Wide GPU Selection
DatabaseMart 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 Hosting, Hosted Whisper Transcription
Experience seamless OpenAI Whisper hosting with DatabaseMart. Enjoy reliable transcription services that enhance your workflow and boost productivity.
Choose Your Whisper Transcription Hosting Plans
Database Mart 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
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro P1000
- Microarchitecture: Pascal
- CUDA Cores: 640
- GPU Memory: 4GB GDDR5
- FP32 Performance: 1.894 TFLOPS
Flash Sale to June 4th
Basic GPU Dedicated Server - T1000
- 64GB RAM
- Eight-Core Xeon E5-2690
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia Quadro T1000
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 8GB GDDR6
- FP32 Performance: 2.5 TFLOPS
Flash Sale to June 4th
Basic GPU Dedicated Server - GTX 1650
- 64GB RAM
- Eight-Core Xeon E5-2667v3
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1650
- Microarchitecture: Turing
- CUDA Cores: 896
- GPU Memory: 4GB GDDR5
- FP32 Performance: 3.0 TFLOPS
Basic GPU Dedicated Server - GTX 1660
- 64GB RAM
- Dual 10-Core Xeon E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPS
Professional GPU Dedicated Server - RTX 2060
- 128GB RAM
- Dual 10-Core E5-2660v2
- 120GB + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 2060
- Microarchitecture: Ampere
- CUDA Cores: 1920
- Tensor Cores: 240
- GPU Memory: 6GB GDDR6
- FP32 Performance: 6.5 TFLOPS
Flash Sale to June 4th
Advanced GPU Dedicated Server - RTX 3060 Ti
- 128GB RAM
- Dual 12-Core E5-2697v2
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- 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
- Eight-Core E5-2690
- 120GB SSD + 960GB SSD
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia GeForce RTX 4060
- 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
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPS
New Arrival
Multi-GPU Dedicated Server- 2xRTX 5090
- 256GB RAM
- Dual Gold 6148
- 240GB SSD + 2TB NVMe + 8TB SATA
- 1Gbps
- OS: Windows / Linux
- GPU: 2 x GeForce RTX 5090
- 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
- Dual 18-Core E5-2697v4
- 240GB SSD + 2TB NVMe + 8TB SATA
- 100Mbps-1Gbps
- OS: Windows / Linux
- GPU: Nvidia A100
- 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
- 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 DatabaseMart for Whisper STT Hosting?
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.
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
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.
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 the Whisper server before the payment?
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.