Specifications Compared
| Spec | GTX-1070 | T4 |
|---|---|---|
| TDP | 150W | 70W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 1,920 | 2,560 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 8.1 TFLOPS |
| Memory Bandwidth | 256 GB/s | 320 GB/s |
Performance Analysis
The T4's 16 GB VRAM doubles the GTX 1070's 8 GB, enabling larger models or batch sizes in training and inference without out-of-memory errors. Memory bandwidth of 320 GB/s on the T4 exceeds the GTX 1070's 256 GB/s by 25 percent, accelerating data transfers critical for high-throughput tasks like LLM inference.
Compute capabilities favor the T4 with 8.1 TFLOPS in FP16 and FP32, a 25 percent advantage over the GTX 1070's 6.5 TFLOPS; this boosts mixed-precision training speeds and inference latency. The equal FP16-to-FP32 ratio on both supports versatile deep learning pipelines, though the T4's Turing tensor cores enhance inference efficiency.
TDP disparity underscores deployment differences: the T4's 70W allows denser cloud racks versus the GTX 1070's 150W, reducing operational costs in large-scale environments.
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 GTX 1070
The GTX 1070 suits local setups where users own the hardware and prioritize gaming alongside light compute tasks. Its 8 GB VRAM and 6.5 TFLOPS FP32 handle basic fine-tuning or Stable Diffusion at 256 GB/s bandwidth without cloud dependency. Power-tolerant desktops make it viable for hobbyists avoiding T4's $0.53 per hour minimum.
When to Choose the T4
Opt for the T4 in cloud-based inference or training requiring efficiency, as its 70W TDP and pricing from $0.53 per hour across six offers minimize costs. The 16 GB VRAM supports larger LLMs, while 8.1 TFLOPS and 320 GB/s bandwidth excel in production workloads. Datacenter optimization favors scalable deployments over local GTX 1070 use.
Use Cases
The T4's 16 GB VRAM and 8.1 TFLOPS FP16 handle larger batches and models better than the GTX 1070's 8 GB and 6.5 TFLOPS. Higher 320 GB/s bandwidth accelerates training throughput.
T4's Turing tensor cores and 70W TDP optimize low-latency inference at scale, with 16 GB VRAM supporting bigger models. Cloud availability from $0.53 per hour adds cost efficiency over GTX 1070.
Double VRAM at 16 GB on T4 prevents memory constraints during fine-tuning, paired with 25 percent more compute at 8.1 TFLOPS. Lower power suits prolonged sessions.
GTX 1070's 8 GB VRAM suffices for standard resolutions at 6.5 TFLOPS, but T4's 16 GB enables higher resolutions or batches via 320 GB/s bandwidth.
T4's 8.1 TFLOPS FP32 and 70W efficiency outperform GTX 1070's 6.5 TFLOPS and 150W in simulations needing sustained compute and cloud scaling.
Frequently Asked Questions
Is the T4 faster than the GTX 1070?▾
Yes, the T4 delivers 8.1 TFLOPS in FP16 and FP32, surpassing the GTX 1070's 6.5 TFLOPS by 25 percent. Its 320 GB/s bandwidth also exceeds 256 GB/s for quicker data handling.
How much VRAM do these GPUs have?▾
The GTX 1070 provides 8 GB GDDR5 VRAM, while the T4 offers 16 GB GDDR6. This doubling on T4 supports larger ML models without issues.
What is the power consumption of GTX 1070 vs T4?▾
GTX 1070 has a 150W TDP, compared to T4's efficient 70W. Lower TDP on T4 enables cost savings in cloud deployments.
Can I rent a T4 in the cloud?▾
Yes, T4 cloud pricing starts at $0.53 per hour with an average of $1.66 per hour across six live offers. GTX 1070 has no current cloud availability.
Which is better for AI inference?▾
T4 excels with Turing architecture, 16 GB VRAM, and 8.1 TFLOPS optimized for inference. Its 70W TDP supports high-density serving unlike GTX 1070.
What architectures do they use?▾
GTX 1070 uses Pascal from 2016, while T4 employs Turing from 2018. Turing brings tensor core improvements for ML tasks.
Which is cheaper to rent, the GTX 1070 or the T4?▾
Cloud rental prices for both the GTX 1070 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 GTX 1070 have compared to the T4?▾
The GTX 1070 has 8 GB of GDDR5 memory. The T4 has 16 GB of GDDR6 memory.
Can I find GTX 1070 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 GTX 1070 and the T4?▾
The GTX 1070 uses the Pascal architecture (2016) while the T4 uses Turing (2018). The T4 delivers 1.2x the FP16 throughput and 1.3x the memory bandwidth of the GTX 1070.
