Dedicated GPU Infrastructure · Enterprise AI Compute · USDT Billing Available
DEDICATED GPU CLOUD

Configure compute around your AI workload.

Each configuration is presented as a dedicated infrastructure allocation with a clearly defined GPU, host memory, storage, and network profile. Select a billing term below to see the exact invoice amount before creating an order.

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Commercial termsMonthly: standard rateQuarterly: 3% term discountAnnual: 8% term discount

Prices are shown in USD and settled as the corresponding USDT amount on the invoice. Provisioning begins after payment verification. Availability and activation timing may vary by configuration.

Production AI
Dedicated GPU allocation

AI Compute A100 Dedicated

A dedicated accelerator node for production inference, model serving, vector search, generative imaging, and cost-efficient fine-tuning.

BEST FORInference, RAG, embeddings, Stable Diffusion, data science
GPU1× NVIDIA A100 80GB
CPU32 vCPU EPYC/Xeon
System Memory256 GB ECC
Local Storage2 TB Enterprise NVMe
Network10 Gbps uplink
Deployment ModelDedicated GPU instance · isolated compute allocation
Included with this configurationDedicated compute allocationEnterprise NVMe storagePublic network connectivityOrder & invoice history in client area
CONFIGURE BILLING

$2,986.73 USD / month

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Popular
Dedicated GPU allocation

AI Compute A100 Twin

Dual-GPU capacity for teams running larger model pipelines, parallel inference, multimodal workloads, and sustained CUDA processing.

BEST FORLLM fine-tuning, parallel inference, vision pipelines, CUDA
GPU2× NVIDIA A100 80GB
CPU48 vCPU EPYC/Xeon
System Memory384 GB ECC
Local Storage4 TB Enterprise NVMe
Network10 Gbps uplink
Deployment ModelDedicated dual-GPU node · production-ready capacity
Included with this configurationDedicated compute allocationEnterprise NVMe storagePublic network connectivityOrder & invoice history in client area
CONFIGURE BILLING

$4,893.26 USD / month

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Flagship
Dedicated GPU allocation

H100 AI Cloud Pro

Our flagship AI node for high-throughput generative AI, advanced fine-tuning, retrieval systems, research workloads, and production model serving.

BEST FORGenerative AI, LLM tuning, RAG, high-throughput inference
GPU2× NVIDIA H100 80GB
CPU64 vCPU AMD EPYC
System Memory512 GB ECC
Local Storage7.68 TB Enterprise NVMe
Network25 Gbps uplink
Deployment ModelHigh-density dedicated GPU compute · priority provisioning
Included with this configurationDedicated compute allocationEnterprise NVMe storagePublic network connectivityOrder & invoice history in client area
CONFIGURE BILLING

$6,856.47 USD / month

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Enterprise
Dedicated GPU allocation

H100 AI Cluster 4

Four-GPU infrastructure for larger training jobs, distributed inference, enterprise AI platforms, and sustained high-memory accelerator workloads.

BEST FORDistributed training, enterprise inference, vision, research
GPU4× NVIDIA H100 80GB
CPU96 vCPU AMD EPYC
System Memory768 GB ECC
Local Storage15.36 TB Enterprise NVMe
Network2× 25 Gbps uplink
Deployment ModelMulti-GPU dedicated node · cluster expansion ready
Included with this configurationDedicated compute allocationEnterprise NVMe storagePublic network connectivityOrder & invoice history in client area
CONFIGURE BILLING

$11,976.82 USD / month

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Ultra Scale
Dedicated GPU allocation

H200 AI Fabric 8

Ultra-dense accelerator capacity for foundation-model development, memory-intensive training, distributed AI, and extremely high-throughput inference.

BEST FORFoundation models, large-context AI, training, inference fabrics
GPU8× NVIDIA H200 141GB
CPU192 vCPU AMD EPYC
System Memory2 TB ECC
Local Storage30.72 TB Enterprise NVMe
Network100 Gbps AI fabric
Deployment ModelEight-GPU fabric node · enterprise deployment engagement
Included with this configurationDedicated compute allocationEnterprise NVMe storagePublic network connectivityOrder & invoice history in client area
CONFIGURE BILLING

$24,793.58 USD / month

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NEED A DIFFERENT CONFIGURATION?

Custom GPU clusters and larger allocations.

For higher GPU density, storage requirements, private networking, or multi-node deployments, contact our infrastructure team for a scoped configuration and commercial quote.

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