Specifications Compared
| Spec | RTX-4000-ADA | RTX-6000-ADA |
|---|---|---|
| TDP | 130W | 300W |
| VRAM | 20 GB | 48 GB |
| CUDA Cores | 6,144 | 18,176 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 192 | 568 |
| FP16 Performance | 26.7 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 26.7 TFLOPS | 91.1 TFLOPS |
| INT8 Performance | 427 TOPS | 1,457 TOPS |
| Memory Bandwidth | 360 GB/s | 960 GB/s |
Performance Analysis
Compute performance defines the core difference: RTX 6000 Ada delivers 91.1 TFLOPS FP16 and FP32, over three times the 26.7 TFLOPS of RTX 4000 Ada. This gap accelerates AI training and inference, where FP16 handles mixed-precision training efficiently and FP32 supports precise scientific computations, enabling RTX 6000 Ada to process models roughly 3.4 times faster on compute-limited workloads.
Memory specifications further favor RTX 6000 Ada: its 48 GB GDDR6 VRAM and 960 GB/s bandwidth dwarf the 20 GB and 360 GB/s of RTX 4000 Ada. Higher bandwidth supports larger batch sizes in training, reducing iterations and time for deep learning; 48 GB VRAM accommodates massive models like large language models without offloading, while 20 GB limits scale on RTX 4000 Ada.
Power draw reflects capability: RTX 6000 Ada's 300W TDP sustains peak performance versus 130W on RTX 4000 Ada, though NVLink on RTX 6000 Ada enables efficient multi-GPU configurations absent on the lower model.
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 |
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 4000 Ada
RTX 4000 Ada suits budget-conscious deployments with moderate demands. Its starting price of $0.09/hr and average $0.22/hr make it ideal for prototyping, small-scale inference, or visualization where 20 GB VRAM and 26.7 TFLOPS suffice. The 130W TDP also fits power-limited environments like edge computing or single-user workstations.
When to Choose the RTX 6000 Ada
RTX 6000 Ada excels in demanding production workloads. With 48 GB VRAM, 91.1 TFLOPS FP16/FP32, and 960 GB/s bandwidth, it handles large model training and high-throughput inference. NVLink support and 49 cloud offers averaging $1.22/hr justify selection for scalable AI pipelines despite higher power at 300W.
Use Cases
RTX 6000 Ada's 48 GB VRAM and 91.1 TFLOPS FP16 handle large language models without splitting batches. The 960 GB/s bandwidth supports high-throughput training unattainable on RTX 4000 Ada's 20 GB limit.
91.1 TFLOPS FP16 on RTX 6000 Ada enables faster token generation for production inference. 48 GB VRAM fits full models, reducing latency compared to 26.7 TFLOPS and 20 GB on RTX 4000 Ada.
RTX 4000 Ada's 20 GB VRAM and $0.09/hr pricing work for small dataset fine-tuning. RTX 6000 Ada's 48 GB scales to larger adapters with 91.1 TFLOPS speed.
RTX 4000 Ada's 26.7 TFLOPS FP32 and 20 GB VRAM generate images efficiently at low cost of $0.22/hr average. Higher-end needs exceed its bandwidth but not typical diffusion tasks.
RTX 6000 Ada's 91.1 TFLOPS FP32 and NVLink accelerate simulations across multi-GPU setups. 300W TDP sustains complex workloads beyond RTX 4000 Ada's 130W.
Frequently Asked Questions
What is the VRAM difference between RTX 4000 Ada and RTX 6000 Ada?▾
RTX 4000 Ada has 20 GB GDDR6 VRAM, while RTX 6000 Ada provides 48 GB GDDR6. This allows RTX 6000 Ada to load larger models without quantization. The extra capacity benefits memory-bound tasks like LLM training.
How do their compute performances compare?▾
RTX 4000 Ada delivers 26.7 TFLOPS in FP16 and FP32. RTX 6000 Ada achieves 91.1 TFLOPS in both, offering over 3.4 times the throughput. This impacts training speed and inference latency directly.
What are the current cloud pricing ranges?▾
RTX 4000 Ada starts from $0.09/hr with an average of $0.22/hr across 9 offers. RTX 6000 Ada begins at $0.20/hr averaging $1.22/hr across 49 offers. Pricing reflects performance scaling.
Do they support multi-GPU interconnects?▾
RTX 4000 Ada lacks specified interconnect beyond PCIe. RTX 6000 Ada includes NVLink for high-speed GPU communication. NVLink enhances scaling in multi-GPU training setups.
What are their TDP ratings?▾
RTX 4000 Ada has a 130W TDP for efficient operation. RTX 6000 Ada requires 300W to sustain 91.1 TFLOPS peaks. Higher TDP correlates with greater sustained performance.
Are they from the same architecture?▾
Both use Ada Lovelace architecture, RTX 4000 Ada from 2023 and RTX 6000 Ada from 2022. Shared tensor cores ensure compatibility. Differences stem from core counts and memory scaling.
Which is cheaper to rent, the RTX 4000 Ada or the RTX 6000 Ada?▾
Cloud rental prices for both the RTX 4000 Ada 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 4000 Ada have compared to the RTX 6000 Ada?▾
The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find RTX 4000 Ada 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 4000 Ada and the RTX 6000 Ada?▾
The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 3.4x the FP16 throughput and 2.7x the memory bandwidth of the RTX 4000 Ada.