NVIDIA A100 Tensor Core GPU Server
// gpu compute

NVIDIA A100 Tensor Core GPU Server

Flagship AI Power with Up to 80 GB HBM2e & 3rd-Gen Tensor Cores. Ideal for Deep Learning, Inference, HPC & Data Analytics.

  • Online in 1 hour when in stock
  • 20+ Tier III global data centers
  • Unmetered 1/10/25 Gbps bandwidth
  • Crypto payments & 24/7 support included
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GPUA100

NVIDIA A100 Tensor Core GPU Server Price

Single and multi-GPU A100 builds on bare metal. No setup fee, full root access, and unmetered 1/10/25 Gbps uplinks.

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Bare Metal // Standard Equipment

All Bare Metal Plans Include

Every server ships fully dedicated: no shared resources, no usage meters, no surprises.

Setup Cost
Free
Provisioning
Instant & Automated
Access
KVM, IPMI, Root
Protection
DDoS Shield Included
Cores
Up to 128 (Dual Socket)
Memory
Up to 2TB RAM
Storage
Enterprise NVMe & SSD
Support
24/7/365 Human Engineers
OS & Panels
  • Ubuntu
  • Debian
  • AlmaLinux
  • Rocky Linux
  • CentOS
  • Windows Server
  • cPanel
  • Plesk
  • Proxmox
  • Docker

* Select your OS and panel at checkout

What You Get With Every NVIDIA A100 Server

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.

  • 1 hr

    Online When in Stock

    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.

  • $0

    Setup Fee, Flat Monthly

    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

    Bandwidth, No Egress Bills

    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.

  • 1 tenant

    Bare Metal, Full Control

    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.

  • Up to 8x

    Multi-GPU, Built to Order

    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.

  • 24/7

    Engineers, Not Bots

    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.

RedSwitches A100 Server vs a Typical Cloud GPU Instance

Same accelerator, different economics: what changes when the GPU sits in a dedicated server you control instead of a metered instance.

RedSwitches NVIDIA A100 dedicated server versus a typical hyperscale cloud GPU instance
RedSwitches A100 serverTypical cloud GPU instance
BillingFlat monthly price per serverPer-hour or per-second metering
BandwidthUnmetered 1/10/25 Gbps, use the full port, no overage or egress feesEgress billed per GB
Private networkingPrivate VLAN between your servers on requestPaid VPC and peering constructs
Setup fee$0Varies by instance and region
TenancySingle-tenant bare metalShared, virtualised hosts
AccessRoot and IPMI, your OS and driversHypervisor-managed images
Multi-GPUUp to 8 per node, NVLink where supported, built to orderFixed instance shapes
PaymentsCard, PayPal, bank wire, cryptoCard or invoice
Support24/7 engineers on chat, Telegram and emailTicket tiers, paid support plans

NVIDIA A100 Key Specifications

Ampere GA100 silicon with up to 80 GB HBM2e, third-gen Tensor Cores, and MIG partitioning.

GPU Architecture
NVIDIA Ampere GA100 with 312 TFLOPS mixed-precision tensor performance, 3rd-gen Tensor Cores
Variants & Memory
40 GB HBM2
1.555 TB/s bandwidth, 250 W (PCIe) / 400 W (SXM)
80 GB HBM2e
1.935 TB/s, 300 W (PCIe) / 400 W (SXM)
Multi-Instance GPU (MIG)
Up to 7 isolated GPU partitions per A100
NVLink/NVSwitch
Supports 2× NVLink (PCIe) or up to 16-GPU interconnect at 600 GB/s (SXM)
Compute Per Precision
FP64
9.7 TFLOPS
TF32
156 TFLOPS (312 effective)
FP16/BF16
312 TFLOPS (624 effective)
INT8
624 TOPS (1,248 sparse)
INT4
1,248 TOPS (2,496 sparse)

Why Choose A100

Flagship AI and HPC performance, elastic MIG slicing, and NVLink scaling on single-tenant bare metal.

Flagship AI/HPC performance

Delivers ~20× Volta speedups and up to 312 TFLOPS for training and inference workloads.

Elastic and cost-efficient

MIG allows slicing GPU resources across diverse workloads, maximizing utilization.

Scalable interconnects

NVLink and NVSwitch enable multi-GPU scaling up to 600 GB/s for HPC or training clusters.

Versatile memory options

40 or 80 GB HBM2(e) match workload needs from inference to LLM training.

Broad software ecosystem

Compatible with CUDA, TensorRT, MPI, MLPerf, PyTorch, TensorFlow, and HPC tools.

Ideal Use Cases

From deep-learning training to real-time finance, see where the A100 changes what your team can ship.

Deep Learning Training & Finetuning

Handles large LLMs and transformer-based networks with swift TF32/BF16 performance.

Multi-Model Inference Pipelines

MIG enables concurrent serving of multiple AI workloads with guaranteed isolation.

Scientific & HPC Applications

GNNs, fluid dynamics, and quantum simulations see dramatic speedups on A100 clusters.

Data Analytics & Large-Scale ETL

Accelerates RAPIDS-based pipelines and real-time analytics with GPU compute.

Low-latency Finance & Real-Time Workloads

World-class STAC-ML benchmarks show A100 excelling in financial inference and modeling

GPU-Powered Repatriation

Replace cloud GPU VMs with predictable bare-metal performance and no bandwidth fees.

Trusted by Enterprise Teams Worldwide

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Deep Dive & FAQs

Common questions about A100 form factors, MIG, multi-GPU scaling, and software support.

PCIe vs SXM?
  • SXM: Top-tier performance with 400 W TDP and full NVLink/NVSwitch support.
  • PCIe: Easier integration into existing racks. Offers similar MIG and software stack compatibility.
Why choose MIG?

Enables up to 7 hardware-isolated GPU instances, ideal for secure multi-tenant or microservice AI deployment.

Is scaling efficient?

Yes, with NVLink or NVSwitch, clusters scale linearly up to 16 GPUs at 600 GB/s.

Power and cooling?

Our racks support up to 400 W GPUs with advanced cooling, suitable for both PCIe and SXM configurations.

Is there cloud-stack support?

Fully compatible with CUDA 11+, TensorRT, MLPerf, NVIDIA Magnum IO, InfiniBand, and popular frameworks.

Not Sure Exactly What You Need

No problem. Our talented engineers will consult, architect, migrate, manage, and do whatever it takes to help your business grow and succeed.