Specifications Compared
| Spec | RTX-2070 | T4 |
|---|---|---|
| TDP | 175W | 70W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 2,304 | 2,560 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 320 |
| FP16 Performance | 7.5 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 8.1 TFLOPS |
| Memory Bandwidth | 448 GB/s | 320 GB/s |
Performance Analysis
Performance differences between the RTX 2070 and T4 stem from their FP16 and FP32 ratings: 7.5 TFLOPS on the RTX 2070 versus 8.1 TFLOPS on the T4. This slight edge for the T4 translates to marginally faster matrix operations in training pipelines, where FP32 precision dominates, and inference, where FP16 acceleration applies. Real-world training throughput improves by approximately 8 percent on the T4 for FP32-bound models.
Memory bandwidth favors the RTX 2070 at 448 GB/s over the T4's 320 GB/s, enabling larger batch sizes in bandwidth-limited scenarios like convolutional neural networks. The T4 counters with 16 GB VRAM against 8 GB, supporting bigger models or sequences without swapping, crucial for transformer-based inference.
Power efficiency differentiates deployments: the T4's 70 W TDP allows denser server packing compared to the RTX 2070's 175 W, reducing cooling costs in multi-GPU environments. Overall, spec deltas dictate workload fit, with bandwidth aiding RTX 2070 in high-throughput tasks and VRAM bolstering T4 for memory-intensive ones.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 2070
The RTX 2070 excels in cost-sensitive cloud workloads requiring high memory bandwidth. At 448 GB/s versus the T4's 320 GB/s, it handles larger batch sizes efficiently in tasks like image processing or Stable Diffusion generation. Pricing from $0.02 per hour, averaging $0.04, delivers superior value for experimentation or short bursts.
Users prioritizing NVLink interconnect for multi-GPU scaling select the RTX 2070, as the T4 lacks this feature.
When to Choose the T4
The T4 suits memory-constrained inference and large-model hosting with its 16 GB GDDR6 VRAM, double the RTX 2070's 8 GB. This capacity prevents out-of-memory errors in transformer deployments, complemented by 8.1 TFLOPS FP16 performance.
Low 70 W TDP enables high-density cloud instances, ideal for sustained enterprise inference where the RTX 2070's 175 W draw limits scalability.
Use Cases
The T4's 16 GB VRAM supports larger batch sizes and models compared to the RTX 2070's 8 GB. Its 8.1 TFLOPS FP32 aids training precision.
16 GB VRAM on the T4 accommodates bigger LLMs without fragmentation issues seen on the RTX 2070's 8 GB. Lower 70 W TDP suits prolonged serving.
RTX 2070's $0.02 per hour pricing and 448 GB/s bandwidth enable cost-effective iterations. 7.5 TFLOPS FP32 suffices for medium datasets.
Higher 448 GB/s bandwidth on RTX 2070 accelerates texture loading and generation over T4's 320 GB/s. Low $0.04 average cost fits iterative creative work.
Both offer similar 7.5 to 8.1 TFLOPS FP32 for simulations. Choice depends on VRAM needs (T4 16 GB) versus bandwidth (RTX 2070 448 GB/s).
Frequently Asked Questions
Which GPU has more VRAM: RTX 2070 or T4?▾
The T4 provides 16 GB GDDR6 VRAM, double the RTX 2070's 8 GB. This benefits memory-intensive tasks like large LLM inference. Bandwidth remains higher on RTX 2070 at 448 GB/s versus 320 GB/s.
How do cloud prices compare for RTX 2070 and T4?▾
RTX 2070 starts at $0.02 per hour, averaging $0.04 across two offers. T4 begins at $0.53 per hour, averaging $1.66 across six offers. Price favors RTX 2070 for budget workloads.
What are the FP32 performance differences?▾
T4 achieves 8.1 TFLOPS FP32, slightly above RTX 2070's 7.5 TFLOPS. This impacts training speed minimally, around 8 percent faster on T4. Both share Turing architecture.
Which has lower power consumption?▾
T4 draws 70 W TDP, far below RTX 2070's 175 W. This enables more GPUs per server rack. Efficiency suits dense inference farms.
Does RTX 2070 support NVLink?▾
RTX 2070 includes NVLink interconnect, absent on T4. This aids multi-GPU training coherence. PCIe form factor is common to both.
Are these GPUs suitable for machine learning?▾
Both Turing GPUs excel in ML with FP16/FP32 up to 8.1 TFLOPS. T4 targets inference via 16 GB VRAM; RTX 2070 offers bandwidth at 448 GB/s. Cloud pricing varies significantly.
Which is cheaper to rent, the RTX 2070 or the T4?▾
Cloud rental prices for both the RTX 2070 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 2070 have compared to the T4?▾
The RTX 2070 has 8 GB of GDDR6 memory. The T4 has 16 GB of GDDR6 memory.
Can I find RTX 2070 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 2070 and the T4?▾
The RTX 2070 uses the Turing architecture (2018) while the T4 uses Turing (2018). The T4 delivers 1.1x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2070.