Specifications Compared
| Spec | A30 | RTX-4000-ADA |
|---|---|---|
| TDP | 165W | 130W |
| VRAM | 24 GB | 20 GB |
| CUDA Cores | 3,584 | 6,144 |
| Memory Type | HBM2 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 224 | 192 |
| FP16 Performance | 10.3 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 10.3 TFLOPS | 26.7 TFLOPS |
| FP64 Performance | 5.2 TFLOPS | |
| INT8 Performance | 165 TOPS | 427 TOPS |
| Memory Bandwidth | 933 GB/s | 360 GB/s |
Performance Analysis
The RTX 4000 Ada's FP16 and FP32 performance of 26.7 TFLOPS exceeds the A30's 10.3 TFLOPS by over 159 percent, accelerating deep learning training cycles and inference throughput. In training scenarios, this delta shortens epochs for models like transformers, enabling quicker iterations.
Memory characteristics diverge sharply: the A30's 933 GB/s bandwidth and 24 GB HBM2 support larger batch sizes in memory-constrained workloads, minimizing data transfer bottlenecks during large-scale inference. The RTX 4000 Ada's 360 GB/s GDDR6 limits batch scaling compared to the A30.
Power draw reveals efficiency gains for the RTX 4000 Ada at 130W TDP versus the A30's 165W, reducing cloud costs by approximately 21 percent per GPU. These specs influence choices in sustained workloads balancing speed, scale, and energy.
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 A30
Opt for the A30 in memory-intensive applications such as large-scale scientific simulations or training with massive datasets. Its 24 GB HBM2 VRAM and 933 GB/s bandwidth accommodate bigger models without out-of-memory errors, outperforming the RTX 4000 Ada's 20 GB GDDR6 at 360 GB/s.
NVLink interconnect enables efficient multi-GPU scaling for distributed training, ideal where high-speed inter-GPU communication is essential.
When to Choose the RTX 4000 Ada
Select the RTX 4000 Ada for compute-dominant tasks like model fine-tuning or generative AI inference. Its 26.7 TFLOPS FP16 and FP32 rates deliver up to 2.6 times the throughput of the A30's 10.3 TFLOPS, speeding up iterations.
At 130W TDP and cloud pricing from $0.09 per hour, it offers superior efficiency and availability over the A30, which lacks current live offers.
Use Cases
The RTX 4000 Ada's 26.7 TFLOPS FP16 performance accelerates training epochs compared to the A30's 10.3 TFLOPS. Lower 130W TDP supports cost-effective scaling.
A30's 24 GB HBM2 VRAM and 933 GB/s bandwidth handle larger models and batch sizes without issues. RTX 4000 Ada's 20 GB limits scale in high-concurrency setups.
RTX 4000 Ada's superior 26.7 TFLOPS speeds up fine-tuning loops over A30's 10.3 TFLOPS. Affordable $0.09/hr pricing aids experimentation.
Ada Lovelace architecture with 26.7 TFLOPS optimizes generative tasks like Stable Diffusion. Newer design outperforms Ampere in diffusion model generation.
A30's 933 GB/s HBM2 bandwidth excels in data-heavy simulations. NVLink supports multi-GPU HPC clusters effectively.
Frequently Asked Questions
Which GPU has more VRAM, A30 or RTX 4000 Ada?▾
The A30 provides 24 GB HBM2 VRAM, exceeding the RTX 4000 Ada's 20 GB GDDR6. This makes the A30 better for memory-bound workloads. Bandwidth also favors A30 at 933 GB/s over 360 GB/s.
What is the FP32 performance difference between A30 and RTX 4000 Ada?▾
RTX 4000 Ada delivers 26.7 TFLOPS FP32, more than double the A30's 10.3 TFLOPS. This gap translates to faster compute tasks. Both share equal FP16 and FP32 rates internally.
Which GPU is more power efficient?▾
RTX 4000 Ada consumes 130W TDP, lower than A30's 165W. This yields about 21 percent better efficiency. Cloud costs benefit from lower power draw.
Does the A30 support NVLink?▾
Yes, A30 includes NVLink interconnect for multi-GPU communication. RTX 4000 Ada lacks a specified interconnect. This aids A30 in distributed training.
What are the cloud prices for RTX 4000 Ada?▾
RTX 4000 Ada starts at $0.09 per hour, averaging $0.22 per hour across 9 offers. A30 has no live offers currently. Pricing favors RTX 4000 Ada for rentals.
Which architecture is newer?▾
RTX 4000 Ada uses Ada Lovelace from 2023, postdating A30's Ampere from 2021. Newer architecture brings optimizations. Performance reflects this at 26.7 TFLOPS versus 10.3 TFLOPS.
Which is cheaper to rent, the A30 or the RTX 4000 Ada?▾
Cloud rental prices for both the A30 and RTX 4000 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 A30 have compared to the RTX 4000 Ada?▾
The A30 has 24 GB of HBM2 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find A30 and RTX 4000 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 A30 and the RTX 4000 Ada?▾
The A30 uses the Ampere architecture (2021) while the RTX 4000 Ada uses Ada Lovelace (2023). The RTX 4000 Ada delivers 2.6x the FP16 throughput and 2.6x the memory bandwidth of the A30.