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NVIDIA  RTX  A5000 GPU Server

24 GB ECC VRAM, CUDA & Tensor Cores, NVLink Support — Single-Slot Power for AI, Rendering, Virtualization & Creative 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 RTX A5000 GPU Server Price

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🚀 Core Specifications

  • GPU Architecture: NVIDIA Ampere GA102 with 8,192 CUDA cores, 256 Tensor cores, and 64 RT cores.
  • Memory: 24 GB ECC GDDR6 on 384‑bit bus, 768 GB/s bandwidth.
  • Performance:
    • FP32: ~27.8 TFLOPS
    • RT core throughput: ~54.2 TFLOPS
    • Tensor: ~222 TFLOPS
  • Form Factor & Power: Dual-slot PCIe 4.0 ×16, active cooling, 230 W TDP.
  • NVLink Support: Enables linking two A5000 GPUs for unified 48 GB memory and 112 GB/s interconnect.
  • Virtualization: Supports NVIDIA vGPU (vPC, vWS, vApps), SR‑IOV, and enterprise-grade drivers.
NVIDIA RTX A5000 GPU

⚡ Why Choose RTX A5000?

High‑memory AI & graphics performance

24 GB ECC VRAM handles large ML models, CAD environments, and high-res renders with stability and confidence.

Balanced compute & rendering

8K+ CUDA cores, RT cores, and Tensor cores deliver fast FP32, ray tracing, and AI acceleration in the same card.

Efficient dual-GPU scaling

NVLink bridge lets you combine two cards for 48 GB shared memory , ideal for heavy VFX, simulation, or dataset workloads.

Enterprise-grade virtualization

Leverage NVIDIA’s vGPU stack to run VDI, virtual workstations, or Multi-Tenant AI services seamlessly.

Efficient performance-per-watt

Uses only 230 W while providing workstation-level throughput and data-center readiness.

🎯 Ideal Use Cases

🎮 High-End 3D Rendering & Ray Tracing

Accelerate Omniverse, CAD, and VFX workloads with RT and Tensor cores delivering real-time lighting and AI-enhanced visuals.

🧠 AI Model Training & Inference

Train medium-sized custom transformers and run inference pipelines with 24 GB model capacity and Tensor acceleration.

🖥️ VDI & Virtual Workstations

Assign full virtual desktops to remote engineers or designers using NVIDIA RTX vWS/vPC.

🎥 Video Editing & Live Production

Edit 8K footage, VFX compositing, and live streaming with hardware NVENC/NVDEC.

📊 Data Analytics & Visualization

Power GPU-accelerated analytics (e.g., RAPIDS, large spreadsheets, visual dashboards).

☁️ Cloud Repatriation & Hybrid Workloads

Replace cloud GPU instances with predictable bare metal pricing, full hardware access, and 24/7 hosting.

  • ₹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
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  • ₹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 8 dual-slot cards in dense PCIe chassis, ideal for GPU farms, VDI clusters, or rendering nodes.

Yes, active cooling version is server-ready, and standard racks support this power envelope easily.

Provides 112 GB/s peer connection and 48 GB combined GPU memory ,  essential for multi-card workloads.

Prevents data corruption during long GPU tasks, crucial for rendering, simulations, and data integrity.

 Yes, offers pro-grade reliability, ECC, certified drivers, and virtualization support unlike GeForce cards.

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