Specifications Compared
| Spec | RTX-3060 | T4 |
|---|---|---|
| TDP | 170W | 70W |
| VRAM | 12 GB | 16 GB |
| CUDA Cores | 3,584 | 2,560 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 112 | 320 |
| FP16 Performance | 12.7 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 8.1 TFLOPS |
| Memory Bandwidth | 360 GB/s | 320 GB/s |
Performance Analysis
The RTX 3060 demonstrates superior raw compute with 12.7 TFLOPS in FP16 and FP32, a 57 percent increase over the T4's 8.1 TFLOPS in both formats. This advantage translates to faster model training, where FP16 tensor cores accelerate mixed-precision workloads, and FP32 supports precise gradient computations. Inference benefits similarly, with higher throughput for batch processing in deployment scenarios.
Memory bandwidth plays a critical role in workload efficiency: the RTX 3060's 360 GB/s enables larger batch sizes and quicker data transfers than the T4's 320 GB/s, minimizing stalls in memory-bound tasks like image generation or simulations. However, the T4's 16 GB VRAM capacity outperforms the RTX 3060's 12 GB for loading extensive models without offloading, crucial for large language model inference.
Power consumption differs significantly at 170W TDP for the RTX 3060 versus 70W for the T4, affecting scalability in multi-GPU setups. The RTX 3060 suits high-performance single-node jobs, while the T4 favors dense, low-energy clusters.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3060
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 168GB RAM 715GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
T4
| 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 | 4×NVIDIA Tesla T4 16GB VRAM | 16GB | 48 vCPU 192GB RAM | Virginia | $0.98/GPU/hr $3.91/hr total (4×) | |||
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 |
When to Choose the RTX 3060
The RTX 3060 stands out for compute-intensive applications requiring high throughput at minimal cost. Its 12.7 TFLOPS FP16 and FP32 performance, paired with 360 GB/s bandwidth, accelerates training and fine-tuning tasks 57 percent faster than the T4's 8.1 TFLOPS. Cloud pricing from $0.03 per hour (average $0.07) across 12 offers provides unmatched value for budget-limited projects.
Select the RTX 3060 when speed and affordability outweigh VRAM needs, such as in prototyping or mid-scale AI development.
When to Choose the T4
The T4 proves ideal for power-constrained environments and VRAM-heavy workloads. Its 70W TDP supports denser deployments than the RTX 3060's 170W, reducing cooling and infrastructure costs in large-scale inference farms. The 16 GB VRAM handles bigger models without fragmentation issues seen in the RTX 3060's 12 GB.
Choose the T4 for production inference serving where reliability and memory capacity justify the higher $0.53 per hour starting price (average $1.66 across 6 offers).
Use Cases
The RTX 3060's 12.7 TFLOPS FP16 outperforms the T4's 8.1 TFLOPS by 57 percent, enabling faster convergence on large datasets.
The T4's 16 GB VRAM accommodates larger LLMs without swapping, unlike the RTX 3060's 12 GB, suiting high-concurrency serving.
RTX 3060 provides 12.7 TFLOPS FP32 for efficient gradient updates and costs $0.07 per hour average versus T4's $1.66.
Higher 360 GB/s bandwidth and 12.7 TFLOPS on RTX 3060 speed up image generation batches compared to T4's 320 GB/s and 8.1 TFLOPS.
RTX 3060's 12.7 TFLOPS FP32 handles simulations 57 percent quicker than T4's 8.1 TFLOPS at lower cloud pricing.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 3060 achieves 12.7 TFLOPS in FP16 and FP32, surpassing the T4's 8.1 TFLOPS by 57 percent. This benefits training and inference workloads. Bandwidth also favors RTX 3060 at 360 GB/s over 320 GB/s.
Which is cheaper in the cloud?▾
RTX 3060 pricing starts at $0.03 per hour with an average of $0.07 across 12 offers. T4 begins at $0.53 per hour, averaging $1.66 across 6 offers. RTX 3060 offers better value for most tasks.
Does the T4 have more VRAM?▾
Yes, the T4 provides 16 GB GDDR6 compared to RTX 3060's 12 GB. This aids larger models in inference. RTX 3060 compensates with higher 360 GB/s bandwidth.
What are the power requirements?▾
RTX 3060 has a 170W TDP, while T4 uses 70W. Lower TDP on T4 enables higher density in clusters. Both use PCIe form factors.
Which architecture is newer?▾
RTX 3060 employs Ampere from 2021; T4 uses Turing from 2018. Ampere delivers improved tensor cores for 12.7 TFLOPS versus 8.1 TFLOPS.
Is RTX 3060 good for ML training?▾
Yes, its 12.7 TFLOPS FP16/FP32 and $0.07 average hourly rate make it superior for training over T4's 8.1 TFLOPS at $1.66 average.
Which is cheaper to rent, the RTX 3060 or the T4?▾
Cloud rental prices for both the RTX 3060 and T4 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 3060 have compared to the T4?▾
The RTX 3060 has 12 GB of GDDR6 memory. The T4 has 16 GB of GDDR6 memory.
Can I find RTX 3060 and T4 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 3060 and the T4?▾
The RTX 3060 uses the Ampere architecture (2021) while the T4 uses Turing (2018). The RTX 3060 delivers 1.6x the FP16 throughput and 1.1x the memory bandwidth of the T4.