Specifications Compared
| Spec | A10 | RTX-6000-ADA |
|---|---|---|
| TDP | 150W | 300W |
| VRAM | 24 GB | 48 GB |
| CUDA Cores | 9,216 | 18,176 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 568 |
| FP16 Performance | 31.2 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 91.1 TFLOPS |
| INT8 Performance | 250 TOPS | 1,457 TOPS |
| Memory Bandwidth | 600 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada significantly outpaces the A10 in raw compute: 91.1 TFLOPS versus 31.2 TFLOPS in both FP16 and FP32. This nearly threefold increase accelerates deep learning training, where FP16 precision dominates, reducing epoch times proportionally for models like transformers. Inference benefits similarly, enabling higher throughput for real-time applications.
Memory bandwidth doubles from 600 GB/s to 960 GB/s on the RTX 6000 Ada, supporting larger batch sizes without bottlenecks; for instance, training with 48 GB VRAM handles datasets twice the A10's 24 GB capacity. The A10's lower 150W TDP suits power-limited environments, but the RTX 6000 Ada's 300W draw correlates with its NVLink interconnect for multi-GPU scaling in distributed training.
In practice, these specs translate to the RTX 6000 Ada completing FP32 matrix multiplications 2.9 times faster, ideal for scientific simulations, while the A10 suffices for inference at modest scales.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A10
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 10×NVIDIA A10 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.60/GPU/hr $6.00/hr total (10×) | Available | ||
 Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 5672GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 769GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | 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 A10
The A10 excels in cost-sensitive, low-power deployments. With a 150W TDP versus 300W, it fits environments with strict power budgets, such as edge cloud instances. Pricing from $0.60 per hour and an average of $1.06 across three offers makes it economical for small-scale inference or prototyping where 24 GB VRAM and 31.2 TFLOPS suffice.
When to Choose the RTX 6000 Ada
Opt for the RTX 6000 Ada in memory-heavy workloads requiring 48 GB VRAM and 960 GB/s bandwidth. Its 91.1 TFLOPS performance triples the A10's, speeding up training and large-model inference. NVLink support enhances multi-GPU setups, and abundant offers from $0.20 per hour averaging $1.19 provide flexibility.
Use Cases
The RTX 6000 Ada's 91.1 TFLOPS and 48 GB VRAM handle large language models far better than the A10's 31.2 TFLOPS and 24 GB. Higher bandwidth of 960 GB/s supports bigger batches during training.
RTX 6000 Ada's doubled VRAM to 48 GB accommodates larger models for inference without swapping. Its 91.1 TFLOPS delivers 2.9 times the throughput of A10's 31.2 TFLOPS.
Fine-tuning benefits from RTX 6000 Ada's 91.1 TFLOPS FP16 performance and NVLink for scaling. The A10's 24 GB VRAM limits parameter-efficient tuning on bigger models.
Stable Diffusion runs adequately on A10's 24 GB VRAM for standard resolutions. RTX 6000 Ada's 48 GB enables higher-res generations and batch sizes with 960 GB/s bandwidth.
RTX 6000 Ada's 91.1 TFLOPS FP32 and NVLink outperform A10 for simulations. 48 GB VRAM processes larger datasets than A10's 24 GB.
Frequently Asked Questions
Which has more VRAM: A10 or RTX 6000 Ada?▾
The RTX 6000 Ada provides 48 GB GDDR6 VRAM, double the A10's 24 GB. This allows handling larger models in AI tasks. Bandwidth also doubles to 960 GB/s from 600 GB/s.
Is RTX 6000 Ada faster than A10?▾
RTX 6000 Ada achieves 91.1 TFLOPS in FP16 and FP32, nearly three times the A10's 31.2 TFLOPS. This speeds up training and inference significantly. Ada Lovelace architecture from 2022 contributes to the edge over Ampere.
What is the power consumption of these GPUs?▾
A10 has a 150W TDP, lower than RTX 6000 Ada's 300W. Lower TDP suits power-constrained clouds. RTX 6000 Ada supports NVLink for multi-GPU use.
RTX 6000 Ada vs A10 cloud pricing?▾
RTX 6000 Ada starts at $0.20 per hour, averaging $1.19 across 51 offers. A10 begins at $0.60 per hour, averaging $1.06 across three offers. Availability favors RTX 6000 Ada.
Does A10 support NVLink?▾
A10 lacks NVLink, using only PCIe interconnect. RTX 6000 Ada includes NVLink for faster multi-GPU communication. This matters for distributed training.
Best for LLM inference: A10 or RTX 6000 Ada?▾
RTX 6000 Ada excels with 48 GB VRAM and 91.1 TFLOPS for larger batches. A10's 24 GB works for smaller models at 31.2 TFLOPS. Choose based on model size.
Which is cheaper to rent, the A10 or the RTX 6000 Ada?▾
Cloud rental prices for both the A10 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 A10 have compared to the RTX 6000 Ada?▾
The A10 has 24 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find A10 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 A10 and the RTX 6000 Ada?▾
The A10 uses the Ampere architecture (2021) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 2.9x the FP16 throughput and 1.6x the memory bandwidth of the A10.