Specifications Compared
| Spec | RTX-4090 | RTX-6000-ADA |
|---|---|---|
| TDP | 450W | 300W |
| VRAM | 24 GB | 48 GB |
| CUDA Cores | 16,384 | 18,176 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | NVLink |
| Tensor Cores | 512 | 568 |
| FP8 Performance | 660 TFLOPS | |
| FP16 Performance | 165 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 82.6 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 1.3 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 660 TOPS | 1,457 TOPS |
| Memory Bandwidth | 1,008 GB/s | 960 GB/s |
Performance Analysis
FP16 performance defines a key disparity: RTX 4090 achieves 165 TFLOPS, nearly double RTX 6000 Ada's 91.1 TFLOPS, accelerating inference and mixed-precision training where half-precision dominates. Conversely, FP32 rates show RTX 6000 Ada at 91.1 TFLOPS edging RTX 4090's 82.6 TFLOPS, suiting scientific simulations reliant on single-precision accuracy. RTX 4090's FP8 capability at 660 TFLOPS further boosts quantized inference efficiency.
Memory specs impact workload scalability. RTX 6000 Ada's 48 GB VRAM doubles RTX 4090's 24 GB, enabling larger models or batch sizes without offloading, critical for training massive LLMs. Bandwidth remains close with RTX 4090 at 1008 GB/s versus 960 GB/s, but higher capacity on RTX 6000 Ada mitigates bottlenecks in memory-intensive phases. Lower 300W TDP on RTX 6000 Ada yields better efficiency at 0.30 TFLOPS/W FP16, compared to RTX 4090's 0.37 TFLOPS/W.
Interconnect choices affect scaling: NVLink on RTX 6000 Ada offers higher bandwidth for multi-GPU training versus PCIe 4.0 on RTX 4090, reducing communication overhead in distributed setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
RTX 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 2×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 26 vCPU 144GB RAM 700GB Storage | Iowa | $0.79/GPU/hr $1.58/hr total (2×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the RTX 4090
The RTX 4090 excels in high-throughput, cost-sensitive scenarios like batch inference or generative AI. Its 165 TFLOPS FP16 and 660 TFLOPS FP8 outperform RTX 6000 Ada, paired with lower pricing from $0.16/hr average $0.47/hr across 101 offers. Abundant availability suits rapid prototyping where 24 GB VRAM suffices and power budgets tolerate 450W TDP.
When to Choose the RTX 6000 Ada
RTX 6000 Ada fits memory-bound tasks such as training large LLMs requiring 48 GB VRAM. NVLink interconnect enables efficient multi-GPU scaling, unlike PCIe 4.0 on RTX 4090. Despite higher average $1.28/hr pricing, 300W TDP and balanced 91.1 TFLOPS FP16/FP32 justify selection for professional workflows prioritizing capacity over peak speed.
Use Cases
RTX 6000 Ada's 48 GB VRAM handles larger models without splitting batches, unlike RTX 4090's 24 GB. NVLink supports efficient multi-GPU scaling for distributed training.
RTX 4090's 165 TFLOPS FP16 and 660 TFLOPS FP8 provide higher throughput for serving requests. Lower pricing at average $0.47/hr maximizes requests per dollar.
RTX 4090 offers speed with 165 TFLOPS FP16 for quicker iterations; RTX 6000 Ada's 48 GB VRAM accommodates bigger datasets. Choice depends on model size versus budget.
RTX 4090's 1008 GB/s bandwidth and 165 TFLOPS FP16 accelerate image generation pipelines. Cost from $0.16/hr fits high-volume creative workflows.
RTX 6000 Ada's 91.1 TFLOPS FP32 matches its FP16 for precision-heavy simulations. 300W TDP ensures efficiency in sustained HPC runs.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX 6000 Ada provides 48 GB GDDR6 VRAM, double the RTX 4090's 24 GB GDDR6X. This enables handling larger models in training. RTX 4090 suffices for most inference with its capacity.
How do FP16 performances compare?▾
RTX 4090 delivers 165 TFLOPS FP16, outperforming RTX 6000 Ada's 91.1 TFLOPS. This benefits inference tasks heavily using half-precision. RTX 6000 Ada balances with equal FP32 at 91.1 TFLOPS.
What are the current cloud prices?▾
RTX 4090 starts at $0.16/hr average $0.47/hr across 101 offers; RTX 6000 Ada at $0.20/hr average $1.28/hr across 35 offers. RTX 4090 offers better value for high availability. Prices fluctuate with demand.
Which has higher power consumption?▾
RTX 4090 requires 450W TDP, higher than RTX 6000 Ada's 300W. This impacts cooling and instance costs in clouds. RTX 6000 Ada suits power-constrained environments.
What interconnects do they use?▾
RTX 6000 Ada features NVLink for high-bandwidth multi-GPU links; RTX 4090 uses PCIe 4.0. NVLink reduces latency in training clusters. PCIe 4.0 works for single-GPU or basic scaling.
Are they the same architecture?▾
Both use Ada Lovelace from 2022, sharing core tensor cores. Differences arise in VRAM and tuning: RTX 4090 optimizes consumer throughput, RTX 6000 Ada professional capacity. Compatibility extends to CUDA workloads.
Which is cheaper to rent, the RTX 4090 or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 4090 and RTX 6000 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 RTX 4090 have compared to the RTX 6000 Ada?▾
The RTX 4090 has 24 GB of GDDR6X memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 4090 and RTX 6000 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 RTX 4090 and the RTX 6000 Ada?▾
The RTX 4090 uses the Ada Lovelace architecture (2022) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 4090 delivers 1.8x the FP16 throughput and 1.1x the memory bandwidth of the RTX 6000 Ada.