AI / ML Ready

Enterprise GPU Cloud Computing

High-throughput GPU clusters engineered for AI model training, LLM inference, computer vision, and scientific computing.

Swift2Cloud Infrastructure Architecture

Interactive Hardware & Network Orchestration Topology

ALL SYSTEMS OPERATIONAL
Compute LayerNODE ID: COMPUTE-01
Dedicated & VPS Compute
Benchmark: 4.4 GHz Max Clock

KVM hypervisors with 100% dedicated hardware cores & zero resource overselling.

Architecture Capabilities:
Single-tenant Bare Metal
KVM Cloud VPS
NVIDIA GPU Compute
SWIFT2CLOUD ORCHESTRATION ENGINE
Hardware Synced
Predictable Infrastructure Billing

Select Your GPU Cloud Configuration

Entry

GPU Cloud - Starter Plan

$149/mo
CPU:2 vCPU AMD EPYC
RAM:4 GB ECC DDR5
Storage:80 GB Gen4 NVMe
Bandwidth:5 TB @ 1 Gbps
Most Popular

GPU Cloud - Professional Plan

$372.5/mo
CPU:4 vCPU AMD EPYC
RAM:16 GB ECC DDR5
Storage:240 GB Gen4 NVMe
Bandwidth:10 TB @ 1 Gbps
Maximum Power

GPU Cloud - Enterprise Ultra

$745/mo
CPU:8 vCPU AMD EPYC
RAM:32 GB ECC DDR5
Storage:500 GB Gen4 NVMe
Bandwidth:20 TB @ 10 Gbps

GPU Cloud Hardware & Network Specifications

GPU HardwareNVIDIA A100 / H100 / RTX 4090 / L40S
VRAM Capacity24 GB to 80 GB HBM3
InterconnectNVLink 900 GB/s Inter-GPU Bandwidth
FrameworksPyTorch, TensorFlow, CUDA 12.x, Ollama pre-installed
PCIeGen5 x16 Host Interface

Target Workloads & Production Use Cases

Generative AI & LLM Inference

Low-latency inference for Mistral, LLaMA-3, and custom fine-tuned models.

Computer Vision & Rendering

Blender rendering, video transcoding, and deep learning vision pipelines.

Ready to Deploy on Swift2Cloud?

Our cloud engineers can assist with sizing, architecture design, and migration with guaranteed zero downtime.