Specifications Compared
| Spec | RTX-4070 | T4 |
|---|---|---|
| TDP | 200W | 70W |
| VRAM | 12 GB | 16 GB |
| CUDA Cores | 5,888 | 2,560 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 320 |
| FP16 Performance | 29.1 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 8.1 TFLOPS |
| INT8 Performance | 466 TOPS | 130 TOPS |
| Memory Bandwidth | 504 GB/s | 320 GB/s |
Performance Analysis
Compute performance defines the core gap: the RTX 4070 Ti achieves 40.1 TFLOPS in both FP16 and FP32, over four times the T4's 8.1 TFLOPS. This accelerates deep learning training where FP16 precision dominates, enabling quicker iterations on large datasets, and boosts inference throughput for real-time applications.
Memory characteristics influence workload feasibility: the T4's 16 GB VRAM supports bigger models than the RTX 4070 Ti's 12 GB, but the latter's 504 GB/s bandwidth versus 320 GB/s permits larger batch sizes in bandwidth-bound tasks like image generation. Ada Lovelace tensor cores enhance mixed-precision efficiency beyond Turing.
Power and pricing tilt economics: the T4's 70 W TDP suits dense clusters, yet the RTX 4070 Ti's 285 W pairs with $0.08/hr starting rates for superior perf-per-dollar in single-GPU setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
Tesla 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 4070 Ti
Select the RTX 4070 Ti for compute-intensive tasks demanding speed. Its 40.1 TFLOPS FP32 performance outpaces the T4's 8.1 TFLOPS in training and fine-tuning, while 504 GB/s bandwidth handles high-throughput inference. Cloud rates from $0.08/hr (average $0.22/hr) deliver unmatched value for burst workloads.
When to Choose the Tesla T4
The Tesla T4 fits low-power, memory-heavy inference deployments. With 16 GB VRAM exceeding the RTX 4070 Ti's 12 GB, it accommodates larger models without swapping, and 70 W TDP enables server density. It serves reliable, always-on services despite higher $0.53/hr minimum pricing.
Use Cases
The RTX 4070 Ti's 40.1 TFLOPS FP16 vastly exceeds the T4's 8.1 TFLOPS, speeding up gradient computations and epochs.
RTX 4070 Ti offers higher 40.1 TFLOPS throughput for speed, but T4's 16 GB VRAM suits larger models without quantization.
40.1 TFLOPS FP32 on RTX 4070 Ti accelerates parameter updates over T4's 8.1 TFLOPS, with lower $0.08/hr costs.
Higher 504 GB/s bandwidth on RTX 4070 Ti supports larger batches in diffusion steps compared to T4's 320 GB/s.
RTX 4070 Ti's 40.1 TFLOPS FP32 handles simulations faster than T4's 8.1 TFLOPS, aided by modern Ada architecture.
Frequently Asked Questions
How much VRAM do they have?▾
RTX 4070 Ti has 12 GB GDDR6X, while T4 provides 16 GB GDDR6. T4 edges out for very large models. RTX 4070 Ti compensates with 504 GB/s bandwidth versus 320 GB/s.
What are the cloud rental prices?▾
RTX 4070 Ti starts at $0.08/hr with $0.22/hr average across 5 offers. T4 begins at $0.53/hr averaging $1.66/hr over 6 offers. RTX 4070 Ti offers better value.
Compare their power consumption.▾
RTX 4070 Ti TDP is 285 W, far above T4's 70 W. T4 enables more efficient multi-GPU setups. High TDP on RTX 4070 Ti suits peak performance needs.
Which is newer?▾
RTX 4070 Ti uses 2023 Ada Lovelace architecture with advanced tensor cores. T4 relies on 2018 Turing. Newer design improves AI precisions like FP8.
Best for inference?▾
RTX 4070 Ti excels in high-volume inference via 40.1 TFLOPS and low $0.08/hr pricing. T4 fits memory-bound cases with 16 GB VRAM at lower power.
Which is cheaper to rent, the RTX 4070 or the T4?▾
Cloud rental prices for both the RTX 4070 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 4070 have compared to the T4?▾
The RTX 4070 has 12 GB of GDDR6X memory. The T4 has 16 GB of GDDR6 memory.
Can I find RTX 4070 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 4070 and the T4?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the T4 uses Turing (2018). The RTX 4070 delivers 3.6x the FP16 throughput and 1.6x the memory bandwidth of the T4.

