Specifications Compared
| Spec | RTX-3090 | RTX-A6000 |
|---|---|---|
| TDP | 350W | 300W |
| VRAM | 24 GB | 48 GB |
| CUDA Cores | 10,496 | 10,752 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 328 | 336 |
| FP16 Performance | 35.6 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 936 GB/s | 768 GB/s |
Performance Analysis
Compute throughput differences are modest: the RTX A6000's 38.7 TFLOPS in FP16 and FP32 surpasses the RTX 3090's 35.6 TFLOPS by about 9 percent, translating to slightly faster matrix multiplications in training and inference pipelines. For deep learning models, this delta accelerates convergence in FP16 training runs or boosts inference throughput for batch processing.
Memory bandwidth plays a pivotal role in real-world bottlenecks. The RTX 3090's 936 GB/s outpaces the A6000's 768 GB/s, enabling larger batch sizes in bandwidth-limited scenarios like high-resolution image generation or simulations without stalling data transfers. Conversely, the A6000's 48 GB VRAM capacity supports models exceeding 24 GB, such as large language models during training, preventing out-of-memory errors that plague the RTX 3090.
Power efficiency tilts toward the A6000 with its 300W TDP versus 350W on the RTX 3090, potentially reducing cooling demands in dense cloud deployments. These specs collectively dictate suitability: higher bandwidth aids memory-bound inference on the 3090, while superior VRAM excels in VRAM-constrained training on the A6000.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 153GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | 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 3090
Opt for the RTX 3090 in cost-sensitive cloud environments where rentals begin at $0.08 per hour, averaging $0.41 per hour across 52 offers. Its superior 936 GB/s memory bandwidth excels in tasks like Stable Diffusion generation or inference workloads that prioritize data throughput over raw capacity.
The 24 GB GDDR6X VRAM suffices for most fine-tuning jobs under 20 GB model sizes, and the 35.6 TFLOPS compute matches closely with professional needs at a fraction of the A6000's $1.07 per hour average cost.
When to Choose the RTX A6000
Select the RTX A6000 for workloads demanding over 24 GB VRAM, such as training large language models where its 48 GB GDDR6 prevents swapping and enables bigger batches. The 38.7 TFLOPS FP16/FP32 performance provides a 9 percent edge in compute-heavy phases.
Professional certifications and lower 300W TDP make it ideal for sustained enterprise simulations or multi-GPU clusters via NVLink, justifying the $0.25 per hour starting price across 57 offers.
Use Cases
The A6000's 48 GB VRAM accommodates larger LLMs and batch sizes compared to the 3090's 24 GB limit. This reduces training interruptions from memory constraints.
The 3090's 936 GB/s bandwidth supports higher throughput for inference batches, paired with cheaper $0.08 per hour pricing. Compute at 35.6 TFLOPS closely matches the A6000.
48 GB VRAM on the A6000 handles parameter-efficient fine-tuning of models over 24 GB. Its 38.7 TFLOPS aids faster iterations.
Higher 936 GB/s bandwidth accelerates high-resolution image synthesis on the 3090. Lower average $0.41 per hour cost suits iterative creative workflows.
Both offer 35.6 to 38.7 TFLOPS FP32 and NVLink for scaling. Choose 3090 for bandwidth-intensive sims or A6000 for VRAM-heavy datasets.
Frequently Asked Questions
Which GPU has more VRAM, RTX 3090 or RTX A6000?▾
The RTX A6000 provides 48 GB GDDR6 VRAM, doubling the RTX 3090's 24 GB GDDR6X. This benefits large model training. Bandwidth remains higher on the 3090 at 936 GB/s.
Which is faster for AI compute, RTX 3090 or A6000?▾
The A6000 leads with 38.7 TFLOPS in FP16 and FP32 versus 35.6 TFLOPS on the 3090, a 9 percent gain. Real-world speed depends on VRAM and bandwidth needs.
What are the cloud rental prices for these GPUs?▾
RTX 3090 starts at $0.08 per hour, averaging $0.41 per hour across 52 offers. RTX A6000 begins at $0.25 per hour, averaging $1.07 per hour across 57 offers.
How do TDPs compare between RTX 3090 and A6000?▾
The A6000 consumes 300W TDP, lower than the 3090's 350W. This improves efficiency in power-limited cloud instances. Both use PCIe and NVLink.
Is RTX 3090 good for machine learning training?▾
Yes, with 24 GB VRAM and 35.6 TFLOPS FP16, it handles mid-sized models effectively at low $0.08 per hour cost. Larger models favor A6000's 48 GB.
Can these GPUs be used in multi-GPU setups?▾
Both support NVLink interconnects for scaling performance. RTX 3090 at 936 GB/s bandwidth aids data-heavy clusters, while A6000's VRAM suits memory pooling.
Which is cheaper to rent, the RTX 3090 or the RTX A6000?▾
Cloud rental prices for both the RTX 3090 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 3090 have compared to the RTX A6000?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find RTX 3090 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 3090 and the RTX A6000?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 1.1x the FP16 throughput and 1.2x the memory bandwidth of the RTX 3090.