Specifications Compared
| Spec | RTX-3090 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 350W | 400W |
| VRAM | 24 GB | 96 GB |
| CUDA Cores | 10,496 | 21,760 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 328 | 680 |
| FP16 Performance | 35.6 TFLOPS | 125 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 125 TFLOPS |
| Memory Bandwidth | 936 GB/s | 1,792 GB/s |
Performance Analysis
Compute performance shows a clear advantage for the RTX PRO 6000: its 125 TFLOPS in FP16 and FP32 exceeds the RTX 3090's 35.6 TFLOPS by 3.5 times. This delta accelerates deep learning training, where FP16 reduces precision without major accuracy loss, and FP32 supports general computations. Inference benefits similarly from higher throughput.
Memory specifications further the gap: 96 GB VRAM on the RTX PRO 6000 handles models too large for the RTX 3090's 24 GB, avoiding multi-GPU complexity. Bandwidth at 1792 GB/s versus 936 GB/s enables larger batch sizes, minimizing data transfer bottlenecks during training.
The RTX PRO 6000's 2000 TFLOPS FP8 capability optimizes quantized inference, delivering massive speedups for deployment scenarios compared to the RTX 3090's lack of such support.
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 PRO 6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | 2×NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 60 vCPU 180GB RAM | Helsinki | $1.89/GPU/hr $3.78/hr total (2×) | Available | ||
VERDA | NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 30 vCPU 90GB RAM | Helsinki | $1.89/GPU/hr | Available |
When to Choose the RTX 3090
The RTX 3090 fits cost-sensitive projects with moderate demands. Its 24 GB VRAM suffices for models under that limit, and 35.6 TFLOPS FP16/FP32 handles training or inference efficiently at 350W TDP. Pricing from $0.08 per hour across 51 offers ensures wide availability and low overhead.
Legacy workflows or prototyping benefit from its maturity since 2020.
When to Choose the RTX PRO 6000
The RTX PRO 6000 excels in high-end AI pipelines needing 96 GB VRAM for massive models. Its 125 TFLOPS FP16/FP32 speeds training cycles, while 2000 TFLOPS FP8 boosts inference throughput. Bandwidth of 1792 GB/s supports large batches critical for production scale.
Users prioritizing raw power over initial cost select it despite $0.59 per hour starting rates.
Use Cases
RTX PRO 6000's 96 GB VRAM and 125 TFLOPS FP16 accommodate large LLMs without splitting, unlike RTX 3090's 24 GB and 35.6 TFLOPS.
2000 TFLOPS FP8 on RTX PRO 6000 enables high-throughput quantized serving; RTX 3090 lacks this and limits scale with 24 GB VRAM.
RTX 3090 handles smaller models within 24 GB at $0.08 per hour; RTX PRO 6000 suits larger ones with 96 GB.
RTX 3090's 24 GB VRAM and 35.6 TFLOPS suffice for image generation at lower $0.41 average hourly cost.
RTX PRO 6000's 125 TFLOPS FP32 and 1792 GB/s bandwidth accelerate simulations beyond RTX 3090's 35.6 TFLOPS and 936 GB/s.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX PRO 6000 provides 96 GB GDDR7 VRAM. RTX 3090 offers 24 GB GDDR6X. The larger capacity supports bigger models without multi-GPU setups.
How do rental prices compare?▾
RTX 3090 starts at $0.08 per hour, averaging $0.41 across 51 offers. RTX PRO 6000 begins at $0.59 per hour, averaging $1.25 across 5 offers. RTX 3090 is more affordable.
Which performs better in FP16 for training?▾
RTX PRO 6000 delivers 125 TFLOPS FP16. RTX 3090 provides 35.6 TFLOPS. This yields 3.5 times faster training on the PRO 6000.
What are the TDP values?▾
RTX 3090 consumes 350W TDP. RTX PRO 6000 uses 400W TDP. The modest increase accompanies substantial performance gains.
What architectures do they use?▾
RTX 3090 employs Ampere from 2020. RTX PRO 6000 uses Blackwell from 2025. Newer architecture drives higher specs.
Which is best for inference?▾
RTX PRO 6000 excels with 2000 TFLOPS FP8 and 96 GB VRAM. RTX 3090's 35.6 TFLOPS limits high-volume serving.
Which is cheaper to rent, the RTX 3090 or the RTX PRO 6000?▾
Cloud rental prices for both the RTX 3090 and RTX PRO 6000 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 PRO 6000?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find RTX 3090 and RTX PRO 6000 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 PRO 6000?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 3.5x the FP16 throughput and 1.9x the memory bandwidth of the RTX 3090.