Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-4060 |
|---|---|---|
| TDP | 260W | 115W |
| VRAM | 48 GB | 8 GB |
| CUDA Cores | 4,608 | 3,072 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 96 |
| FP16 Performance | 16.3 TFLOPS | 15.1 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 15.1 TFLOPS |
| Memory Bandwidth | 672 GB/s | 272 GB/s |
Performance Analysis
Raw compute metrics reveal parity: the Quadro RTX 8000 achieves 16.3 TFLOPS in both FP16 and FP32, while the RTX 4060 reaches 15.1 TFLOPS in each. This near-equivalence implies similar training speeds for half-precision models and inference latency in single-precision operations, with less than 8 percent variance.
Memory specs diverge sharply: 48 GB VRAM on the Quadro RTX 8000 supports models and batch sizes far beyond the RTX 4060's 8 GB limit, preventing out-of-memory errors in large language model training. The 672 GB/s bandwidth triples the RTX 4060's 272 GB/s, accelerating data throughput for bigger batches and reducing training epochs in memory-bound scenarios.
Power profiles contrast at 260W TDP for the Quadro RTX 8000 versus 115W for the RTX 4060, favoring the latter for sustained cloud runs. Higher bandwidth and VRAM on Quadro RTX 8000 enhance scalability via NVLink, while Ada Lovelace optimizations may boost real-world inference efficiency despite spec similarities.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the Quadro RTX 8000
The Quadro RTX 8000 outperforms in VRAM-demanding applications: its 48 GB capacity handles enormous models or datasets, such as multi-billion parameter LLMs during training, where the RTX 4060's 8 GB fails. NVLink interconnect supports multi-GPU clusters for distributed computing at 672 GB/s bandwidth per card.
When to Choose the RTX 4060
The RTX 4060 fits budget-conscious deployments: cloud pricing from $0.08 per hour across 6 providers enables scalable access without upfront hardware costs. Its 115W TDP suits prolonged inference or fine-tuning of models under 8 GB, leveraging 272 GB/s bandwidth efficiently.
Use Cases
The Quadro RTX 8000's 48 GB VRAM accommodates massive models and large batch sizes, preventing out-of-memory issues during training. Its 672 GB/s bandwidth sustains high data throughput absent in the RTX 4060.
The RTX 4060's 15.1 TFLOPS FP16 matches closely with the Quadro RTX 8000's 16.3 TFLOPS for low-latency serving of models under 8 GB. Cloud pricing from $0.08 per hour makes it economical for production inference.
RTX 4060 handles fine-tuning of mid-sized models within 8 GB VRAM limits at 115W TDP for cost efficiency. Availability across 6 providers at average $0.15 per hour supports iterative experimentation.
8 GB VRAM on RTX 4060 suffices for Stable Diffusion generation at 15.1 TFLOPS, with Ada Lovelace efficiencies enhancing image throughput. Low $0.08 per hour pricing enables high-volume creative workflows.
Quadro RTX 8000's 48 GB VRAM and 672 GB/s bandwidth manage large simulations and datasets effectively. NVLink enables scaling across multiple cards for complex computations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, far exceeding the RTX 4060's 8 GB. This advantage supports larger models in training tasks. Memory capacity directly impacts batch sizes in AI workloads.
What are the FP32 performance figures?▾
Quadro RTX 8000 delivers 16.3 TFLOPS FP32, while RTX 4060 offers 15.1 TFLOPS. The difference is under 8 percent, yielding similar single-precision compute speeds. Both excel in balanced training and inference.
How do power consumptions compare?▾
Quadro RTX 8000 has a 260W TDP, double the RTX 4060's 115W. Lower TDP reduces cloud billing and heat in prolonged runs. Efficiency favors RTX 4060 for cost-sensitive users.
What is the memory bandwidth difference?▾
Quadro RTX 8000 achieves 672 GB/s, more than double the RTX 4060's 272 GB/s. Higher bandwidth minimizes bottlenecks in large-batch processing. It enhances training throughput significantly.
Is the RTX 4060 available in the cloud?▾
RTX 4060 offers start from $0.08 per hour, averaging $0.15 across 6 providers. Quadro RTX 8000 has no live offers currently. This makes RTX 4060 accessible for immediate rentals.
Which architecture is newer?▾
RTX 4060 uses Ada Lovelace from 2023, versus Turing 2018 on Quadro RTX 8000. Newer design brings per-watt gains despite similar 15.1 to 16.3 TFLOPS specs. It suits modern efficiency needs.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 4060?▾
Cloud rental prices for both the Quadro RTX 8000 and RTX 4060 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 Quadro RTX 8000 have compared to the RTX 4060?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 4060 has 8 GB of GDDR6 memory.
Can I find Quadro RTX 8000 and RTX 4060 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 Quadro RTX 8000 and the RTX 4060?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 4060 uses Ada Lovelace (2023). The Quadro RTX 8000 delivers 1.1x the FP16 throughput and 2.5x the memory bandwidth of the RTX 4060.