OpenAI Whisper Hosting, Hosted
Whisper Transcription

Experience seamless OpenAI Whisper hosting with DatabaseMart. Enjoy reliable
transcription services that enhance your workflow and boost productivity.

  • Windows or Linux OS
  • Full Root/Admin Access
  • Support RDP/SSH Access
  • 24/7 technical support from real humans
  • Dedicated high-performance GPU (no sharing)

Choose Your Whisper Transcription Hosting Plans

Infotronics Integrators (I) Pvt. Ltd offers best budget GPU servers for OpenAI's Whisper. Cost-effective hosted Whisper AI transcription is ideal for hosting your own speech recognition (ASR) service

Express GPU Dedicated Server - P1000


  • 32GB RAM
  • GPU: Nvidia Quadro P1000
  • Eight-Core Xeon E5-2690
  • (8 Cores & 16 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Pascal
  • CUDA Cores: 640
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 1.894
         TFLOPS



    • Basic GPU Dedicated Server - T1000


  • 64GB RAM
  • GPU: Nvidia Quadro T1000
  • Eight-Core Xeon E5-2690
  • (8 Cores & 16 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Turing
  • CUDA Cores: 896
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 2.5
        TFLOPS



    • Basic GPU Dedicated Server - GTX 1650


  • 64GB RAM
  • GPU: Nvidia GeForce GTX 1650
  • Eight-Core Xeon E5-2667v3
  • (8 Cores & 16 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Turing
  • CUDA Cores: 896
  • GPU Memory: 4GB GDDR5
  • FP32 Performance: 3.0
         TFLOPS

    • Basic GPU Dedicated Server - GTX 1660


  • 64GB RAM
  • GPU: Nvidia GeForce GTX 1660
  • Dual 10-Core Xeon E5-2660v2
  • (20 Cores & 40 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Turing
  • CUDA Cores: 1408
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 5.0
         TFLOPS

    • Professional GPU Dedicated Server - RTX 2060

  • 128GB RAM
  • GPU: Nvidia GeForce RTX 2060
  • Dual 10-Core E5-2660v2
  • (20 Cores & 40 Threads)
  • 120GB + 960GB SSD
  • 100Mbps-1Gbps

    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 1920
  • Tensor Cores: 240
  • GPU Memory: 6GB GDDR6
  • FP32 Performance: 6.5
         TFLOPS



    • Advanced GPU Dedicated Server - RTX 3060 Ti

  • 128GB RAM
  • GPU: GeForce RTX 3060 Ti
  • Dual 12-Core E5-2697v2
  • (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps

    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 4864
  • Tensor Cores: 152
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 16.2
        TFLOPS



    • Basic GPU Dedicated Server - RTX 4060

  • 64GB RAM
  • GPU: Nvidia GeForce RTX 4060
  • Eight-Core E5-2690
  • (8 Cores & 16 Threads)
  • 120GB SSD + 960GB SSD
  • 100Mbps-1Gbps

    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 3072
  • Tensor Cores: 96
  • GPU Memory: 8GB GDDR6
  • FP32 Performance: 15.11
        TFLOPS

    • Enterprise GPU Dedicated Server - RTX 4090

  • 256GB RAM
  • GPU: GeForce RTX 4090
  • Dual 18-Core E5-2697v4
  • (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
        SATA
  • 100Mbps-1Gbps

    • OS: Windows / Linux
    Single GPU Specifications

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6
        TFLOPS


    • Multi-GPU
    Dedicated Server- 2xRTX 5090


  • 256GB RAM
  • GPU: 2 x GeForce RTX 5090
  • Dual Gold 6148
  • (40 Cores & 80 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
          SATA
  • 1Gbps


    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 20,480
  • Tensor Cores: 680
  • GPU Memory: 32 GB GDDR7
  • FP32 Performance: 109.7
        TFLOPS

    • Enterprise GPU Dedicated Server - A100


  • 256GB RAM
  • GPU: Nvidia A100
  • Dual 18-Core E5-2697v4
  • (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
         SATA
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    Single GPU Specifications:

  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2
  • FP32 Performance: 19.5
         TFLOPS

    • Which GPU should I rent for OpenAI Whisper AI

    Based on current benchmarks and specifications, here's a ranked list of the top 10 NVIDIA GPUs for running OpenAI Whisper AI, focusing on performance, efficiency, and suitability for various use cases:

    🏆 Top 10 NVIDIA GPUs for OpenAI Whisper AI

    Rank GPU Model VRAM FP32 Performance Whisper Model Support Notes
    1 NVIDIA A100 40–80GB 19.5 TFLOPS All Enterprise-grade; excels in batch processing and large-scale deployments.
    2 RTX 5090 32GB ~109.7 TFLOPS All Latest consumer GPU with significant performance gains over RTX 4090.
    3 RTX 4090 24GB ~82.6 TFLOPS All High-end consumer GPU; excellent for real-time transcription.
    4 RTX 3060 Ti 8GB 16.2 TFLOPS Medium / Large Great price-to-performance ratio; suitable for medium to large models.
    5 RTX 4060 8GB 15.11 TFLOPS Medium Power-efficient; supports medium models effectively.
    6 RTX 2060 6GB 6.5 TFLOPS Base / Small Older model; still viable for smaller models.
    7 GTX 1660 6GB 5.0 TFLOPS Base / Small Lacks Tensor Cores; functional for basic tasks.
    8 GTX 1650 4GB 3.0 TFLOPS Tiny / Base Limited VRAM; suitable for very small models.
    9 Quadro T1000 4GB 2.5 TFLOPS Tiny / Base Workstation GPU; compact and power-efficient.
    10 Quadro P1000 4GB 1.894 TFLOPS Tiny / Base Older workstation GPU; limited performance.

