NVIDIATuring Architecture

Rent NVIDIA T4

The NVIDIA Tesla T4 is a low-profile, energy-efficient GPU designed for mainstream inference and cloud workloads. It excels in accelerating deep learning inference, video transcoding, and virtual desktops. Built on the Turing architecture, the T4 offers a balance of performance and power efficiency,...
Current availabilityNo stock

Check the latest offers below

📊 Pricing at a Glance

No live on-demand availability right now. No provider with live stock tracking reports NVIDIA T4 in stock. Last seen from $0.27/GPU/hr on ThunderCompute (listed on-demand pricing, not verified in stock).

Cheapest In Stock
None
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Most Expensive In Stock
None
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Median In-Stock Price
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Offers Reported In Stock
0
Providers With Stock
0
Latest Stock Observation
No recent live observation

GPUPerHour tracks 7 listings for NVIDIA T4 from 2 providers, none of which is confirmed in stock on-demand right now. They are listed below as last-seen pricing.

Looking for a specific provider? See ThunderCompute NVIDIA T4.

Available Offers

No on-demand offer is reported in stock by a provider with live stock tracking right now.

0 offers available

Other Tracked Listings (Last-Seen Pricing)

7 further listings GPUPerHour tracks for this GPU. These catalog rows do not qualify as current secure on-demand offers; stock observations may be missing or old. They are not confirmed in stock; check availability with the provider.

ProviderListed per GPU / hrPricing typeAvailability
ThunderCompute$0.27on-demandCheck provider
AWS$0.53on-demandCheck provider
AWS$0.75on-demandCheck provider
AWS$0.98on-demandCheck provider
AWS$1.20on-demandCheck provider
AWS$2.18on-demandCheck provider
AWS$4.35on-demandCheck provider

T4 Availability Now

No provider with live stock tracking reports T4 in stock on-demand right now. Stock is rechecked every minute; tracked catalog listings are shown above as last-seen pricing.

T4 Price History (daily)

The daily T4 price series has no captured day yet. Prices are captured every day at 00:05 UTC from secure on-demand offers reported in stock; the first row appears here after the first capture. See the Cloud GPU Price Index for the method.

Notify me when T4 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold.

T4 Catalog Listing History (30 days)

Catalog listings, not live prices.

These averages are of every tracked catalog listing, including spot, reserved, out-of-stock and older rows. They do not measure live on-demand prices or availability (the daily price history table above does that) and cannot establish savings against the current offers. Each day averages its recorded catalog snapshots; the median gives each day equal weight. Missing days are excluded.

Lowest daily catalog average$1.10/GPU/hr
Median of daily catalog averages$1.10/GPU/hr
Days with recorded catalog prices30 of 30
Latest catalog snapshotOctober 19, 2026

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Technical Specifications

CUDA cores
2560
Memory type
16 GB GDDR6
Tensor cores
320
FP8 performance
N/A
Memory bandwidth
320 GB/s

Strengths & Limitations

Advantages
  • 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
Limitations
  • 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

Deep Learning Inference

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.

Video Transcoding

Efficiently transcoding video streams for various formats and resolutions. The T4's dedicated hardware encoders and decoders improve transcoding performance and reduce CPU load.

Virtual Desktop Infrastructure (VDI)

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

Inference Performance on ResNet-50
The Tesla T4 delivers competitive inference performance on ResNet-50 and other popular deep learning models, especially when using TensorRT for optimization. Expect throughput in the range of several hundred images per second for ResNet-50 INT8 inference.
Illustrative cost, generated estimate$0.15/hr

Market Analysis

Generated market commentary, not current pricing. Live prices and stock are in the sections above.

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.

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

NVIDIA L4

Offers improved performance and efficiency compared to the T4, making it a good upgrade option for inference workloads.

NVIDIA RTX A2000

A lower cost alternative, suitable for lighter workloads and virtual workstations. Offers similar features but with lower performance.

NVIDIA A10

Offers a balance of compute and graphics capabilities, suitable for a wider range of workloads including VDI and AI inference.

Cite This Data
This pricing data is updated daily and free to cite with attribution.
Source: GPUPerHour.com — NVIDIA T4 GPU Rental Pricing Comparison (October 2026)

Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is checked periodically from 2 cloud providers tracking this GPU.

T4 Pricing: What It Costs in 2026

â–¾

No provider with live stock tracking reports T4 in stock on-demand right now. The lowest listed on-demand price GPUPerHour last saw was $0.27/GPU/hr on ThunderCompute, across 7 tracked listings from 2 providers. Listed prices are catalog prices and may not be bookable.

How T4 Compares

â–¾

Compared to alternatives, the NVIDIA L4 offers another hardware option; follow the link for current prices. Offers improved performance and efficiency compared to the T4, making it a good upgrade option for inference workloads. The NVIDIA RTX A2000 offers another hardware option; follow the link for current prices. A lower cost alternative, suitable for lighter workloads and virtual workstations. Offers similar features but with lower performance. The NVIDIA A10 offers another hardware option; follow the link for current prices. Offers a balance of compute and graphics capabilities, suitable for a wider range of workloads including VDI and AI inference.

T4 Pricing FAQ

How much does T4 cost per hour?â–¾

No provider with live stock tracking currently reports T4 in stock on-demand. The lowest listed on-demand price GPUPerHour last saw was $0.27 per GPU per hour on ThunderCompute, across 7 tracked on-demand listings from 2 providers. Listed prices are catalog prices and may not be bookable right now.

What are the alternatives to T4?â–¾

Alternatives to the T4 include NVIDIA L4, NVIDIA RTX A2000, NVIDIA A10. Offers improved performance and efficiency compared to the T4, making it a good upgrade option for inference workloads.