RedSwitches is a dedicated server provider that has expanded into GPU offerings. While the company is still relatively early in building out its GPU cloud presence, it’s positioning itself in the dedicated server space — an approach that appeals to users who want bare-metal performance without the abstraction layers of typical cloud platforms.
Why RedSwitches stands out
RedSwitches comes from the dedicated server world, which means their DNA is in providing raw hardware rather than managed cloud services. For users who prefer full control over their machines and don’t need the hand-holding of a polished cloud UI, this can be a plus. Their GPU dedicated server lineup targets workloads that benefit from sustained, long-term access to hardware rather than on-demand, pay-by-the-minute billing.
Pros
- Dedicated hardware — you’re not sharing resources on a multi-tenant cloud; you get the full machine
- Bare-metal performance — no virtualization overhead eating into your GPU compute
- Straightforward dedicated server model — familiar territory if you’ve worked with traditional hosting providers
Cons
- Limited cloud features — no Kubernetes, no Jupyter notebooks, no Docker support, no API access out of the box; you’re managing everything yourself
- No spot or reserved instance pricing — the flexible billing options common on major GPU clouds aren’t available here
- Sparse GPU selection — the current lineup is narrow compared to providers like Vast.ai or Lambda that offer dozens of GPU types
- No persistent storage features — you’ll need to handle your own storage and backup strategy
- Ease of use is minimal — expect to do significant setup and configuration work yourself
- Enterprise features are limited — no SOC 2 compliance or other enterprise-grade certifications listed
Getting started
- Visit the RedSwitches website and browse their GPU dedicated server options
- Select a server configuration that fits your workload requirements
- Complete the order process — expect a provisioning period typical of dedicated servers
- Once your server is delivered, SSH in and configure your GPU environment (drivers, CUDA, frameworks) manually
- Deploy your workloads directly on the bare metal
Best for: Users who want dedicated GPU hardware with full root access and are comfortable handling their own software stack — particularly for long-running training jobs or inference workloads where sustained bare-metal performance matters more than cloud convenience.