AI + HPC Hybrid Workhorse
Ideal for mainstream model training (BERT, transfer learning) and double-precision HPC workloads.
// 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.
- 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
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
$971.08€851£731.43A$1374.02S$1241.35₹92971.75/moDeploy Now
// a30 pricing
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 compute
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 GHzMemory128 GB
Storage2x960GB SSD
Network1 Gbps100 TB
LocationAmsterdamNetherlands
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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
* Select your OS and panel at checkout
// why redswitches for a30
What You Get With Every NVIDIA A30 Server
Every RedSwitches NVIDIA A30 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 A30 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.
// compared with cloud
RedSwitches A30 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 A30 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 |
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
- 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
Compute Throughput
// why a30
What Makes A30 Exceptional
A balanced AI and HPC workhorse with industry-leading efficiency and secure MIG virtualization.
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.
// use cases
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.
Trusted by Enterprise Teams Worldwide
Read all RedSwitches reviews, or see them on Google, HostAdvice, Cryptwerk and Trustpilot.
// faqs
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.
// need help
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.