NVIDIA A30 Tensor Core GPU Server | RedSwitches
// gpu compute

NVIDIA A30 Tensor Core GPU Server

Versatile AI & HPC Power with 24 GB HBM2, 933 GB/s Bandwidth & MIG Partitioning. Ideal for Efficient Multi-Tenant & Scalable Workloads.

  • Provisioned in 10 minutes
  • 20+ Tier III global data centers
  • Unmetered 1/10/25 Gbps bandwidth
  • Crypto payments & 24/7 support included
Starting FromLive Pricing
Low-Cost A30 Build2x NVIDIA A30
CPU
2x AMD EPYC 7402
Cores
48C / 96T
RAM
128 GB
Storage
2x960GB SSD
Network
1 Gbps · 100 TB
Location
Amsterdam, Netherlands
$973.12/moDeploy Now

NVIDIA A30 Tensor Core GPU Server Price

Single and multi-GPU A30 builds on bare metal. No setup fee, full root access, and unmetered 1/10/25 Gbps uplinks.

GPU Dedicated Servers

Enterprise NVIDIA GPUs on bare metal for AI and HPC.

GPU2x NVIDIA A3024 GB/GPU · 3,584 CUDAVRAM24 GB / GPUCUDA Cores3,584Tensor Cores224TFLOPS10.3AI
Server
RecommendedTop Deal · 50% Off
2x AMD EPYC 740248C / 96T · 2.8 GHz
Memory128 GB
Storage2x960GB SSD
Network1 Gbps100 TB
LocationAmsterdamNetherlands
Price
$973.12/mo
Deploy Now
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

NVIDIA A30 Core Specifications

Ampere GA100 silicon with 24 GB HBM2, 933 GB/s bandwidth, and MIG partitioning at a 165 W envelope.

GPU Architecture
NVIDIA Ampere GA100-based Tensor Cores & Mig-enabled
Compute Throughput
TF32
165 TFLOPS
FP64
10.3 TFLOPS
FP32
10.3 TFLOPS
Memory
24 GB HBM2, 933 GB/s bandwidth
Power
165 W TDP, PCIe Gen 4 ×16, passive cooling
MIG Support
Up to 4 hardware-isolated GPU instances
NVLink
Supports up to two A30s linked for multi-GPU workloads

What Makes A30 Exceptional

A balanced AI and HPC workhorse with industry-leading efficiency and secure MIG virtualization.

AI + HPC Hybrid Workhorse

Ideal for mainstream model training (BERT, transfer learning) and double-precision HPC workloads.

Industry-Leading Efficiency

Achieves 10x higher performance than T4 on TF32 models, with 2x boost using mixed precision

Secure & Scalable Virtualization

Leverage MIG to securely partition one physical GPU into four workloads, perfect for multi-tenant or varied application demands.

Energy Savvy Deployment

With 165 W TDP and passive cooling, it's perfect for efficient, dense rack configurations.

Ideal Use Cases

From BERT fine-tuning to multi-tenant inference, see where the A30 changes what your team can ship.

AI Training & Finetuning

Speed up BERT-Large pre-training and fine-tuning with TF32 acceleration.

Large-Scale Inference

Deploy multi-model inference sets using MIG or NVLink clusters.

HPC & Simulation Workloads

Support FP64 workflows, CFD, weather modeling, scientific computing.

Data Analytics & ETL Pipelines

Boost Spark or RAPIDS-enabled data processing with accelerated GPU cores.

Cloud Repatriation & Multi-Tenant AI

Replace cloud GPU instances, optimize hardware with partitioning, cut costs.

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Trusted in Production

Real reviews from Trustpilot, HostAdvice, Cryptwerk, and Google.

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    Trustpilot
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    HostAdvice
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    Cryptwerk
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    Trustpilot
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    Trustpilot
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    Cryptwerk
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    HostAdvice
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    HostAdvice
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    A dedicated server has been installed within 30 minutes. Thirty minutes. It takes DAYS for some famous providers out there, but these guys do their work right.
    Ярослав СавенковNetherlands
    Trustpilot
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    I have been using their services for over 5+ years… Uptime: 10/10, Network: 10/10, Hardware Quality: 10/10, Customer Support: 20/10 (No, That’s Not A Typo).
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    Trustpilot
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    Trustpilot
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    Cryptwerk
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    Very good experience using their bare metal servers. Their customer service is one of the finest I have experienced - always prompt at resolving troubles. Highly recommend.

Deep Dive & FAQs

Common questions about A30 MIG instances, NVLink pairing, thermals, and software support.

How many MIG instances can I run?

Up to 4 isolated A30 GPU slices, each with dedicated memory and cores, great for concurrent workloads.

Can I link multiple A30s?

Yes, you can use NVLink bridged pairs for combined GPU memory and faster interconnects.

Is 165 W TDP manageable?

Absolutely, passive cooling architecture supports high-density deployment in data center environments.

Is MIG useful beyond GPU virtualization?

Yes, ideal for DevOps, multiple model serving, or isolated inference deployments within one GPU.

Does it support full AI/HPC software stack?

Yes, verified support for CUDA 11+, TensorRT, cuDNN, RAPIDS, HPC libraries, MLPerf benchmarks, and enterprise 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.