Specifications Compared
| Spec | RTX-2000-ADA | T4 |
|---|---|---|
| TDP | 70W | 70W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 2,816 | 2,560 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 88 | 320 |
| FP16 Performance | 12 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 12 TFLOPS | 8.1 TFLOPS |
| INT8 Performance | 192 TOPS | 130 TOPS |
| Memory Bandwidth | 288 GB/s | 320 GB/s |
Performance Analysis
The RTX 2000 Ada's 12 TFLOPS FP16 and FP32 ratings surpass the T4's 8.1 TFLOPS by 48 percent: this advantage accelerates neural network training and inference, enabling faster iterations on models fitting within 16 GB VRAM. For example, FP32 dominance aids general-purpose computing, while FP16 boosts mixed-precision training common in deep learning pipelines.
Memory bandwidth reveals a reversal: the T4's 320 GB/s exceeds the RTX 2000 Ada's 288 GB/s by 11 percent, supporting larger batch sizes in inference scenarios before bottlenecks occur. Both GPUs share identical 16 GB GDDR6 capacity, limiting them to mid-sized models, yet the T4's edge suits bandwidth-sensitive tasks like high-throughput serving.
At matched 70 W TDPs, neither demands excessive cooling, favoring dense cloud racks: real-world throughput hinges on workload, with the RTX 2000 Ada's compute lead prevailing in FLOPS-bound jobs and the T4 holding ground in memory-intensive ones.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 2000 Ada Generation 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.24/GPU/hr |
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 2000 Ada
The RTX 2000 Ada excels in compute-heavy workloads: its 12 TFLOPS FP16 and FP32 ratings deliver 48 percent more performance than the T4's 8.1 TFLOPS for training and inference on models under 16 GB. Cloud users benefit from pricing at $0.14 per hour average $0.29 per hour, versus the T4's higher costs.
Select it for modern Ada Lovelace features in PCIe deployments needing efficiency without bandwidth primacy.
When to Choose the T4
The T4 suits memory bandwidth-critical applications: 320 GB/s throughput supports larger batches than the RTX 2000 Ada's 288 GB/s, ideal for high-volume inference servers. Six live cloud offers provide broader availability over the RTX 2000 Ada's three.
Legacy Turing compatibility justifies choice in established pipelines prioritizing bandwidth over raw compute.
Use Cases
RTX 2000 Ada's 12 TFLOPS FP32 exceeds T4's 8.1 TFLOPS by 48 percent for faster convergence on 16 GB models. Lower $0.29 per hour average cost supports extended runs.
Higher 12 TFLOPS FP16 enables quicker token generation than T4's 8.1 TFLOPS. Pricing from $0.14 per hour maximizes throughput per dollar.
Ada Lovelace's 12 TFLOPS FP16/FP32 speeds parameter updates over T4's 8.1 TFLOPS baselines. 16 GB VRAM handles typical datasets efficiently.
12 TFLOPS compute accelerates diffusion steps versus T4's 8.1 TFLOPS. Cost advantage at average $0.29 per hour favors iterative image generation.
RTX 2000 Ada's 12 TFLOPS FP32 aids simulations, but T4's 320 GB/s bandwidth helps data-parallel codes. Choice depends on bandwidth versus compute balance.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 2000 Ada leads with 12 TFLOPS FP16 and 12 TFLOPS FP32 versus the T4's 8.1 TFLOPS each. This 48 percent gain benefits training and inference tasks. Both share 16 GB GDDR6 VRAM.
What are the current cloud prices?▾
RTX 2000 Ada starts at $0.14 per hour, averaging $0.29 per hour across three offers. T4 begins at $0.53 per hour, averaging $1.66 per hour across six offers. Pricing favors the newer GPU.
Do they have the same power draw?▾
Both GPUs consume 70 W TDP in PCIe form factors. This low power suits edge and cloud density. No interconnect differences noted.
Which has better memory bandwidth?▾
T4 provides 320 GB/s, surpassing RTX 2000 Ada's 288 GB/s by 11 percent. Higher bandwidth aids large-batch inference. VRAM matches at 16 GB GDDR6.
What architectures do they use?▾
RTX 2000 Ada employs 2024 Ada Lovelace architecture for advanced features. T4 uses 2018 Turing, optimized for data center inference. Compute specs reflect the six-year gap.
Are they suitable for the same workloads?▾
Both handle 16 GB models at 70 W, ideal for light ML inference. RTX 2000 Ada excels in compute via 12 TFLOPS; T4 in bandwidth at 320 GB/s.
Which is cheaper to rent, the RTX 2000 Ada or the T4?▾
Cloud rental prices for both the RTX 2000 Ada 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 2000 Ada have compared to the T4?▾
The RTX 2000 Ada has 16 GB of GDDR6 memory. The T4 has 16 GB of GDDR6 memory.
Can I find RTX 2000 Ada 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 2000 Ada and the T4?▾
The RTX 2000 Ada uses the Ada Lovelace architecture (2024) while the T4 uses Turing (2018). The RTX 2000 Ada delivers 1.5x the FP16 throughput and 1.1x the memory bandwidth of the T4.