Specifications Compared
| Spec | QUADRO-RTX-8000 | TITAN-V |
|---|---|---|
| TDP | 260W | 250W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 4,608 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Turing | Volta |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 640 |
| FP16 Performance | 16.3 TFLOPS | 13.8 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 13.8 TFLOPS |
| Memory Bandwidth | 672 GB/s | 653 GB/s |
Performance Analysis
The Quadro RTX 8000 demonstrates superior raw performance with 16.3 TFLOPS FP32 compared to the TITAN V's 13.8 TFLOPS, yielding approximately 18 percent faster execution in single-precision training loops and inference passes common in machine learning pipelines. Identical FP16 to FP32 ratios on both GPUs, at 16.3 TFLOPS and 13.8 TFLOPS respectively, indicate balanced tensor core utilization without the FP16 multipliers of subsequent architectures, making them suitable for FP32-dominant scientific simulations or legacy frameworks.
Memory capacity defines practical limits: the Quadro RTX 8000's 48 GB GDDR6 supports model checkpoints and batch sizes infeasible on the TITAN V's 12 GB HBM2, such as training transformers exceeding 10 GB footprint. Bandwidth edges slightly higher at 672 GB/s over 653 GB/s further aid data-heavy inference, reducing latency for large datasets by enabling sustained throughput without frequent swaps.
Power efficiency remains close with 260W TDP on the Quadro RTX 8000 against 250W, but Turing's architectural refinements deliver better perf-per-watt in memory-bound scenarios.
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When to Choose the Quadro RTX 8000
The Quadro RTX 8000 excels in workloads demanding extensive VRAM, such as rendering complex CAD assemblies or training large neural networks requiring over 12 GB. Its 48 GB capacity and NVLink support facilitate multi-GPU scaling for distributed simulations, where the TITAN V falters due to limited 12 GB HBM2 and lack of interconnect. Professionals in visualization pipelines benefit from 18 percent higher 16.3 TFLOPS FP32 performance alongside 672 GB/s bandwidth for smoother large-scale data processing.
When to Choose the TITAN V
The TITAN V fits scenarios prioritizing lower power draw at 250W TDP or compatibility with Volta-optimized legacy codebases from 2017 deployments. Its HBM2 memory, despite 12 GB limit, offers cohesive access patterns in bandwidth-sensitive tasks under 653 GB/s threshold, potentially suiting compact research rigs avoiding the Quadro RTX 8000's 260W demands. Cost-conscious users sourcing used units may prefer it when VRAM needs stay below 12 GB.
Use Cases
The Quadro RTX 8000's 48 GB VRAM accommodates massive LLM parameter sets exceeding the TITAN V's 12 GB limit. Higher 16.3 TFLOPS FP32 ensures faster convergence in memory-intensive training runs.
48 GB capacity on the Quadro RTX 8000 supports high-concurrency inference with large batch sizes. 672 GB/s bandwidth minimizes latency compared to the TITAN V's constraints.
Fine-tuning mid-sized models benefits from 48 GB VRAM for gradient accumulation without OOM errors on the TITAN V's 12 GB. 18 percent FP32 advantage accelerates iterations.
Image generation pipelines require substantial VRAM for high-resolution outputs; 48 GB on Quadro RTX 8000 handles this versus TITAN V's 12 GB shortfall. Tensor performance at 16.3 TFLOPS boosts generation speed.
Both GPUs offer comparable FP32 at 16.3 TFLOPS and 13.8 TFLOPS for simulations; choose TITAN V for low-VRAM tasks under 12 GB, Quadro RTX 8000 for datasets needing 48 GB.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 8000 or TITAN V?▾
The Quadro RTX 8000 features 48 GB GDDR6 VRAM, far exceeding the TITAN V's 12 GB HBM2. This difference allows the Quadro RTX 8000 to handle larger models and datasets without memory constraints.
How do their FP32 performances compare?▾
Quadro RTX 8000 delivers 16.3 TFLOPS FP32, outperforming TITAN V's 13.8 TFLOPS by 18 percent. This translates to quicker training and simulation times on the newer Turing architecture.
What is the memory bandwidth difference?▾
Quadro RTX 8000 provides 672 GB/s, slightly above TITAN V's 653 GB/s. The edge supports marginally better data throughput in bandwidth-bound workloads.
Do they support multi-GPU interconnects?▾
Quadro RTX 8000 includes NVLink for high-speed multi-GPU communication, while TITAN V lacks any listed interconnect. This makes Quadro RTX 8000 preferable for scaled clusters.
Which has lower power consumption?▾
TITAN V consumes 250W TDP compared to Quadro RTX 8000's 260W. Both suit standard PCIe slots, but TITAN V eases thermal demands in power-sensitive builds.
What architectures do they use?▾
Quadro RTX 8000 runs Turing from 2018; TITAN V uses Volta from 2017. Turing introduces refinements yielding 16.3 TFLOPS versus Volta's 13.8 TFLOPS.
Which is cheaper to rent, the Quadro RTX 8000 or the TITAN V?▾
Cloud rental prices for both the Quadro RTX 8000 and TITAN V 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 TITAN V?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The TITAN V has 12 GB of HBM2 memory.
Can I find Quadro RTX 8000 and TITAN V 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 TITAN V?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the TITAN V uses Volta (2017). The Quadro RTX 8000 delivers 1.2x the FP16 throughput and 1.0x the memory bandwidth of the TITAN V.