SynteqvsOther GPU Providers
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Prices shown as $/hour on-demand. Last updated Oct 2026.
Why teams pick Synteq
Dedicated, not time-sliced
Most clouds time-slice or fractionalize their GPUs to fit more tenants on the same card. Every GPU on Synteq is fully yours.
Bandwidth included
Most providers meter egress and bill for traffic on top of the GPU rate. Synteq includes bandwidth on every plan.
Actual availability
Most clouds gatekeep popular cards with quotas, approval forms, and capacity waitlists. On Synteq you can order every card in the lineup on demand.
Why Thousands of Customers Choose Synteq
99.99%
Uptime SLA
3+
Diverse Carriers
4+
Datacenters
15+
Dedicated Team Members
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.
Yes. Every GPU on Synteq is fully dedicated to you. No sharing, no time-slicing, no MIG splits unless you ask.
We carry a range of NVIDIA and Intel cards including the Arc Pro A40, RTX PRO 4000, RTX PRO 5000, and RTX PRO 6000. We can also source and deploy hardware on request.
Yes. Our GPU servers are designed for sustained utilization with enterprise cooling and power delivery. Run full-tilt workloads around the clock.
Yes. We offer multi-GPU servers for distributed training and high-throughput inference. Talk to us about custom builds.
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.
Most GPU instances deploy in minutes. Live stock availability is shown on each plan so you know what's ready to go before you click.
Higher value GPUs without the catch.
Deploy instantly with no contracts.