GTX 1070 Ti vs Quadro RTX 5000

PascalvsTuringUpdated 35 days ago

The Quadro RTX 5000 is the superior choice for most machine learning use cases on gpuperhour.com. Its 16 GB VRAM, 448 GB/s bandwidth, and 11.2 TFLOPS performance outpace the GTX 1070 Ti's 8 GB, 308 GB/s, and 8.9 TFLOPS, enabling larger models and faster iteration in cloud rentals.

Quadro RTX 5000 from $0.82/hr

Specifications Compared

SpecGTX-1070QUADRO-RTX-5000
TDP150W230W
VRAM8 GB16 GB
CUDA Cores1,9203,072
Memory TypeGDDR5GDDR6
ArchitecturePascalTuring
Form FactorsPCIePCIe
InterconnectNVLink
FP16 Performance6.5 TFLOPS11.2 TFLOPS
FP32 Performance6.5 TFLOPS11.2 TFLOPS
Memory Bandwidth256 GB/s448 GB/s

Performance Analysis

The Quadro RTX 5000 outperforms the GTX 1070 Ti by 26 percent in FP32 throughput: 11.2 TFLOPS versus 8.9 TFLOPS. This gap translates to faster training cycles in deep learning models, where FP32 handles weight updates. For FP16 inference, the same 26 percent advantage accelerates low-precision deployments, common in production environments. Turing's tensor cores enhance this further for compatible frameworks, though base specs show parity in listed FP16 rates. Memory differences are stark: 16 GB versus 8 GB allows larger batch sizes in training, reducing overhead from data loading. The 448 GB/s bandwidth of the Quadro RTX 5000, 45 percent higher than 308 GB/s, minimizes bottlenecks in memory-intensive tasks like large language model fine-tuning. Higher TDP at 230W reflects this capability, compared to 180W for the GTX 1070 Ti, impacting power costs in prolonged cloud sessions.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

Quadro RTX 5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
NVIDIA Quadro RTX 5000
16GB VRAM
$0.82/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 5000
16GB VRAM
$0.82/GPU/hr
$1.64/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the GTX 1070 Ti

The GTX 1070 Ti suits budget-conscious users with light workloads. Its 180W TDP enables deployment in power-sensitive environments, and 8.9 TFLOPS FP32 suffices for small-scale inference or gaming emulation. Without live cloud offers, it excels in local setups or spot markets where availability trumps modernity.

When to Choose the Quadro RTX 5000

Opt for the Quadro RTX 5000 in demanding professional applications. The 16 GB VRAM and 448 GB/s bandwidth handle large datasets effectively, ideal for training with batch sizes exceeding GTX 1070 Ti limits. NVLink interconnect supports multi-GPU configurations, and cloud pricing starts at $0.82 per hour across two providers.

Use Cases

LLM Training
Quadro RTX 5000

The Quadro RTX 5000's 16 GB VRAM supports larger batch sizes than the GTX 1070 Ti's 8 GB. Its 11.2 TFLOPS FP16 outperforms 8.9 TFLOPS for extended training sessions.

LLM Inference
Quadro RTX 5000

Higher memory bandwidth of 448 GB/s on the Quadro RTX 5000 reduces latency compared to 308 GB/s on the GTX 1070 Ti. NVLink aids multi-GPU inference scaling.

Fine-tuning
Quadro RTX 5000

Quadro RTX 5000's Turing architecture and 11.2 TFLOPS FP32 accelerate fine-tuning over Pascal's 8.9 TFLOPS. 16 GB VRAM fits bigger models.

Stable Diffusion
Either

Both GPUs manage Stable Diffusion with 8-16 GB VRAM needs. GTX 1070 Ti suffices for basic generations at lower cost if locally available.

Scientific Computing
Quadro RTX 5000

Quadro RTX 5000's 230W TDP and NVLink handle parallel simulations better than GTX 1070 Ti's 180W single-GPU limit.

Frequently Asked Questions

What is the FP32 performance difference between GTX 1070 Ti and Quadro RTX 5000?

The Quadro RTX 5000 delivers 11.2 TFLOPS FP32, 26 percent higher than the GTX 1070 Ti's 8.9 TFLOPS. This benefits compute-heavy tasks like model training. FP16 matches this delta at 11.2 versus 8.9 TFLOPS.

Does the Quadro RTX 5000 have more VRAM than GTX 1070 Ti?

Yes, the Quadro RTX 5000 has 16 GB GDDR6 VRAM, double the GTX 1070 Ti's 8 GB GDDR5. This enables larger batch sizes in machine learning. Bandwidth is also superior at 448 GB/s versus 308 GB/s.

What is the TDP of these GPUs?

The GTX 1070 Ti consumes 180W, lower than the Quadro RTX 5000's 230W. Lower TDP suits power-limited setups. Higher TDP on RTX 5000 supports sustained high performance.

Is Quadro RTX 5000 available on cloud platforms?

Cloud pricing for Quadro RTX 5000 starts at $0.82 per hour, averaging $0.82 across two offers. GTX 1070 Ti has no live offers currently. This makes RTX 5000 readily rentable.

Can GTX 1070 Ti use NVLink?

No, the GTX 1070 Ti lacks NVLink interconnect, limited to PCIe. Quadro RTX 5000 supports NVLink for multi-GPU connectivity. This limits GTX 1070 Ti in scaled workloads.

Which GPU is newer?

Quadro RTX 5000 uses 2018 Turing architecture, succeeding GTX 1070 Ti's 2017 Pascal. Turing offers tensor cores for AI acceleration. Pascal remains viable for legacy software.

Which is cheaper to rent, the GTX 1070 or the Quadro RTX 5000?

Cloud rental prices for both the GTX 1070 and Quadro RTX 5000 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 GTX 1070 have compared to the Quadro RTX 5000?

The GTX 1070 has 8 GB of GDDR5 memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.

Can I find GTX 1070 and Quadro RTX 5000 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 GTX 1070 and the Quadro RTX 5000?

The GTX 1070 uses the Pascal architecture (2016) while the Quadro RTX 5000 uses Turing (2018). The Quadro RTX 5000 delivers 1.7x the FP16 throughput and 1.8x the memory bandwidth of the GTX 1070.