NVIDIA T4 VS NVIDIA T4G

Choosing between **T4** and **T4G** depends on your specific AI workload requirements. Currently, you can rent these GPUs starting from **$0.11/h** and **$0.23/h** respectively across 11 providers.

NVIDIA

T4

VRAM 16GB
FP32 8.1 TFLOPS
TDP 70W
From $0.11/h 10 providers
NVIDIA

T4G

VRAM 16GB
FP32 8.1 TFLOPS
TDP 70W
From $0.23/h 1 providers

📊 Detailed Specifications Comparison

Specification T4 T4G Difference
Architecture & Design
Architecture Turing Turing -
Process Node 12nm 12nm -
Target Market datacenter datacenter -
Form Factor Single-slot PCIe AWS Instance -
Memory & Bandwidth
VRAM Capacity 16GB 16GB
Memory Type GDDR6 GDDR6 -
Memory Bandwidth 320 GB/s 320 GB/s
Memory Bus Width 256-bit 256-bit -
Compute Infrastructure
CUDA Cores 2,560 2,560
Tensor Cores (AI) 320 N/A
AI & Compute Performance (TFLOPS)
FP32 (Single Precision) 8.1 TFLOPS 8.1 TFLOPS
FP16 (Half Precision) 65 TFLOPS N/A
Power & Efficiency
TDP (Thermal Design Power) 70W 70W
PCIe Interface PCIe 3.0 x16 PCIe 3.0 x16 -

🎯 Use Case Recommendations

🧠

LLM & Large Model Training

NVIDIA T4

Higher VRAM capacity and memory bandwidth are critical for training large language models. The T4G offers 16GB compared to 16GB.

AI Inference

NVIDIA T4

For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.

💰

Budget-Conscious Choice

NVIDIA T4

Based on current cloud pricing, the T4 starts at a lower hourly rate.

Automated Comparison

Technical Deep Dive: T4 vs T4G

Both GPUs utilize the NVIDIA Turing architecture. The primary difference lies in their compute core counts. From a cost perspective, the **T4** is currently about **52% cheaper** per hour, offering better value for budget-conscious projects.

NVIDIA T4 is Best For:

  • AI inference
  • Video transcoding
  • Large model training

NVIDIA T4G is Best For:

  • ARM-based AI inference
  • x86 native workloads

Frequently Asked Questions

Which GPU is better for AI training: T4 or T4G?

For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The T4 offers 16GB of GDDR6 memory with 320 GB/s bandwidth, while the T4G provides 16GB of GDDR6 with 320 GB/s bandwidth. Both GPUs have similar VRAM capacity, so performance characteristics become the deciding factor.

What is the price difference between T4 and T4G in the cloud?

Cloud GPU rental prices vary by provider and region. Based on our data, T4 starts at $0.11/hour while T4G starts at $0.23/hour. This represents a 52% price difference.

Can I use T4G instead of T4 for my workload?

It depends on your specific requirements. If your model fits within 16GB of VRAM and you don't need the additional throughput of the T4, the T4G can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the T4's architecture may be essential.

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