Enterprise Foundation Clusters

UNCOMPROMISINGSUPERCOMPUTE.

Zero hypervisor tax. Zero noisy neighbors. Gain exclusive root access to dedicated NVIDIA HGX clusters connected via non-blocking InfiniBand fabrics. Reserve capacity from 8 to 1,024+ GPUs.

ELIMINATE THE HYPERVISOR TAX.

Legacy cloud providers force your workloads through heavy virtualization layers, throttling PCIe bandwidth and introducing micro-stutters during synchronous gradient updates.

HypervizeTM Enterprise provides pure, unadulterated bare metal. Your distributed training scripts interface directly with the physical hardware, maximizing NVLink and RDMA throughput for perfectly linear scaling.

100%
PCIe Gen 5 Bandwidth
Direct memory access without SR-IOV bottlenecks
0ms
Virtualization Latency
No vCPU stealing or host-OS interruptions
GPU_00
GPU_01
GPU_02
GPU_03
GPU_04
GPU_05
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NVIDIA HGX B200
HOST: BARE-METAL-ROOT
1.5 TB
HBM3e VRAM

Non-Blocking Fabric

Train massive foundation models efficiently. Our clusters are wired in a non-blocking rail-optimized topology using 400Gbps NVIDIA Quantum-2 NDR InfiniBand, guaranteeing maximum GPUDirect RDMA throughput.

Parallel Storage

A fast GPU needs fast data. Every bare metal cluster attaches directly to dedicated WekaFS or WEKA parallel file systems via NVMe-oF, ensuring your dataloaders never starve your compute units.

Enterprise Security

SOC2 and HIPAA compliant by default. Your bare metal nodes reside in isolated, single-tenant physical racks. Connect securely via IPsec VPN or dedicated direct-connect circuits.

RESERVE CLUSTER TOPOLOGIES

Skip the hyperscaler waiting lists. Our enterprise sales team can allocate and provision custom multi-node architectures within days, not months.

Tier 1: High Performance

Single HGX Node

8x NVIDIA B200 or H200
  • VRAMUp to 1.5 TB
  • Intra-Node FabricNVLink Switch
  • Local Storage30TB NVMe

Ideal for large LLM fine-tuning, complex physics simulations, and high-throughput production inference APIs.

MOST POPULAR
Tier 2: Distributed

Scale-Out Pod

32x - 64x GPUs
  • Total Nodes4 to 8 Nodes
  • Inter-Node FabricNDR 400G InfiniBand
  • Parallel StorageWekaFS Mounted

The perfect balance of scale and cost for training 7B to 30B parameter foundation models from scratch.

Tier 3: Massive Scale

SuperPOD

128x+ GPUs
  • Total Nodes16+ Nodes
  • Network TopologyFat-Tree / Rail Opt.
  • Security / AccessTier 3+ facilities

Unprecedented scale for Frontier AI labs. Train 100B+ parameter models requiring immense, uninterrupted compute uptime.