Specifications Compared
| Spec | RTX-5880-ADA | RTX-A4000 |
|---|---|---|
| TDP | 285W | 140W |
| VRAM | 48 GB | 16 GB |
| CUDA Cores | 14,080 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 440 | 192 |
| FP16 Performance | 69.7 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 69.7 TFLOPS | 19.2 TFLOPS |
| INT8 Performance | 1,115 TOPS | |
| Memory Bandwidth | 960 GB/s | 448 GB/s |
Performance Analysis
The RTX 5880 Ada demonstrates superior raw compute: 69.7 TFLOPS in FP16 and FP32 exceeds the RTX A4500's 23.7 TFLOPS by nearly three times. This advantage accelerates deep learning training cycles and inference throughput, particularly for models relying on half-precision FP16 without heavy tensor core usage. FP32 parity on both GPUs ensures consistent single-precision scientific simulations. Memory specifications further differentiate them: 48 GB VRAM on the 5880 Ada versus 20 GB allows loading full large language models, while 960 GB/s bandwidth compared to 640 GB/s supports larger batch sizes and reduces data starvation in training. The A4500's lower 200 W TDP versus 285 W improves efficiency in multi-GPU setups constrained by power or cooling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the RTX 5880 Ada
Select the RTX 5880 Ada for memory-bound workloads: its 48 GB VRAM accommodates training or fine-tuning of large language models exceeding 70B parameters without model parallelism. The 960 GB/s bandwidth and 69.7 TFLOPS enable high-resolution Stable Diffusion generations or scientific computing with massive datasets, where the A4500's 20 GB limit would require compromises.
When to Choose the RTX A4500
Choose the RTX A4500 for cost-sensitive deployments: pricing from $0.10 per hour suits prototyping or inference on models under 30B parameters with its 20 GB VRAM. The 200 W TDP facilitates denser cloud instances compared to the 285 W draw of the 5880 Ada, and 23.7 TFLOPS handles fine-tuning efficiently at lower expense.
Use Cases
The 48 GB VRAM and 69.7 TFLOPS on the RTX 5880 Ada support larger batch sizes and models compared to the A4500's 20 GB and 23.7 TFLOPS.
48 GB VRAM fits unquantized large models for low-latency serving; 960 GB/s bandwidth outperforms the A4500's 640 GB/s.
A4500's 20 GB VRAM and $0.10 per hour pricing suffice for smaller models; 5880 Ada's 48 GB excels for parameter-heavy fine-tuning.
69.7 TFLOPS and 960 GB/s bandwidth accelerate high-resolution image generation beyond the A4500's 23.7 TFLOPS capacity.
48 GB VRAM handles large simulations; 69.7 TFLOPS FP32 provides three times the A4500's 23.7 TFLOPS for complex computations.
Frequently Asked Questions
Which GPU has more VRAM: RTX 5880 Ada or RTX A4500?▾
The RTX 5880 Ada has 48 GB GDDR6 VRAM, exceeding the RTX A4500's 20 GB GDDR6. This difference benefits memory-intensive AI tasks. Bandwidth follows suit at 960 GB/s versus 640 GB/s.
What are the FP32 performance differences?▾
RTX 5880 Ada delivers 69.7 TFLOPS FP32, nearly three times the RTX A4500's 23.7 TFLOPS. FP16 matches these figures on both. Training speeds improve proportionally on the 5880 Ada.
How do power requirements compare?▾
RTX 5880 Ada requires 285 W TDP, higher than the RTX A4500's 200 W. The A4500 suits power-limited environments. Both use PCIe form factors.
What is the cloud pricing for these GPUs?▾
RTX A4500 offers start at $0.10 per hour, averaging $0.19 per hour across four providers. No live offers exist for RTX 5880 Ada. Pricing favors the A4500 for testing.
Which is newer: RTX 5880 Ada or RTX A4500?▾
RTX 5880 Ada uses 2024 Ada Lovelace architecture, versus the A4500's 2021 Ampere. The newer design yields higher specs across VRAM, bandwidth, and TFLOPS.
Can RTX A4500 handle LLM inference?▾
RTX A4500's 20 GB VRAM supports inference for models up to 30B parameters with quantization. RTX 5880 Ada's 48 GB handles larger unquantized models better.
Which is cheaper to rent, the RTX 5880 Ada or the RTX A4000?▾
Cloud rental prices for both the RTX 5880 Ada and RTX A4000 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 RTX A4000?▾
The RTX 5880 Ada has 48 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 5880 Ada and RTX A4000 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 RTX A4000?▾
The RTX 5880 Ada uses the Ada Lovelace architecture (2024) while the RTX A4000 uses Ampere (2021). The RTX 5880 Ada delivers 3.6x the FP16 throughput and 2.1x the memory bandwidth of the RTX A4000.