Specifications Compared
| Spec | RTX-5880-ADA | T4 |
|---|---|---|
| TDP | 285W | 70W |
| VRAM | 48 GB | 16 GB |
| CUDA Cores | 14,080 | 2,560 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 440 | 320 |
| FP16 Performance | 69.7 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 69.7 TFLOPS | 8.1 TFLOPS |
| INT8 Performance | 1,115 TOPS | 130 TOPS |
| Memory Bandwidth | 960 GB/s | 320 GB/s |
Performance Analysis
Compute performance differs dramatically: the RTX 5880 Ada achieves 69.7 TFLOPS in FP16 and FP32, compared to the T4's 8.1 TFLOPS, yielding over eight times the throughput for tensor operations. This gap accelerates deep learning training, where FP16 precision dominates, and FP32 for general compute, enabling the RTX 5880 Ada to complete epochs far quicker on large datasets.
Memory capacity and speed are pivotal: 48 GB VRAM on the RTX 5880 Ada supports massive models and batch sizes exceeding those feasible on the T4's 16 GB, preventing out-of-memory errors in inference or fine-tuning. The 960 GB/s bandwidth versus 320 GB/s minimizes bottlenecks, allowing larger batches and higher utilization in data-intensive workflows like Stable Diffusion generation.
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 5880 Ada
The RTX 5880 Ada excels in compute-intensive scenarios: its 69.7 TFLOPS and 48 GB VRAM make it ideal for LLM training and fine-tuning, where the T4's 8.1 TFLOPS and 16 GB fall short. High-bandwidth tasks benefit from 960 GB/s throughput, sustaining performance on complex scientific simulations or image generation.
When to Choose the T4
The T4 fits low-power, cost-effective inference: at 70W TDP and $0.53 per hour average $1.66 per hour, it efficiently runs smaller models within 16 GB VRAM limits. Scalable deployments favor its availability over the RTX 5880 Ada's current lack of live offers.
Use Cases
The RTX 5880 Ada's 48 GB VRAM and 69.7 TFLOPS handle large language models during training without memory constraints. The T4's 16 GB limits scalability on extensive datasets.
The T4's 70W TDP and $0.53 per hour pricing suit cost-sensitive, lightweight inference on smaller models. The RTX 5880 Ada provides excess capacity for such routine deployments.
Fine-tuning benefits from the RTX 5880 Ada's 960 GB/s bandwidth and 69.7 TFLOPS for rapid iterations on mid-sized models. The T4's 320 GB/s bandwidth slows progress.
Stable Diffusion demands 48 GB VRAM for high-resolution generations without paging, paired with 69.7 TFLOPS for speed. The T4's 16 GB restricts output quality.
Scientific simulations leverage the RTX 5880 Ada's 69.7 TFLOPS FP32 and 48 GB VRAM for complex calculations. The T4's lower specs constrain problem sizes.
Frequently Asked Questions
Which GPU has higher FP16 performance?▾
The RTX 5880 Ada delivers 69.7 TFLOPS in FP16, surpassing the T4's 8.1 TFLOPS by over eight times. This advantage speeds up machine learning inference and training. Both match FP16 to FP32 internally.
How much VRAM do they have?▾
The RTX 5880 Ada provides 48 GB GDDR6 VRAM, while the T4 offers 16 GB GDDR6. Larger VRAM on the RTX enables bigger models and batches. This gap affects suitability for LLMs.
What is the memory bandwidth difference?▾
RTX 5880 Ada achieves 960 GB/s bandwidth, three times the T4's 320 GB/s. Higher bandwidth supports larger batch sizes in training. It reduces data transfer bottlenecks.
Which has lower power consumption?▾
The T4 consumes 70W TDP, far below the RTX 5880 Ada's 285W. Lower TDP suits dense server racks and edge use. It aligns with cost savings at $0.53 per hour.
Is the T4 available for cloud rental?▾
The T4 has six live offers from $0.53 per hour, averaging $1.66 per hour. The RTX 5880 Ada currently lacks live offers. Availability drives T4 adoption for immediate needs.
What architectures do they use?▾
RTX 5880 Ada uses Ada Lovelace from 2024, while T4 employs Turing from 2018. The newer architecture yields superior efficiency in FP16 tasks. Six years separate their releases.
Which is cheaper to rent, the RTX 5880 Ada or the T4?▾
Cloud rental prices for both the RTX 5880 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 5880 Ada have compared to the T4?▾
The RTX 5880 Ada has 48 GB of GDDR6 memory. The T4 has 16 GB of GDDR6 memory.
Can I find RTX 5880 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 5880 Ada and the T4?▾
The RTX 5880 Ada uses the Ada Lovelace architecture (2024) while the T4 uses Turing (2018). The RTX 5880 Ada delivers 8.6x the FP16 throughput and 3.0x the memory bandwidth of the T4.