Wide GPU Selection
Cloud Clusters 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.
OpenAI Whisper Service Hosting, Hosted Whisper Transcription
Experience seamless OpenAI Whisper hosting Service with Cloud Clusters. Enjoy reliable transcription services that enhance your workflow and boost productivity.
Pre-installed AI Whisper ASR Hosting
Cloud Clusters offers best budget GPU servers for OpenAI's Whisper. The Turbo model is already in place, an optimized version of Large-v3 that provides faster transcription with minimal loss in accuracy.
Basic GPU Dedicated Server - T1000
- 64GB RAM
- GPU: Nvidia Quadro T1000
- Eight-Core Xeon E5-2690
- 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
Hot Sale
Basic GPU Dedicated Server - RTX 4060
- 64GB RAM
- GPU: Nvidia GeForce RTX 4060
- Eight-Core E5-2690
- 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
Hot Sale
Basic GPU Dedicated Server - RTX 5060
- 64GB RAM
- GPU: Nvidia GeForce RTX 5060
- 24-Core Platinum 8160
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- Single GPU Specifications:
- Microarchitecture: Blackwell 2.0
- CUDA Cores: 4608
- Tensor Cores: 144
- GPU Memory: 8GB GDDR7
- FP32 Performance: 23.22 TFLOPS
Quick Start
If you selected a pre-installed Whisper hosting plan, please be patient while the system and related software are automatically installed. After delivery, open the illustrated panel in your Customer Dashboard, find the Whisper URL, username, and password, and you're ready to go.
User-friendly Whisper WebUI
This Whisper WebUI is a clean, user-friendly interface for speech-to-text and subtitle generation. Users can upload audio or video files directly, select a model (e.g., `large-v3-turbo`), set the language (with automatic detection), and choose an output format such as SRT.
It also offers convenient options like translating speech to English, appending timestamps to filenames, and advanced features including background music removal, voice detection, and speaker diarization. With a simple “Generate Subtitle File” button, it makes transcription and subtitle creation accessible even for non-technical users.
Use via API
At the bottom of the Whisper-WebUI page, find the "Use via API" link and click it to access the API documentation.
The Whisper API supports four call methods: Python, JavaScript, cURL, and MCP. You can choose any of these to interact with the Whisper API.
More GPU Server Recommendations for Whisper AI Hosting
Based on current benchmarks and specifications, here's a ranked list of the top 10 NVIDIA GPUs for running OpenAI Whisper Service, 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
- Whisper: Offers high accuracy, especially in noisy environments and for multilingual tasks, but may require more computational resources.
- Kaldi: Highly customizable and suitable for research, but has a steeper learning curve.
- Wav2Vec 2.0: Excels in scenarios with limited labeled data and offers fast processing, though primarily optimized for English.
- DeepSpeech: User-friendly and efficient for English transcription, suitable for applications with limited resources.
- Coqui STT: A continuation of DeepSpeech with added multilingual support, maintaining ease of use and efficiency.
Why Choose GPU for Hosted Whisper Service?
Database Mart enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.
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.
Dedicated Resources
Each server comes with dedicated GPU cards, ensuring consistent performance without resource contention.
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.
Secure & Reliable
Enjoy 99.9% uptime, daily backups, and enterprise-grade security. Your data—and your art—is safe with us.
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.
Self-hosted Whisper, Everything Under your Control
If you want to install and manage Whisper AI yourself. 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
Using Pip Install Whisper and and ffmpeg
Use Whisper for Speech-to-text Transcription
Hot Sale
Express GPU Dedicated Server - P1000
$ 37.74/mo
49% OFF Recurring (Was $74.00)
1mo3mo12mo24mo
Order Now- 32GB RAM
- GPU: Nvidia Quadro P1000
- Eight-Core Xeon E5-2690
- 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 - GTX 1650
$ 99.00/mo
1mo3mo12mo24mo
Order Now- 64GB RAM
- GPU: Nvidia GeForce GTX 1650
- Eight-Core Xeon E5-2667v3
- 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
$ 139.00/mo
1mo3mo12mo24mo
Order Now- 64GB RAM
- GPU: Nvidia GeForce GTX 1660
- Dual 8-Core Xeon E5-2660
- 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
$ 199.00/mo
1mo3mo12mo24mo
Order Now- 128GB RAM
- GPU: Nvidia GeForce RTX 2060
- Dual 8-Core E5-2660
- 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
More GPU Hosting Plansarrow_circle_right
FAQs of OpenAI Hosted Whisper Service
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.
What Can Whisper Do?
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
How accurate is the Whisper model?
Whisper large-v3 shows some notable strengths and limitations: Best alphanumeric transcription accuracy (3.84% WER) Decent performance across other categories.
Can Whisper AI do text to speech?
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.
What is Whisper AI used for?
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.
How quickly can I get started?
Most servers are ready in under 40~120 minutes after purchase. You’ll receive connection instructions and access details by email.
What are the requirements for running OpenAI Whisper ASR?
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.
Can I have a free trial for Hosted Whisper Service?
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.