Specifications Compared
| Spec | A100 | RTX-5880-ADA |
|---|---|---|
| TDP | 400W | 285W |
| VRAM | 40-80 GB | 48 GB |
| CUDA Cores | 6,912 | 14,080 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 440 |
| FP16 Performance | 312 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 1,115 TOPS |
| Memory Bandwidth | 2,039 GB/s | 960 GB/s |
Performance Analysis
Key spec differences reveal distinct strengths in real-world applications. The A100's 2039 GB/s bandwidth dwarfs the RTX 5880 Ada's 960 GB/s, enabling larger batch sizes in training: models process data 2.1 times faster without bottlenecks. Its 312 TFLOPS FP16 vastly exceeds the 69.7 TFLOPS on the RTX 5880 Ada, accelerating mixed-precision training common in deep learning by up to 4.5 times. Conversely, the RTX 5880 Ada's equal 69.7 TFLOPS FP16 and FP32 outperforms the A100's 19.5 TFLOPS FP32 by 3.6 times, favoring single-precision tasks like simulations or graphics. For inference, the A100 handles high-throughput scenarios via NVLink scaling, while the RTX 5880 Ada's 48 GB VRAM supports slightly larger models than the A100's 40 GB, though slower bandwidth limits batch efficiency. Power efficiency tilts toward the RTX 5880 Ada at 285W versus 400W, reducing cooling demands in single-node setups. Overall, bandwidth and FP16 dominance make the A100 ideal for memory-intensive AI pipelines.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 397GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) | |||
Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
When to Choose the A100 SXM4 40GB
Opt for the A100 SXM4 40GB in datacenter environments requiring multi-GPU scaling via NVLink or InfiniBand. Its 2039 GB/s bandwidth and 312 TFLOPS FP16 excel in LLM training with large batches, where cloud availability from $1.00 per hour enables cost-effective scaling across six providers.
When to Choose the RTX 5880 Ada
Select the RTX 5880 Ada for workstation deployments needing 48 GB VRAM and 69.7 TFLOPS FP32 performance. Its 285W TDP and Ada Lovelace features suit single-GPU inference or rendering, offering 3.6 times the A100's FP32 throughput despite lacking current cloud offers.
Use Cases
The A100's 312 TFLOPS FP16 and 2039 GB/s bandwidth support massive batch sizes essential for efficient LLM training. The RTX 5880 Ada's 69.7 TFLOPS FP16 falls short for such compute-intensive tasks.
High bandwidth of 2039 GB/s on the A100 enables larger inference batches with lower latency. NVLink scaling further advantages multi-GPU inference over the RTX 5880 Ada's single PCIe setup.
A100's 40 GB HBM2e and 312 TFLOPS FP16 accelerate fine-tuning of large models via mixed precision. Superior bandwidth prevents data stalls compared to the RTX 5880 Ada's 960 GB/s.
RTX 5880 Ada's Ada Lovelace architecture and 69.7 TFLOPS FP32 optimize generative tasks like Stable Diffusion. Its 48 GB VRAM handles high-resolution generations more readily than the A100's 40 GB.
A100 suits bandwidth-heavy simulations with 2039 GB/s; RTX 5880 Ada fits FP32-dominant codes at 69.7 TFLOPS. Choice depends on multi-GPU needs versus single-node efficiency.
Frequently Asked Questions
Which GPU has higher memory bandwidth?▾
The A100 SXM4 40GB provides 2039 GB/s with HBM2e, over twice the RTX 5880 Ada's 960 GB/s GDDR6. This difference impacts batch sizes in AI workloads significantly.
What are the FP16 performance differences?▾
A100 delivers 312 TFLOPS FP16, 4.5 times the RTX 5880 Ada's 69.7 TFLOPS. This makes A100 preferable for mixed-precision training tasks.
Is the RTX 5880 Ada available in the cloud?▾
No live cloud offers exist for the RTX 5880 Ada currently. The A100 SXM4 40GB starts at $1.00 per hour across six providers, averaging $2.53 per hour.
Which has more VRAM?▾
RTX 5880 Ada offers 48 GB GDDR6 versus A100's 40 GB HBM2e. However, A100's bandwidth compensates in high-throughput scenarios.
What is the power consumption comparison?▾
RTX 5880 Ada uses 285W TDP, lower than A100's 400W. This favors RTX 5880 Ada in power-constrained workstations.
Can these GPUs scale in multi-GPU setups?▾
A100 supports NVLink and InfiniBand for efficient multi-GPU communication. RTX 5880 Ada relies solely on PCIe, limiting scalability.
Which is cheaper to rent, the A100 or the RTX 5880 Ada?▾
Cloud rental prices for both the A100 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 A100 have compared to the RTX 5880 Ada?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find A100 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 A100 and the RTX 5880 Ada?▾
The A100 uses the Ampere architecture (2020) while the RTX 5880 Ada uses Ada Lovelace (2024). The A100 delivers 4.5x the FP16 throughput and 2.1x the memory bandwidth of the RTX 5880 Ada.