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
Peak FP16 performance stands at 16.3 TFLOPS for the Quadro RTX 8000 and 15.1 TFLOPS for the RTX 4060 Ti: this similarity implies comparable speeds for half-precision model training and inference. FP32 matches at the same rates, supporting consistent single-precision scientific computing or graphics rendering. The Ada Lovelace architecture in the RTX 4060 Ti introduces efficiency gains over Turing, potentially yielding better real-world utilization in optimized software stacks.
Memory bandwidth of 672 GB/s on the Quadro RTX 8000 enables handling larger batch sizes during training, minimizing data transfer delays compared to 272 GB/s on the RTX 4060 Ti. The 48 GB VRAM capacity allows loading full large language models without partitioning, whereas 8 GB VRAM on the RTX 4060 Ti necessitates model sharding or quantization for similar tasks. Higher TDP at 260 W reflects the Quadro RTX 8000's capability for sustained high loads, but the RTX 4060 Ti's 115 W suits dense cloud deployments.
NVLink on the Quadro RTX 8000 facilitates multi-GPU scaling for distributed training, a feature missing in the RTX 4060 Ti. These specs translate to the Quadro RTX 8000 excelling in bandwidth-bound workloads, while the RTX 4060 Ti prioritizes power efficiency for inference serving.
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 suits workloads demanding high VRAM and bandwidth, such as training large models requiring 48 GB GDDR6 to avoid out-of-memory errors. Its 672 GB/s bandwidth supports bigger batch sizes, accelerating convergence in memory-intensive simulations. NVLink enables efficient multi-GPU setups for scaled scientific computing.
When to Choose the RTX 4060 Ti
Opt for the RTX 4060 Ti in cost-sensitive or power-limited cloud scenarios, with pricing from $0.08 per hour and 115 W TDP allowing more instances per server. The 2023 Ada Lovelace architecture delivers 15.1 TFLOPS FP16 efficiently for inference on smaller models fitting within 8 GB VRAM. It excels in high-throughput serving where low latency trumps raw capacity.
Use Cases
The Quadro RTX 8000's 48 GB VRAM accommodates full large models without sharding, unlike the RTX 4060 Ti's 8 GB limit. Higher 672 GB/s bandwidth supports larger batches for faster training.
RTX 4060 Ti's Ada Lovelace architecture and 115 W TDP enable efficient, low-cost serving at $0.08 per hour. 15.1 TFLOPS FP16 handles quantized models within 8 GB VRAM effectively.
Smaller datasets fit both GPUs' FP32 at 16.3 TFLOPS for Quadro RTX 8000 and 15.1 TFLOPS for RTX 4060 Ti. Choose based on cost or memory needs.
RTX 4060 Ti's newer architecture optimizes image generation with 272 GB/s bandwidth for 8 GB models. Lower power and pricing suit iterative creative workflows.
Quadro RTX 8000's 48 GB VRAM and NVLink support complex simulations needing high memory and multi-GPU scaling. 672 GB/s bandwidth reduces bottlenecks in data-heavy computations.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 8000 and RTX 4060 Ti?▾
The Quadro RTX 8000 has 48 GB GDDR6 VRAM, six times more than the RTX 4060 Ti's 8 GB GDDR6. This allows the Quadro RTX 8000 to handle larger models or datasets without splitting. The RTX 4060 Ti requires techniques like quantization for memory-constrained tasks.
How do their FP32 performances compare?▾
Both offer similar FP32 at 16.3 TFLOPS for Quadro RTX 8000 and 15.1 TFLOPS for RTX 4060 Ti. This equates to near-parity in single-precision compute tasks like simulations. Ada Lovelace may provide software optimizations for slight edges.
Which has higher memory bandwidth?▾
Quadro RTX 8000 leads with 672 GB/s versus RTX 4060 Ti's 272 GB/s. Higher bandwidth on Quadro RTX 8000 supports larger batch sizes in training. RTX 4060 Ti suffices for smaller-scale inference.
What are the power consumption differences?▾
Quadro RTX 8000 draws 260 W TDP, double the RTX 4060 Ti's 115 W. Lower TDP on RTX 4060 Ti enables denser cloud packing and lower costs at $0.08 per hour. Quadro RTX 8000 suits high-performance single-instance needs.
Is there cloud pricing for these GPUs?▾
No live offers exist for Quadro RTX 8000 currently. RTX 4060 Ti starts at $0.08 per hour, averaging $0.14 across six providers. This makes RTX 4060 Ti more accessible for rentals.
Which architecture is newer?▾
RTX 4060 Ti uses 2023 Ada Lovelace, newer than Quadro RTX 8000's 2018 Turing. Ada offers efficiency improvements in tensor operations at 15.1 TFLOPS FP16. Turing provides NVLink for multi-GPU in Quadro RTX 8000.
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.