Impossible Cloud Bare Metal GPU Servers review
A dedicated DGX option for large training clusters, billed per GPU card-hour.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Impossible Cloud Bare Metal GPU Servers rents dedicated NVIDIA DGX systems for AI training, fine-tuning, inference, research, and other compute-intensive workloads. The systems are aimed at mid-market and enterprise teams that need multi-node GPU capacity rather than shared GPU resources. GPU options include H100, H200, B200, and B300, with NVLink between GPUs and up to 400 Gbps InfiniBand networking between nodes. The vendor describes a cluster configuration reaching 288 GPUs, making the service most relevant to large LLM training efforts, not teams looking for a small general-purpose server.
The software fit covers several established training and inference stacks: PyTorch DDP, DeepSpeed, and Megatron-LM for training, plus vLLM, TensorRT-LLM, and SGLang for inference. Multi-node clusters support LLM training and fine-tuning, and inference workloads can use the named compatible engines. GPU resources are dedicated rather than shared, and the vendor says the systems have no virtualization layer. This focus suits teams planning distributed workloads around DGX hardware; it is less suited to buyers whose priority is a broad cloud platform or a modest single-server deployment.
Billing is usage-based per GPU card-hour, and the product has no free plan. The vendor publishes prices for selected large clusters with contract terms; GPU availability, configurations, regional availability, and pricing are presented on its site. Custom GPU, memory, and networking layouts can be requested, which gives large deployments room to specify hardware but makes the service a less direct fit for buyers seeking a fixed, off-the-shelf configuration. Email and ticket support are listed, with 24/7 support; the stated compliance set includes ISO 27001, GDPR, and PCI DSS. Choose it when dedicated DGX capacity and high-speed multi-node links matter; look elsewhere if you need a free option or a small, standardized setup.
Impossible Cloud Bare Metal GPU Servers pros and cons
- Where it wins
- Dedicated DGX GPUs run without shared resources or a virtualization layer.
- NVLink connects GPUs; InfiniBand networking reaches up to 400 Gbps between nodes.
- Supports multi-node training and tools including PyTorch DDP and DeepSpeed.
- Where it doesn't
- There is no free plan; usage is paid per GPU card-hour.
- The offering is focused on GPU-intensive AI and compute workloads.
- Custom GPU, memory, and networking configurations must be requested.
Impossible Cloud Bare Metal GPU Servers fact sheet, pricing and score →
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