    Top Open Source Speech Recognition Models

    Here's a comparative overview of five prominent open-source speech recognition models: OpenAI Whisper, Kaldi, Facebook's Wav2Vec 2.0, Mozilla DeepSpeech, and Coqui STT.

    📊 Model Comparison

    Model Accuracy (WER) Speed & Efficiency Language Support Ease of Use Ideal Use Cases
    Whisper 2.7% (LibriSpeech Clean) Slower than Wav2Vec 2.0 Multilingual Moderate High-accuracy transcription in noisy settings
    Kaldi 3.8% (LibriSpeech Clean) Moderate Multilingual Complex Custom ASR pipelines, research applications
    Wav2Vec 2.0 1.8% (LibriSpeech Clean) Fast Primarily English Moderate Real-time transcription, low-resource setups
    DeepSpeech 7.27% (LibriSpeech Clean) Fast English Easy Lightweight applications, edge devices
    Coqui STT Similar to DeepSpeech Fast Multilingual Easy Real-time apps, multilingual support

    Note: Word Error Rate (WER) percentages are based on benchmark tests from various sources.

    🧠 Key Takeaways

    Why Choose Infotronics Integrators (I) Pvt. Ltd for Whisper STT Hosting?

    Infotronics Integrators (I) Pvt. Ltd enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.

    Intel Xeon CPU

    Wide GPU Selection

    Infotronics Integrators (I) Pvt. Ltd provides a diverse range of NVIDIA GPUs, including models like RTX 3060 Ti, RTX 4090, A100, and V100, catering to various performance needs for Whisper's different model sizes.

    SSD-Based Drives

    Premium Hardware

    Our GPU dedicated servers and VPS are equipped with high-quality NVIDIA graphics cards, efficient Intel CPUs, pure SSD storage, and renowned memory brands such as Samsung and Hynix.

    Full Root/Admin Access

    Dedicated Resources

    Each server comes with dedicated GPU cards, ensuring consistent performance without resource contention.

    99.9% Uptime Guarantee

    99.9% Uptime Guarantee

    With enterprise-class data centers and infrastructure, we provide a 99.9% uptime guarantee for hosted GPUs for deep learning and networks.

    Dedicated IP

    Secure & Reliable

    Enjoy 99.9% uptime, daily backups, and enterprise-grade security. Your data—and your art—is safe with us.


    24/7/365 Technical Support

    24/7/365 Free Expert Support

    Our dedicated support team is comprised of experienced professionals. From initial deployment to ongoing maintenance and troubleshooting, we're here to provide the assistance you need, whenever you need it, without extra fee.

    How to Install and Use Whisper ASR

    Learn how to install Whisper AI on Windows with this simple guide. Explore its powerful speech-to-text transcription capabilities today!



    Order and login a GPU server




    Install prerequisite libraries and tools




    Using Pip Install Whisper and and ffmpeg



    Use Whisper for Speech-to-text Transcription


    FAQs of OpenAI Whisper Hosting

    The most commonly asked questions about Whisper Speech to Text hosting service below.

    What's OpenAI Whisper AI?
    OpenAI Whisper is an automatic speech recognition (ASR) system—essentially, it’s an AI model that can convert spoken audio into written text. Think of it as a very powerful, open-source version of what powers voice assistants like Siri, or transcription tools like Otter.ai or Google Docs voice typing.
    1. Transcribe speech to text (in many languages), 2. Translate spoken audio from non-English languages into English, 3. Handle noisy or low-quality audio, 4. Perform language identification automatically
    Whisper large-v3 shows some notable strengths and limitations: Best alphanumeric transcription accuracy (3.84% WER) Decent performance across other categories.
    Whisper is only for transcription. If you want to auto translate you can use whisper to get the Transkription, translate to your required language and then use a text to speech model for generating the audio.
    Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English.
    Most servers are ready in under 40~120 minutes after purchase. You’ll receive connection instructions and access details by email.
    Whisper offers models ranging from Tiny (~1 GB VRAM) to Large (~10 GB VRAM). Larger models provide better accuracy but require more GPU memory. A modern multi-core CPU, at least 8 GB RAM, and a CUDA-compatible GPU enhance performance. Ensure compatibility with Python 3.8 or 3.9 and necessary libraries like PyTorch.
    Yes. You can enjoy a 3-day free trial if you leave us a "3 days trial" note when you place your Whisper AI hosting order.

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