On-Demand GPUs for
AI and training
Deploy NowSynteq delivers the best price-to-performance GPUs on the market for AI, machine learning, LLMs, and media workloads.
Configure Your GPU Server
RTX PRO 6000
Flagship GPU for enterprise AI training and rendering
VRAM
96GB ECC
RAM
100GB DDR5 ECC
Storage
500GB NVMe
Bandwidth
340TB @ 10Gbps
$775/mo
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Enterprise Hardware
Reliable enterprise-grade servers and infrastructure from trusted brands like Supermicro, Arista, APC, AMD, and Intel.
Fiber Network
Redundant fiber connectivity with multiple upstreams, direct peering, and diverse paths for maximum uptime.
Local Support
All support is handled by actual Synteq staff who know our infrastructure inside and out. No outsourced help desks.
Custom Solutions
Tailored hosting solutions for personal or business needs, designed around your budget and requirements.
Compliance
Our facilities are Audited under SOC 1 Type II, SOC 2 Type II, SOC 2 + HITRUST, GLBA, HIPAA, PCI-DSS, and NIST SP 800-53 annually.
Security
Secure two-factor authentication including biometric systems, CCTV surveillance with a minimum 90 days of retention, and 24/7 physical security.
Frequently Asked Questions
Still have questions? Chat with us.
A Cloud GPU gives you a fully dedicated GPU paired with a VDS in a private environment. You get full GPU access on your own virtualized server, ready for inference, rendering, training, and dev workloads.
Choose Cloud GPU when you need a full GPU and its capabilities instantly but don't need an entire dedicated server.
Yes. Each cloud GPU instance is a VDS with a fully dedicated, passthrough GPU. You get the entire card to yourself, so performance is consistently yours with no sharing or resource contention.
Absolutely. Your data and configuration can move to a dedicated GPU server when your workload outgrows the virtual tier.
You get full access to the GPU and can run whatever you need. For example, CUDA-based frameworks like PyTorch, TensorFlow, JAX, ONNX Runtime, and cuDNN
Your next GPU is a click away.
Full GPU access on your own VPS.