes join one shared subnet via AWS RAM -- not peering.

Fabric

Free Peering Fabric

Inference, batch, sweeps, and data movement ride an automated full-mesh VPC-peering fabric -- with route propagation across accounts and regions. Same-AZ east-west traffic is $0/GB, versus the $0.02/GB Transit Gateway processing fee.

Fabric

Sovereign by Design

Fabric pools your own GPUs in your own accounts -- your quotas, your reservations, your spend. Not a third-party GPU cloud. No training data, model weights, or traffic ever leave your trust boundary.

Fabric
Architecture

Two Regimes, One Control Plane

Fabric routes each workload into the networking regime that fits it: an EFA island for tightly-coupled training, and the free peering fabric for everything else. The control plane decides; you write one placement policy.
          +-----------------------------------------------------+
          |  Cloud Spectra Fabric -- Control Plane               |
          |  Cross-Account Karpenter | Transit Manager          |
          |  K8s Control Plane | Placement Policy (AZ-ID aware) |
          +-----------------------------------------------------+
                   |                                |
     tightly-coupled training              loosely-coupled / inference
                   |                                |
   +---------------+----------------+   +-----------+------------------------+
   |  EFA Training Island           |   |  Free Peering Capacity Fabric      |
   |  Shared VPC (AWS RAM), 1 AZ    |   |  Routed TCP / ENA over peering     |
   |  Cluster placement group + EFA |   |  Accounts x Regions, $0/GB same-AZ |
   |                              |   |                                  |
   |  GPU nodes: Acct A + Acct B    |   |  Inference / batch / HPO sweeps    |
   |  NCCL all-reduce over SRD/RDMA |   |  Spot pooled where available       |
   +------------------------------+   +----------------------------------+
■ Control plane    ■ EFA island (RDMA, single-AZ)    ■ Peering fabric (routed)    ■ GPU workloads
Honest about our lane
We give your GPUs reach -- we are not a FinOps scheduler

Cloud Spectra Fabric gives your workloads reach and placement: it finds GPU capacity across your accounts and regions, wires the network, and lands each job in the right regime. It does not -- and an orchestration layer should not pretend to -- bid spot strategy, rightsize your fleet, or manage Savings Plans and Reserved Instances. And to be precise about the hardware: EFA traffic is non-routable and cannot cross VPCs, AZs, or regions, so the highest-end tightly-coupled training runs inside a single-AZ shared-VPC island -- never over the cross-region peering fabric. The fabric carries everything else. That honesty is the point: it is why the behavior matches the diagram.

Security
Your GPUs, Your Data, Your Accounts
Your Own Capacity
Pools your accounts, quotas, and reservations -- not a third-party GPU cloud. You keep your AWS pricing.
Zero Telemetry
No training data, weights, or traffic sent to Cloud Spectra. The data plane never leaves your accounts.
Least-Privilege IAM
Cross-account provisioning scoped by tag and ARN. No wildcard permissions. Full policy published.
Audit in Your CloudWatch
All provisioning and placement decisions logged to your own CloudWatch -- fully under your control.
Read the full Trust Center →
GPU capacity, pooled

Stop Queueing for GPUs.

Turn the GPU capacity scattered across your AWS estate into one Kubernetes pool. Deploy from your own accounts -- no GPUs, data, or weights ever leave your trust boundary.

Schedule a Demo See Enterprise Gateway Contact Sales
Billed through AWS Marketplace | Deploys via Terraform / CloudFormation | Runs in your accounts