Specifications Compared
| Spec | RTX-2070 | RTX-A6000 |
|---|---|---|
| TDP | 175W | 300W |
| VRAM | 8 GB | 48 GB |
| CUDA Cores | 2,304 | 10,752 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 288 | 336 |
| FP16 Performance | 7.5 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 448 GB/s | 768 GB/s |
Performance Analysis
Compute performance shows a clear divide: the RTX A6000's 38.7 TFLOPS in FP16 and FP32 dwarfs the RTX 2070's 7.5 TFLOPS, enabling up to 5x faster matrix operations critical for deep learning. This delta accelerates neural network training, where FP16 tensor cores process mixed-precision computations efficiently, and FP32 ensures numerical stability in gradients. For inference, higher TFLOPS on the A6000 support more simultaneous queries or complex models without slowdowns.
Memory specs further favor the RTX A6000: 48 GB VRAM versus 8 GB allows loading massive models like large language models without swapping to system RAM, supporting batch sizes up to 6x larger. Bandwidth of 768 GB/s compared to 448 GB/s minimizes data transfer bottlenecks during training epochs, reducing overall time by facilitating quicker weight updates and activations. The RTX 2070's lower 175W TDP versus 300W limits sustained loads, potentially throttling under prolonged workloads.
Power efficiency tilts toward the RTX 2070 for short bursts, but the A6000's architecture optimizes for high-utilization professional use, making it superior for scalable cloud deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the RTX 2070
The RTX 2070 excels in cost-sensitive scenarios with light workloads. At $0.02 per hour from offers averaging $0.04 per hour, it handles basic inference on models under 8 GB VRAM, such as small CNNs for image classification. Its 7.5 TFLOPS FP16 suits prototyping or edge deployments where 175W TDP fits low-power instances.
Choose it for hobbyist projects or when scaling horizontally across many cheap instances compensates for individual limits.
When to Choose the RTX A6000
Opt for the RTX A6000 in production machine learning pipelines requiring high VRAM and compute. Its 48 GB GDDR6 supports training large transformers, while 38.7 TFLOPS FP32 speeds convergence on datasets with millions of parameters. Bandwidth at 768 GB/s ensures smooth handling of high-resolution data in generative tasks.
It dominates enterprise use with 55 cloud offers averaging $1.09 per hour, justifying cost for faster iteration in teams.
Use Cases
LLM training demands over 8 GB VRAM for model weights; RTX A6000's 48 GB and 38.7 TFLOPS FP16 enable full fine-tuning of billion-parameter models, unlike RTX 2070.
Large LLMs exceed 8 GB VRAM during batched inference; A6000's 768 GB/s bandwidth and higher TFLOPS support higher throughput for production serving.
Fine-tuning mid-sized models benefits from 48 GB VRAM for larger batches; A6000's 38.7 TFLOPS reduces epochs versus 2070's 7.5 TFLOPS.
High-resolution diffusion models require 48 GB VRAM to avoid out-of-memory errors; A6000's bandwidth accelerates sampling over 2070's limits.
Simulations with large matrices leverage A6000's 38.7 TFLOPS FP32 and NVLink for multi-GPU scaling, far beyond 2070's 7.5 TFLOPS.
Frequently Asked Questions
Can RTX 2070 handle machine learning training?▾
RTX 2070 supports training small models under 8 GB VRAM with 7.5 TFLOPS FP16. It struggles with larger datasets due to limited bandwidth of 448 GB/s. For serious training, upgrade to higher VRAM options.
How much VRAM does RTX A6000 have compared to RTX 2070?▾
RTX A6000 offers 48 GB GDDR6 VRAM, six times the RTX 2070's 8 GB. This enables larger models and batch sizes. Bandwidth is 768 GB/s versus 448 GB/s for faster data access.
What is the price difference in cloud rentals?▾
RTX 2070 rents from $0.02 per hour, averaging $0.04 across 2 offers. RTX A6000 starts at $0.25 per hour, averaging $1.09 across 55 offers. Cost scales with performance.
Is RTX A6000 better for AI inference?▾
Yes, with 38.7 TFLOPS FP16 and 48 GB VRAM, RTX A6000 handles high-throughput inference on large models. RTX 2070's 7.5 TFLOPS limits it to small-scale tasks.
Do both GPUs support NVLink?▾
Both RTX 2070 and RTX A6000 include NVLink interconnects for multi-GPU setups. PCIe form factors ensure compatibility in cloud instances. A6000 scales better due to higher specs.
What is the TDP of these GPUs?▾
RTX 2070 has 175W TDP, suitable for efficient instances. RTX A6000 requires 300W, reflecting its 38.7 TFLOPS compute. Choose based on host power limits.
Which is cheaper to rent, the RTX 2070 or the RTX A6000?▾
Cloud rental prices for both the RTX 2070 and RTX A6000 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 2070 have compared to the RTX A6000?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find RTX 2070 and RTX A6000 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 2070 and the RTX A6000?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 5.2x the FP16 throughput and 1.7x the memory bandwidth of the RTX 2070.