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
FP16 performance reveals a clear leader for AI training: A100 PCIe 40GB achieves 312 TFLOPS, over four times the RTX 5880 Ada's 69.7 TFLOPS, accelerating half-precision matrix operations central to deep learning. RTX 5880 Ada's identical 69.7 TFLOPS FP32 surpasses A100's 19.5 TFLOPS, aiding single-precision inference or simulation where full precision matters more than tensor core peaks.
Memory bandwidth dictates real-world scalability: A100's 2039 GB/s HBM2e supports larger batch sizes in LLM training, minimizing data starvation compared to RTX 5880 Ada's 960 GB/s GDDR6. This gap affects model sizes; A100 handles 40 GB datasets fluidly, while RTX 5880 Ada's 48 GB capacity shines in VRAM-bound but bandwidth-tolerant inference. Power efficiency favors RTX 5880 Ada at 285W, reducing cooling needs versus A100's 400W draw.
Interconnects further differentiate: A100's NVLink, PCIe 4.0, and InfiniBand enable multi-GPU scaling, absent on RTX 5880 Ada, impacting distributed training throughput.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | 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 | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | 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×) |
When to Choose the A100 PCIe 40GB
Select the A100 PCIe 40GB for large-scale AI training and HPC: its 312 TFLOPS FP16 and 2039 GB/s bandwidth process massive LLMs efficiently. NVLink and InfiniBand support cluster scaling unavailable on RTX 5880 Ada.
Cloud deployments favor A100, with pricing from $0.60 per hour across 11 offers, ideal for bursty workloads exceeding workstation limits.
When to Choose the RTX 5880 Ada
Opt for RTX 5880 Ada in professional workstations: 69.7 TFLOPS FP32 and 285W TDP suit balanced inference, rendering, and fine-tuning without datacenter overhead. Its 48 GB GDDR6 VRAM handles VRAM-intensive tasks like Stable Diffusion on single GPUs.
Newer Ada Lovelace architecture provides RT and tensor core advancements for graphics-hybrid workflows, where A100's older Ampere lacks parity.
Use Cases
A100's 312 TFLOPS FP16 vastly outperforms RTX 5880 Ada's 69.7 TFLOPS, speeding large model training. High 2039 GB/s bandwidth supports bigger batches.
RTX 5880 Ada's 69.7 TFLOPS FP32 exceeds A100's 19.5 TFLOPS for precision inference. Lower 285W TDP fits efficient serving.
A100's 312 TFLOPS FP16 accelerates fine-tuning iterations over 69.7 TFLOPS. 40 GB HBM2e handles adapter-heavy workloads.
RTX 5880 Ada's Ada architecture and 69.7 TFLOPS FP32 optimize diffusion rendering. 48 GB VRAM supports high-res generations.
A100's 2039 GB/s bandwidth and NVLink excel in simulations. 312 TFLOPS FP16 boosts HPC tensor operations.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX 5880 Ada provides 48 GB GDDR6, edging A100 PCIe 40GB's 40 GB HBM2e. A100's HBM2e offers superior speed despite lower capacity.
What is the FP16 performance difference?▾
A100 PCIe 40GB delivers 312 TFLOPS FP16, over four times RTX 5880 Ada's 69.7 TFLOPS. This favors A100 in training-heavy AI tasks.
How do memory bandwidths compare?▾
A100 PCIe 40GB achieves 2039 GB/s with HBM2e, more than double RTX 5880 Ada's 960 GB/s GDDR6. Bandwidth aids large-batch processing.
What are the power consumption ratings?▾
RTX 5880 Ada uses 285W TDP, lower than A100 PCIe 40GB's 400W. This makes RTX more efficient for workstations.
Is cloud pricing available for these GPUs?▾
A100 PCIe 40GB starts at $0.60 per hour, averaging $1.85 per hour across 11 offers. RTX 5880 Ada has no live cloud offers.
Which supports multi-GPU interconnects?▾
A100 PCIe 40GB includes NVLink, PCIe 4.0, and InfiniBand for scaling. RTX 5880 Ada lacks specified interconnects beyond PCIe.
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.