Flagship AI/HPC performance
Delivers ~20× Volta speedups and up to 312 TFLOPS for training and inference workloads.
Flagship AI Power with Up to 80 GB HBM2e & 3rd-Gen Tensor Cores. Ideal for Deep Learning, Inference, HPC & Data Analytics.
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Single and multi-GPU A100 builds on bare metal. No setup fee, full root access, and unmetered 1/10/25 Gbps uplinks.
An engineer will reach out shortly to confirm availability and next steps.
Every server ships fully dedicated: no shared resources, no usage meters, no surprises.
* Select your OS and panel at checkout
Every RedSwitches NVIDIA A100 server is single-tenant bare metal with full root and IPMI access, unmetered 1, 10 or 25 Gbps bandwidth, no setup fee, no bandwidth overage and a flat monthly price. Stocked builds are online in about 1 hour, larger configurations up to 8 GPUs per node are built to order, volume and 6/12-month committed-term discounts apply, payments include crypto, and engineers answer 24/7.
Stocked NVIDIA A100 builds are online in about 1 hour. Configurations not in stock are built to order, and an engineer confirms the lead time before you commit.
No setup fee and a flat monthly price for the whole server. No per-hour meter and no surprise line items, so GPU spend is forecastable.
Unmetered 1, 10 or 25 Gbps uplinks are included, and whatever port speed you choose you can use all of it: no overage charges and no egress bills, ever. Moving datasets, checkpoints and model weights in and out costs nothing extra.
Single-tenant hardware with root and IPMI access. You choose the OS, drivers, CUDA or ROCm version, and the NVLink or MIG layout, and a private VLAN can link your RedSwitches servers.
Single and multi-GPU nodes, up to 8 GPUs per server with NVLink where the card supports it. Volume discounts on multi-GPU and multi-server orders, plus 6 and 12-month term savings.
Live chat, Telegram and email answered by engineers around the clock. Pay by card, PayPal, bank wire or crypto with no KYC, in 20+ Tier III data centers across the EU, US and Asia.
Same accelerator, different economics: what changes when the GPU sits in a dedicated server you control instead of a metered instance.
| RedSwitches A100 server | Typical cloud GPU instance | |
|---|---|---|
| Billing | Flat monthly price per server | Per-hour or per-second metering |
| Bandwidth | Unmetered 1/10/25 Gbps, use the full port, no overage or egress fees | Egress billed per GB |
| Private networking | Private VLAN between your servers on request | Paid VPC and peering constructs |
| Setup fee | $0 | Varies by instance and region |
| Tenancy | Single-tenant bare metal | Shared, virtualised hosts |
| Access | Root and IPMI, your OS and drivers | Hypervisor-managed images |
| Multi-GPU | Up to 8 per node, NVLink where supported, built to order | Fixed instance shapes |
| Payments | Card, PayPal, bank wire, crypto | Card or invoice |
| Support | 24/7 engineers on chat, Telegram and email | Ticket tiers, paid support plans |
Ampere GA100 silicon with up to 80 GB HBM2e, third-gen Tensor Cores, and MIG partitioning.
Flagship AI and HPC performance, elastic MIG slicing, and NVLink scaling on single-tenant bare metal.
Delivers ~20× Volta speedups and up to 312 TFLOPS for training and inference workloads.
MIG allows slicing GPU resources across diverse workloads, maximizing utilization.
NVLink and NVSwitch enable multi-GPU scaling up to 600 GB/s for HPC or training clusters.
40 or 80 GB HBM2(e) match workload needs from inference to LLM training.
Compatible with CUDA, TensorRT, MPI, MLPerf, PyTorch, TensorFlow, and HPC tools.
From deep-learning training to real-time finance, see where the A100 changes what your team can ship.
Handles large LLMs and transformer-based networks with swift TF32/BF16 performance.
MIG enables concurrent serving of multiple AI workloads with guaranteed isolation.
GNNs, fluid dynamics, and quantum simulations see dramatic speedups on A100 clusters.
Accelerates RAPIDS-based pipelines and real-time analytics with GPU compute.
World-class STAC-ML benchmarks show A100 excelling in financial inference and modeling
Replace cloud GPU VMs with predictable bare-metal performance and no bandwidth fees.
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Common questions about A100 form factors, MIG, multi-GPU scaling, and software support.
Enables up to 7 hardware-isolated GPU instances, ideal for secure multi-tenant or microservice AI deployment.
Yes, with NVLink or NVSwitch, clusters scale linearly up to 16 GPUs at 600 GB/s.
Our racks support up to 400 W GPUs with advanced cooling, suitable for both PCIe and SXM configurations.
Fully compatible with CUDA 11+, TensorRT, MLPerf, NVIDIA Magnum IO, InfiniBand, and popular frameworks.
No problem. Our talented engineers will consult, architect, migrate, manage, and do whatever it takes to help your business grow and succeed.