Rent NVIDIA Tesla T4 Cloud Instances
📊 Pricing at a Glance
NVIDIA Tesla T4 rental pricing ranges from $0.53/GPU/hr to $4.35/GPU/hr across 7 instances from 2 providers (updated June 2026).
Looking for a specific provider? See AWS NVIDIA Tesla T4, or ThunderCompute NVIDIA Tesla T4.
Available Offers
Compare the top 5 cheapest offers from 2 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 4 vCPU 16GB RAM | Virginia | $0.53/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 8 vCPU 32GB RAM | Virginia | $0.75/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 16 vCPU 64GB RAM | Virginia | $1.20/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 32 vCPU 128GB RAM | Virginia | $2.18/GPU/hr | |||
AWS | 4×NVIDIA Tesla T4 16GB VRAM | 16GB | 48 vCPU 192GB RAM | Virginia | $0.98/GPU/hr $3.91/hr total (4×) |
QuantaCloud
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Technical Specifications
Strengths & Limitations
- Excellent power efficiency (70W TDP)
- Strong inference performance, especially for INT8 and FP16 workloads
- Low profile form factor for easy deployment in various servers
- Support for NVIDIA TensorRT for optimized inference
- Suitable for virtual desktop infrastructure (VDI) deployments
- Lower compute performance compared to higher-end Tesla GPUs like V100 or A100
- Limited memory capacity compared to newer GPUs
- Not ideal for large-scale training workloads
- GDDR6 memory is slower than HBM2 found in higher-end GPUs
Top Use Cases
Accelerating inference tasks for image recognition, natural language processing, and other AI applications. The T4's Tensor Cores provide significant speedups for INT8 and FP16 inference.
Efficiently transcoding video streams for various formats and resolutions. The T4's dedicated hardware encoders and decoders improve transcoding performance and reduce CPU load.
Providing a smooth and responsive experience for virtual desktops. The T4's graphics capabilities enable users to run demanding applications and multimedia content in a virtualized environment.
Real-World Benchmark
Market Analysis
The NVIDIA Tesla T4 occupies a mid-range position in the cloud GPU market, offering a balance of performance and cost-effectiveness. It is a popular choice for inference workloads where high throughput and low latency are critical. While newer GPUs like the L4 offer improved performance, the T4 remains a viable option for budget-conscious users. Compared to the RTX series, the Tesla T4 is designed for server environments and optimized for 24/7 operation. At $0.15/hr, it's positioned as an accessible option for scaling inference tasks. Cheaper options like the GTX 1070 ($0.04/hr) exist, but lack the Tensor Cores and optimizations for AI inference.
Frequently Asked Questions
What is the typical power consumption of the Tesla T4?â–¾
The Tesla T4 has a TDP (Thermal Design Power) of 70W, making it very power-efficient.
What software frameworks are supported by the Tesla T4?â–¾
The Tesla T4 supports all major deep learning frameworks, including TensorFlow, PyTorch, and Caffe. It also works seamlessly with NVIDIA TensorRT for optimized inference.
Is the Tesla T4 suitable for gaming?â–¾
While the Tesla T4 can technically run games, it is not designed for gaming. GeForce or Quadro cards are better suited for gaming workloads due to their optimized drivers and features.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is updated in real-time from 2+ cloud providers.