Specifications Compared
| Spec | RTX-4000-ADA | RTX-5880-ADA |
|---|---|---|
| TDP | 130W | 285W |
| VRAM | 20 GB | 48 GB |
| CUDA Cores | 6,144 | 14,080 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 192 | 440 |
| FP16 Performance | 26.7 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 26.7 TFLOPS | 69.7 TFLOPS |
| INT8 Performance | 427 TOPS | 1,115 TOPS |
| Memory Bandwidth | 360 GB/s | 960 GB/s |
Performance Analysis
The RTX 5880 Ada surpasses the RTX 4000 Ada in raw compute with 69.7 TFLOPS versus 26.7 TFLOPS in FP16 and FP32, enabling 2.6 times faster matrix operations critical for deep learning training and inference. This delta accelerates gradient computations in training by handling larger models without proportional time increases and speeds up inference for real-time applications. Memory differences prove equally vital: 48 GB VRAM versus 20 GB supports models exceeding 20 GB, such as large language models, preventing out-of-memory errors during fine-tuning or batch processing. The 960 GB/s bandwidth on the RTX 5880 Ada, compared to 360 GB/s, reduces data transfer bottlenecks, allowing larger batch sizes in training, which improves throughput by minimizing idle GPU time. Higher TDP at 285W reflects this capability but demands robust cooling, unlike the efficient 130W of the RTX 4000 Ada suited for lighter loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
When to Choose the RTX 4000 Ada
The RTX 4000 Ada suits cost-sensitive deployments with immediate availability from $0.09 per hour across nine cloud offers at an average of $0.22 per hour. Its 130W TDP fits power-constrained environments, and 20 GB VRAM handles small to medium models effectively for inference or fine-tuning tasks under 20 GB. Developers prioritizing affordability and quick access over peak performance select this GPU for prototyping or production inference where 26.7 TFLOPS suffices.
When to Choose the RTX 5880 Ada
The RTX 5880 Ada excels in memory-intensive workloads requiring 48 GB VRAM and 960 GB/s bandwidth for large-scale training or inference with models exceeding 20 GB. Its 69.7 TFLOPS in FP16 and FP32 deliver 2.6 times the performance of the RTX 4000 Ada, ideal for accelerating fine-tuning or scientific simulations. Users with high-power budgets choose it for maximum throughput despite lacking current cloud offers.
Use Cases
The RTX 5880 Ada provides 48 GB VRAM and 69.7 TFLOPS to manage large datasets and models that exceed the RTX 4000 Ada's 20 GB limit. Its 960 GB/s bandwidth supports bigger batches for efficient training.
With 69.7 TFLOPS FP16 performance, the RTX 5880 Ada handles high-throughput inference for large models better than the 26.7 TFLOPS of the RTX 4000 Ada. The extra 48 GB VRAM accommodates multiple concurrent requests.
Fine-tuning benefits from the RTX 5880 Ada's 2.6 times higher compute at 69.7 TFLOPS and doubled VRAM capacity for parameter-efficient methods on bigger models. Bandwidth at 960 GB/s prevents bottlenecks during optimization.
Stable Diffusion workflows fit within 20 GB VRAM of the RTX 4000 Ada for standard resolutions, but the RTX 5880 Ada's 48 GB enables higher resolutions or batch generations. Both deliver adequate 26.7 or 69.7 TFLOPS for image synthesis.
The RTX 5880 Ada's 69.7 TFLOPS FP32 and 48 GB VRAM accelerate simulations with large arrays, outperforming the RTX 4000 Ada's 26.7 TFLOPS and 20 GB. Higher 960 GB/s bandwidth aids data-heavy computations.
Frequently Asked Questions
What is the VRAM difference between RTX 4000 Ada and RTX 5880 Ada?▾
The RTX 4000 Ada has 20 GB GDDR6 VRAM, while the RTX 5880 Ada offers 48 GB GDDR6. This 2.4 times increase allows the RTX 5880 Ada to load larger models without swapping to system memory. Both use the Ada Lovelace architecture.
How do their compute performances compare?▾
The RTX 4000 Ada delivers 26.7 TFLOPS in FP16 and FP32, compared to 69.7 TFLOPS on the RTX 5880 Ada, a 2.6 times advantage. This impacts training speed and inference latency directly. FP32 parity on both supports general computing tasks.
What are the power requirements?▾
The RTX 4000 Ada has a 130W TDP, making it suitable for low-power setups. The RTX 5880 Ada requires 285W, over twice as much, for its enhanced capabilities. Both are PCIe form factors.
Is there cloud pricing available for these GPUs?▾
RTX 4000 Ada offers start from $0.09 per hour with an average of $0.22 per hour across nine live providers. The RTX 5880 Ada has no live cloud offers currently. Pricing reflects availability differences.
Which has higher memory bandwidth?▾
The RTX 5880 Ada provides 960 GB/s bandwidth versus 360 GB/s on the RTX 4000 Ada, a 2.7 times improvement. This enables larger batch sizes in AI workloads. Both use GDDR6 memory.
Are they from the same generation?▾
Both GPUs use the Ada Lovelace architecture, with RTX 4000 Ada from 2023 and RTX 5880 Ada from 2024. Shared architecture ensures compatibility in software stacks. Performance scales with specs like VRAM and TFLOPS.
Which is cheaper to rent, the RTX 4000 Ada or the RTX 5880 Ada?▾
Cloud rental prices for both the RTX 4000 Ada and RTX 5880 Ada 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 4000 Ada have compared to the RTX 5880 Ada?▾
The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find RTX 4000 Ada and RTX 5880 Ada 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 4000 Ada and the RTX 5880 Ada?▾
The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 2.6x the FP16 throughput and 2.7x the memory bandwidth of the RTX 4000 Ada.