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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‑1 global data centers
  • Unmetered 1/10/25 Gbps bandwidth
  • Crypto payments & 24/7 support included
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NVIDIA A30 Tensor Core GPU Server Price

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🚀 Core Specifications

  • 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
NVIDIA A30 Tensor Core GPU

⚡ What Makes A30 Exceptional?

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

🧠 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.

  • ₹0.00

CPU

1vCore

    • RAM
    • 1GB
    • Storage
    • 20GB
    • Traffic
    • 500GB
    • Location/Setup
    • NL
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  • ₹0.00

CPU

2vCore

    • RAM
    • 2GB
    • Storage
    • 40GB
    • Traffic
    • 500GB
    • Location/Setup
    • NL
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  • ₹0.00

CPU

4vCore

    • RAM
    • 4GB
    • Storage
    • 80GB
    • Traffic
    • 500GB
    • Location/Setup
    • NL
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  • ₹0.00

CPU

8vCore

    • RAM
    • 8GB
    • Storage
    • 160GB
    • Traffic
    • 1000GB
    • Location/Setup
    • NL
Order Now

  • ₹0.00

CPU

16vCores

    • RAM
    • 16GB
    • Storage
    • 320GB
    • Traffic
    • 1000GB
    • Location/Setup
    • NL
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Deployed a few Ethereum and Bitcoin nodes here. Uptime’s been flawless, and sync speed was great thanks to their storage config. I also appreciate that the network doesn’t choke under load—pretty rare in this space.
– Ervin Karu
Set up multiple Solana + Avalanche validators through them. Hardware was clean, latency was low (especially in Europe), and uptime’s been 100% so far. Not a fan of the billing panel UI, but performance-wise, they nailed it.
– Peppe Terranova
Been using RedSwitches for 6 months now for my small game server biz. Uptime has been great, and I haven’t run into any hidden charges (a big win compared to some others I’ve tried). Only downside is their dashboard could use a bit more polish, but the performance makes up for it.
– Jerold Perkins
As a sysadmin, I care more about control than flashy dashboards. RedSwitches gives me root access, IPMI, and actual hardware specs I can configure. It’s not babysitting-level managed, but that’s exactly what I want. Good for serious users.
– Eun-Woo Gim
Love that I could pick my exact CPU, RAM, and storage layout before deploying. It’s like ordering off a nerdy menu. Hardware showed up clean, zero issues, and remote management tools were solid.Very professional team keep it up.
– Mannes Evers
Been using their NVMe storage server for model checkpointing and backup rotation. IOPS have been solid and latency from our Frankfurt deployment is excellent. It’s a low-maintenance setup that just keeps running.
– Hye Cho
One thing I like about RedSwitches is they don’t nickel and dime you for everything. What you see is what you get. Been running AI workloads on a GPU server and haven’t had to stress over network caps or throttling. Support is decent too.
– Rain Kask
RedSwitches might not have the fanciest UI, but the backend is rock solid. Great routing, reliable hardware, and zero BS with pricing. If you know what you’re doing, it’s a power user’s dream.
– Ha-Joon Cho
We’re running Kubernetes nodes across multiple providers, and RedSwitches’ bare metal servers are a great foundation for that. Clean installs, fast provisioning, and full root made orchestration super easy.
– Byeong-Ho Namgung
Wasn’t expecting my server to be ready so fast, but RedSwitches delivered in like 10 minutes. Perfect for a last-minute deployment I had to spin up. Specs were solid, and everything just worked. Huge time-saver.
– Everette Leon
I’ve been through a few dedicated hosts over the years and RedSwitches is probably the smoothest experience I’ve had. Clean OS installs, real-time monitoring tools, and pricing that’s actually clear. Not perfect, but close.
– Artur Laine
I’m running several streaming instances on RedSwitches, and their 10Gbps servers have been rock solid. Even during peak traffic, the bandwidth held up. Performance and stability are better than what I got from previous providers.
– Benedictus Hout
The fact that I could deploy a high-memory server in under 30 minutes was wild. Used it to run some LLM workloads for a client project. It worked beautifully. Also loved that support didn't push upsells.
– Jun-Ho Namgung
Deployed a few LLMs on their GPU instances. Ran benchmarks and everything checked out. Cooling and power consistency seem solid—haven't noticed any throttling even under heavy load. Would love a better GPU selection UI though.
– Ervin Laine
Running crypto nodes on a 25gbps pipe now. Insane stability. No more random net drops. Cloud egress fees were eatin our margins alive. RS baremetal solved that day 1.
– Kristen Ottosen
Tired of vendor lock-in from cloud services, so I moved my infra here. RedSwitches gives me raw power and zero fluff. Works great with our Dockerized setup and gives me way more control than GCP ever did.
– Valentijn Veenstra
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Deep Dive & FAQs

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

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

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

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

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 are here to help!

We will consult, architect, migrate, manage and do whatever it takes to help your business grow and succeed.

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