Specifications Compared
| Spec | RTX-5000-ADA | RTX-A4000 |
|---|---|---|
| TDP | 250W | 140W |
| VRAM | 32 GB | 16 GB |
| CUDA Cores | 12,800 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ada Lovelace | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 400 | 192 |
| FP16 Performance | 65.3 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 65.3 TFLOPS | 19.2 TFLOPS |
| INT8 Performance | 1,044 TOPS | |
| Memory Bandwidth | 576 GB/s | 448 GB/s |
Performance Analysis
Compute performance defines the core gap between these GPUs: the RTX 5000 Ada's 65.3 TFLOPS in FP16 and FP32 enables approximately 3.4 times faster processing than the A4000's 19.2 TFLOPS for machine learning training and inference tasks. FP16 performance directly accelerates neural network training where half-precision computations dominate, reducing time for gradient updates on large datasets. Similarly, FP32 throughput benefits scientific simulations requiring single-precision accuracy.
Memory capabilities further amplify real-world advantages. The RTX 5000 Ada's 32 GB VRAM supports larger models without swapping, unlike the A4000's 16 GB limit which constrains batch sizes in memory-intensive inference. Its 576 GB/s bandwidth, versus 448 GB/s, minimizes data transfer bottlenecks, allowing bigger batches in training loops and faster token generation in inference.
Power efficiency varies with workload scale. The A4000's 140W TDP yields lower absolute performance but better watts-per-TFLOP at 0.14W per TFLOP FP16, compared to the RTX 5000 Ada's 0.004W per TFLOP. Intensive tasks favor the RTX 5000 Ada's raw speed despite its 250W draw.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
![]() RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
RTX A4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
![]() Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
![]() Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
![]() Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
![]() Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the RTX 5000 Ada
The RTX 5000 Ada excels in scenarios demanding high memory and compute capacity. For training large language models exceeding 16 GB or inference on models like Llama 70B, its 32 GB VRAM and 65.3 TFLOPS FP16 prevent out-of-memory errors and deliver 3.4 times the speed of the A4000. Users prioritizing throughput over cost select it when deadlines tighten.
Cloud deployments with ample budget benefit from its 576 GB/s bandwidth for stable large-batch training, available from $0.25 per hour.
When to Choose the RTX A4000
The RTX A4000 suits cost-sensitive or lighter workloads where 16 GB VRAM suffices. Prototyping fine-tuning on models under 10B parameters or Stable Diffusion generation leverages its 19.2 TFLOPS FP16 at a low $0.08 per hour starting price across 28 offers.
Lower 140W TDP appeals to power-constrained environments, offering solid performance for scientific computing or inference on smaller models without the RTX 5000 Ada's premium.
Use Cases
RTX 5000 Ada's 32 GB VRAM and 65.3 TFLOPS FP16 handle large models and batches infeasible on A4000's 16 GB and 19.2 TFLOPS.
Higher 576 GB/s bandwidth and 32 GB VRAM enable faster token throughput for large models compared to A4000's 448 GB/s and 16 GB.
A4000's 16 GB suffices for models under 10B parameters at lower $0.08/hr cost; RTX 5000 Ada accelerates larger ones with 65.3 TFLOPS.
A4000's 19.2 TFLOPS and 16 GB VRAM meet image generation needs efficiently at $0.31 avg/hr, without RTX 5000 Ada's overhead.
Lower 140W TDP and $0.08/hr pricing fit simulations within 16 GB VRAM; ample 28 offers ensure availability.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 5000 Ada provides 32 GB GDDR6 VRAM. The RTX A4000 offers 16 GB GDDR6 VRAM. This enables the RTX 5000 Ada to load larger AI models without issues.
What is the FP32 performance difference?▾
RTX 5000 Ada delivers 65.3 TFLOPS FP32. RTX A4000 achieves 19.2 TFLOPS FP32. The RTX 5000 Ada processes single-precision tasks over three times faster.
How do prices compare in the cloud?▾
RTX 5000 Ada starts at $0.25/hr averaging $0.51 across 5 offers. RTX A4000 starts at $0.08/hr averaging $0.31 across 28 offers. A4000 provides more budget options.
Which has higher memory bandwidth?▾
RTX 5000 Ada reaches 576 GB/s bandwidth. RTX A4000 provides 448 GB/s. Higher bandwidth on RTX 5000 Ada supports larger training batches.
What are the TDP ratings?▾
RTX 5000 Ada has a 250W TDP. RTX A4000 uses 140W TDP. Lower TDP on A4000 suits power-limited setups.
Which is newer?▾
RTX 5000 Ada uses 2023 Ada Lovelace architecture. RTX A4000 employs 2021 Ampere architecture. Newer design yields RTX 5000 Ada's superior specs.
Which is cheaper to rent, the RTX 5000 Ada or the RTX A4000?▾
Cloud rental prices for both the RTX 5000 Ada and RTX A4000 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 5000 Ada have compared to the RTX A4000?▾
The RTX 5000 Ada has 32 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 5000 Ada and RTX A4000 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 5000 Ada and the RTX A4000?▾
The RTX 5000 Ada uses the Ada Lovelace architecture (2023) while the RTX A4000 uses Ampere (2021). The RTX 5000 Ada delivers 3.4x the FP16 throughput and 1.3x the memory bandwidth of the RTX A4000.



