GTX 1070 Ti vs RTX 2060

PascalvsTuringUpdated 35 days ago

The RTX 2060 emerges as the winner for most common cloud use cases: despite lower 6.5 TFLOPS ratings, Turing tensor cores and 336 GB/s bandwidth optimize LLM training, inference, and Stable Diffusion workloads. Availability from $0.02 per hour ensures practicality over the higher 8.9 TFLOPS but unavailable GTX 1070 Ti.

Specifications Compared

SpecGTX-1070RTX-2060
TDP150W160W
VRAM8 GB6-12 GB
CUDA Cores1,9201,920
Memory TypeGDDR5GDDR6
ArchitecturePascalTuring
Form FactorsPCIePCIe
Interconnect
FP16 Performance6.5 TFLOPS6.5 TFLOPS
FP32 Performance6.5 TFLOPS6.5 TFLOPS
Memory Bandwidth256 GB/s336 GB/s

Performance Analysis

The GTX 1070 Ti holds a clear compute edge: 8.9 TFLOPS FP32 performance exceeds the RTX 2060's 6.5 TFLOPS by 37 percent. This benefits FP32-heavy tasks such as general-purpose scientific computing where single-precision floating point dominates. FP16 matches at 8.9 TFLOPS versus 6.5 TFLOPS, aiding half-precision inference, though Turing tensor cores deliver multiplicative gains in matrix multiply-accumulate operations for deep learning not captured in base specs. Higher memory bandwidth on the RTX 2060 reaches 336 GB/s compared to 256 GB/s on GTX 1070 Ti: this enables larger batch sizes in training, reducing data transfer overheads and improving utilization in memory-bound scenarios like large-model fine-tuning. The modest TDP gap of 180 W versus 160 W implies similar power efficiency, but GDDR6 memory on RTX 2060 sustains higher throughput under load.

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When to Choose the GTX 1070 Ti

Select the GTX 1070 Ti for workloads prioritizing raw FP32 and FP16 throughput: its 8.9 TFLOPS outperforms the RTX 2060's 6.5 TFLOPS in legacy compute applications without ray tracing needs. The fixed 8 GB GDDR5 VRAM suits consistent memory demands in scientific simulations or older ML frameworks compatible with Pascal. Local deployments benefit where cloud pricing lacks availability for this GPU.

When to Choose the RTX 2060

Opt for the RTX 2060 in AI-driven tasks leveraging Turing features: tensor cores accelerate FP16 training and inference beyond the listed 6.5 TFLOPS. Superior 336 GB/s bandwidth and up to 12 GB GDDR6 VRAM handle larger batches and models effectively. Cloud access at $0.02 per hour provides scalable, cost-efficient options unavailable for GTX 1070 Ti.

Use Cases

LLM Training
RTX 2060

RTX 2060 tensor cores provide accelerated FP16 matrix operations critical for training efficiency. Higher 336 GB/s bandwidth supports larger batches than GTX 1070 Ti's 256 GB/s.

LLM Inference
RTX 2060

Turing architecture enables optimized inference via tensor cores despite base 6.5 TFLOPS FP16. Cloud pricing from $0.02 per hour adds scalability absent in GTX 1070 Ti.

Fine-tuning
RTX 2060

RTX 2060's 6-12 GB VRAM options and 336 GB/s bandwidth accommodate fine-tuning larger models. Tensor acceleration outperforms GTX 1070 Ti's raw 8.9 TFLOPS in practice.

Stable Diffusion
RTX 2060

Turing ray tracing and tensor cores enhance diffusion model generation on RTX 2060. GDDR6 memory at 336 GB/s exceeds Pascal's capabilities for image workloads.

Scientific Computing
GTX 1070 Ti

GTX 1070 Ti's 8.9 TFLOPS FP32 delivers 37 percent higher raw compute than RTX 2060's 6.5 TFLOPS. Fixed 8 GB VRAM suffices for traditional simulations.

Frequently Asked Questions

Does the GTX 1070 Ti have more VRAM than the RTX 2060?

The GTX 1070 Ti features 8 GB GDDR5 VRAM standard. The RTX 2060 offers 6-12 GB GDDR6 depending on variant. Higher-end RTX 2060 models exceed it, but base is lower.

Which GPU has higher compute performance?

GTX 1070 Ti achieves 8.9 TFLOPS in FP32 and FP16, surpassing RTX 2060's 6.5 TFLOPS by 37 percent. Turing tensor cores provide advantages in AI-specific operations.

What are the power requirements?

GTX 1070 Ti has a 180 W TDP. RTX 2060 requires 160 W. Both suit standard PCIe power delivery.

Is RTX 2060 available on cloud platforms?

RTX 2060 cloud pricing starts at $0.02 per hour, averaging $0.04 per hour across two offers. GTX 1070 Ti currently has no live cloud offers.

How does memory bandwidth compare?

RTX 2060 delivers 336 GB/s bandwidth with GDDR6. GTX 1070 Ti provides 256 GB/s using GDDR5. The difference aids RTX 2060 in memory-intensive tasks.

Which is better for machine learning?

RTX 2060 excels due to Turing tensor cores accelerating FP16 beyond 6.5 TFLOPS base. GTX 1070 Ti's 8.9 TFLOPS suits non-tensorized legacy ML.

Which is cheaper to rent, the GTX 1070 or the RTX 2060?

Cloud rental prices for both the GTX 1070 and RTX 2060 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 RTX 2060?

The GTX 1070 has 8 GB of GDDR5 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.

Can I find GTX 1070 and RTX 2060 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 RTX 2060?

The GTX 1070 uses the Pascal architecture (2016) while the RTX 2060 uses Turing (2019). The RTX 2060 delivers 1.0x the FP16 throughput and 1.3x the memory bandwidth of the GTX 1070.

GTX 1070 Ti vs RTX 2060: 12GB GDDR6 vs 8GB GDDR5 | GPUPerHour