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Next-generation AI cloud infrastructure, on the exchange fabric.

AIUSAIX leverages the robust infrastructure of AIXEON Cloud to deliver next-generation AI, cloud, networking and digital infrastructure services globally. AIXEON Cloud is provisioned directly on the AIUSAIX fabric — no internet hop between your compute and your peers.

Capabilities

A complete AI infrastructure stack

01
GPU-as-a-Service (GPUaaS)
02
AI Compute Clusters
03
High Performance Computing (HPC)
04
Large Language Model Infrastructure
05
AI Inference Platforms
06
AI Training Infrastructure
07
Cloud Storage
08
Kubernetes Platforms
09
Bare Metal Servers
10
Edge Computing Infrastructure
11
Private Cloud Deployments
12
Multi-Cloud Connectivity
13
Data Lake Infrastructure
GPU Plans

From LoRA fine-tunes to trillion-parameter pre-training

Five tiers tuned to the LLM you're training — Llama, Mistral, Mixtral, Qwen, Gemma, Falcon, Yi, Command R, DeepSeek and custom foundation models. All clusters land on the AIUSAIX fabric.

Starter — Inference & Fine-Tune

1× NVIDIA A10 (24GB)

VRAM
24 GB GDDR6
Interconnect
PCIe Gen4
CPU
16 vCPU
RAM
120 GB
Storage
1 TB NVMe
Network
10 Gbps
$1.10 /hr
or $640 /mo reserved
Best for
  • Inference serving
  • LoRA / QLoRA fine-tuning
  • Embeddings
Models supported
Llama 3.1 8BMistral 7BQwen2.5 7BGemma 2 9BPhi-3 MiniDeepSeek-Coder 6.7B
Reserve Starter
Popular
Pro — Mid-Size Training

2× NVIDIA L40S (48GB)

VRAM
96 GB total
Interconnect
PCIe Gen4 + NVLink Bridge
CPU
32 vCPU
RAM
256 GB
Storage
4 TB NVMe
Network
25 Gbps
$3.40 /hr
or $1,990 /mo reserved
Best for
  • Mid-size SFT
  • RLHF / DPO
  • Vision-language models
Models supported
Llama 3.1 70B (QLoRA)Mixtral 8x7BQwen2.5 32BFalcon 40BYi 34BStable Diffusion XL
Reserve Pro
Best value
Scale — Multi-GPU Training

8× NVIDIA H100 SXM (80GB)

VRAM
640 GB HBM3
Interconnect
NVLink 4.0 + NVSwitch (900 GB/s)
CPU
112 vCPU
RAM
2 TB
Storage
16 TB NVMe + 100 TB shared
Network
400 Gbps RoCE / InfiniBand HDR
$28.80 /hr
or $16,900 /mo reserved
Best for
  • Pre-training mid-scale LLMs
  • Full-parameter SFT
  • Diffusion training
Models supported
Llama 3.1 70B (full FT)Mixtral 8x22BQwen2.5 72BCommand R+DeepSeek V2 236B (MoE)SDXL Turbo / Flux
Reserve Scale
Frontier — Foundation Pre-Training

8× NVIDIA H200 SXM (141GB)

VRAM
1,128 GB HBM3e
Interconnect
NVLink 4.0 + NVSwitch (900 GB/s)
CPU
128 vCPU
RAM
2 TB
Storage
30 TB NVMe + 500 TB Lustre
Network
3.2 Tbps non-blocking InfiniBand NDR
$38.40 /hr
or $22,500 /mo reserved
Best for
  • Long-context pre-training
  • 100B+ MoE training
  • Frontier research
Models supported
Llama 3.1 405BDeepSeek V3 671B (MoE)Qwen2.5 110BGrok-1 314BCustom foundation models
Reserve Frontier
New
Sovereign — Blackwell Cluster

8× NVIDIA B200 (192GB) — scales to GB200 NVL72

VRAM
1,536 GB HBM3e per node
Interconnect
NVLink 5.0 (1.8 TB/s) + NVSwitch
CPU
144 vCPU Grace-class
RAM
4 TB
Storage
60 TB NVMe + 1 PB Lustre
Network
3.2 Tbps InfiniBand XDR
Custom (reserved) /hr
or From $48,000 /mo reserved
Best for
  • Sovereign AI
  • Trillion-param training
  • Real-time multimodal
Models supported
Trillion-parameter LLMsFrontier multimodal (vision + audio + text)Custom MoE > 1T paramsReal-time inference at scale
Reserve Sovereign
On-fabric peering

Provisioned directly on the AIUSAIX exchange — zero internet hop to your data, peers and inference endpoints.

InfiniBand & RoCE

Non-blocking RDMA fabrics up to 3.2 Tbps for distributed training without collective bottlenecks.

Reserved or on-demand

Hourly burst capacity, 1/3/12-month reservations, or sovereign dedicated clusters.

Open frameworks

PyTorch, JAX, DeepSpeed, Megatron-LM, vLLM, TensorRT-LLM, Triton — pre-baked images.

Request capacity

Reserve GPUs on the AIUSAIX fabric

Pick the engagement model that fits — burst on-demand, committed reservation, or sovereign dedicated cluster. A Solution Architect replies within one business day.

Hourly burst capacity — spin up GPU nodes in minutes, billed by the hour. Best for experimentation, fine-tuning bursts and inference scale-out.

Deploy AIXEON Cloud capacity inside AIUSAIX.

Our solutions engineers will scope your interconnection, peering, or cloud requirements within one business day.