Specifications Compared
| Spec | RTX-5090 | RTX-A6000 |
|---|---|---|
| TDP | 575W | 300W |
| VRAM | 32 GB | 48 GB |
| CUDA Cores | 21,760 | 10,752 |
| Memory Type | GDDR7 | GDDR6 |
| Architecture | Blackwell | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | NVLink |
| Tensor Cores | 680 | 336 |
| FP8 Performance | 838 TFLOPS | |
| FP16 Performance | 419 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 105 TFLOPS | 38.7 TFLOPS |
| FP64 Performance | 1.6 TFLOPS | 0.6 TFLOPS |
| INT8 Performance | 838 TOPS | |
| Memory Bandwidth | 1,792 GB/s | 768 GB/s |
Performance Analysis
Compute capabilities define workload suitability: the RTX 5090's 419 TFLOPS FP16 vastly exceeds the RTX A6000's 38.7 TFLOPS, accelerating deep learning training where half-precision dominates. Its 105 TFLOPS FP32 outperforms the A6000's 38.7 TFLOPS, benefiting single-precision scientific simulations and graphics rendering. FP8 performance at 838 TFLOPS on the RTX 5090 enables ultra-efficient large language model inference, unavailable on the older architecture.
Memory bandwidth impacts data throughput: 1792 GB/s on the RTX 5090 supports larger batch sizes in training compared to 768 GB/s on the RTX A6000, reducing bottlenecks in memory-bound tasks like transformer models. However, the A6000's 48 GB VRAM exceeds the RTX 5090's 32 GB, accommodating larger models without splitting across GPUs.
Power efficiency varies: the RTX 5090's 575 W TDP demands robust cooling, while the A6000's 300 W suits denser deployments. Interconnects differ with PCIe 5.0 on the RTX 5090 versus NVLink on the A6000, influencing multi-GPU scaling for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.83/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 619GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 395GB Storage | South Korea | $0.87/GPU/hr | Available |
RTX A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the RTX 5090
The RTX 5090 excels in performance-critical scenarios requiring raw compute speed. Its 419 TFLOPS FP16 and 1792 GB/s bandwidth make it ideal for accelerating LLM training and inference, where tasks complete faster than on the RTX A6000's 38.7 TFLOPS and 768 GB/s. Lower cloud pricing from $0.13 per hour suits high-volume, time-sensitive workloads like generative AI prototyping.
Users prioritizing Blackwell architecture benefits, such as FP8 at 838 TFLOPS, select the RTX 5090 for cutting-edge inference deployments.
When to Choose the RTX A6000
The RTX A6000 suits memory-intensive applications leveraging its 48 GB GDDR6 VRAM, surpassing the RTX 5090's 32 GB for loading massive datasets or models without quantization. NVLink interconnect enables efficient multi-GPU configurations for distributed scientific computing or visualization pipelines.
Lower 300 W TDP appeals to power-constrained environments, and availability across 59 cloud offers provides reliability despite higher average pricing of $1.06 per hour.
Use Cases
RTX 5090's 419 TFLOPS FP16 and 105 TFLOPS FP32 enable faster training cycles than RTX A6000's 38.7 TFLOPS in both metrics.
RTX 5090 leverages 838 TFLOPS FP8 for efficient inference, far beyond RTX A6000 capabilities, with 1792 GB/s bandwidth supporting high throughput.
Higher compute at 419 TFLOPS FP16 on RTX 5090 speeds fine-tuning iterations compared to RTX A6000's 38.7 TFLOPS.
RTX 5090's superior FP16 performance and bandwidth accelerate image generation workloads over RTX A6000.
RTX A6000's 48 GB VRAM handles large datasets better than RTX 5090's 32 GB, with NVLink aiding multi-GPU setups.
Frequently Asked Questions
Which GPU has more VRAM, RTX 5090 or RTX A6000?▾
The RTX A6000 has more VRAM at 48 GB GDDR6 compared to the RTX 5090's 32 GB GDDR7. This advantage suits memory-heavy tasks, though RTX 5090 compensates with 1792 GB/s bandwidth versus 768 GB/s.
Is RTX 5090 faster than RTX A6000 for AI training?▾
Yes, RTX 5090 delivers 419 TFLOPS FP16 and 105 TFLOPS FP32, outperforming RTX A6000's 38.7 TFLOPS in both. This results in significantly faster training times for deep learning models.
What is the power consumption difference?▾
RTX 5090 has a 575 W TDP, higher than RTX A6000's 300 W. Lower TDP on A6000 benefits power-limited deployments.
Which is cheaper in the cloud?▾
RTX 5090 offers lower pricing from $0.13 per hour average $0.68 per hour across 20 offers, versus RTX A6000 from $0.25 per hour average $1.06 per hour over 59 offers.
Does RTX 5090 support FP8 compute?▾
RTX 5090 provides 838 TFLOPS FP8, ideal for inference, while RTX A6000 lacks specified FP8 performance. This Blackwell feature enhances quantized model efficiency.
What interconnects do they use?▾
RTX 5090 uses PCIe 5.0, and RTX A6000 employs NVLink. NVLink offers better multi-GPU bandwidth for the A6000 in clustered setups.
Which is cheaper to rent, the RTX 5090 or the RTX A6000?▾
Cloud rental prices for both the RTX 5090 and RTX A6000 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 5090 have compared to the RTX A6000?▾
The RTX 5090 has 32 GB of GDDR7 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find RTX 5090 and RTX A6000 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 5090 and the RTX A6000?▾
The RTX 5090 uses the Blackwell architecture (2025) while the RTX A6000 uses Ampere (2020). The RTX 5090 delivers 10.8x the FP16 throughput and 2.3x the memory bandwidth of the RTX A6000.