RTX 2070 vs RTX 2080

TuringvsTuringUpdated 35 days ago

The RTX 2080 emerges as the superior choice for most machine learning use cases. Its 10.1 TFLOPS compute and 616 GB/s bandwidth outperform the RTX 2070's 7.5 TFLOPS and 448 GB/s by 34 percent, enabling faster training and larger batches despite higher $0.10 per hour costs. Budget exceptions favor the RTX 2070 only for lightweight tasks.

RTX 2080 from $0.13/hr

Specifications Compared

SpecRTX-2070RTX-2080
TDP175W215W
VRAM8 GB8-11 GB
CUDA Cores2,3042,944
Memory TypeGDDR6GDDR6
ArchitectureTuringTuring
Form FactorsPCIePCIe
InterconnectNVLinkNVLink
Tensor Cores288368
FP16 Performance7.5 TFLOPS10.1 TFLOPS
FP32 Performance7.5 TFLOPS10.1 TFLOPS
Memory Bandwidth448 GB/s616 GB/s

Performance Analysis

The RTX 2080 outperforms the RTX 2070 in raw compute by 34 percent, as its 10.1 TFLOPS in FP16 and FP32 exceeds the RTX 2070's 7.5 TFLOPS. This delta translates to faster model training times, where FP16 acceleration handles mixed-precision workloads efficiently, reducing epochs by proportional margins. Inference benefits similarly, with the RTX 2080 processing more queries per second in latency-sensitive applications.

Memory bandwidth presents a clear advantage for the RTX 2080 at 616 GB/s over the RTX 2070's 448 GB/s, enabling larger batch sizes without bottlenecks. For instance, training with batch sizes exceeding 32 on the RTX 2070 risks out-of-memory errors on 8 GB VRAM, whereas the RTX 2080's 8-11 GB capacity and higher throughput support batches up to 64 comfortably. This impacts throughput in data-parallel training setups.

Power consumption differs by 23 percent, with the RTX 2080's 215W TDP demanding more cooling and electricity compared to 175W. Both share Turing architecture, ensuring comparable ray-tracing and tensor core efficiency, but the RTX 2080 sustains higher clocks under load for prolonged tasks.

Live Cloud Pricing

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

RTX 2080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA GeForce RTX 2080 Ti
11GB VRAM
$0.13/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 2070

The RTX 2070 suits budget-limited projects requiring moderate performance. Its $0.02 per hour starting price and $0.04 per hour average across two offers deliver value for inference on models under 7 billion parameters, leveraging 7.5 TFLOPS FP16 without excessive costs. Lower 175W TDP minimizes cloud provider surcharges on power usage.

Light fine-tuning or prototyping benefits from 448 GB/s bandwidth and 8 GB VRAM, avoiding overprovisioning for small datasets.

When to Choose the RTX 2080

The RTX 2080 excels in performance-critical workloads demanding speed. With 10.1 TFLOPS FP16/FP32 and 616 GB/s bandwidth, it accelerates training cycles by over 30 percent compared to the RTX 2070's 7.5 TFLOPS and 448 GB/s. The 8-11 GB VRAM range handles larger models effectively.

Users prioritizing throughput over cost select it for production inference, where eight live offers ensure availability despite $0.10 per hour average pricing.

Use Cases

LLM Training
RTX 2080

The RTX 2080's 10.1 TFLOPS FP16/FP32 and 616 GB/s bandwidth support larger batches and faster convergence than the RTX 2070's 7.5 TFLOPS and 448 GB/s.

LLM Inference
RTX 2080

Higher 10.1 TFLOPS on the RTX 2080 processes more tokens per second, ideal for high-query loads, while 8-11 GB VRAM fits bigger models versus RTX 2070's 8 GB.

Fine-tuning
Either

Both deliver Turing tensor cores effectively; RTX 2070 suffices at $0.04 per hour average for small datasets, but RTX 2080 accelerates with 34 percent more compute.

Stable Diffusion
RTX 2080

RTX 2080's 616 GB/s bandwidth and up to 11 GB VRAM generate higher-resolution images faster than RTX 2070's 448 GB/s and 8 GB limits.

Scientific Computing
RTX 2070

RTX 2070's 175W TDP and $0.02 per hour pricing optimize for sustained FP32 simulations at 7.5 TFLOPS without RTX 2080's 215W overhead.

Frequently Asked Questions

Which has better performance, RTX 2070 or RTX 2080?

The RTX 2080 leads with 10.1 TFLOPS in FP16 and FP32 versus the RTX 2070's 7.5 TFLOPS, a 34 percent gain. Memory bandwidth reaches 616 GB/s on RTX 2080 compared to 448 GB/s.

What are the cloud rental prices for these GPUs?

RTX 2070 starts at $0.02 per hour, averaging $0.04 per hour across two offers. RTX 2080 begins at $0.05 per hour, averaging $0.10 per hour over eight offers.

How much VRAM do they have?

RTX 2070 provides 8 GB GDDR6. RTX 2080 offers 8-11 GB GDDR6, accommodating larger models.

What is the power consumption difference?

RTX 2070 has a 175W TDP. RTX 2080 requires 215W, impacting cooling and energy costs in cloud environments.

Are they from the same generation?

Both use NVIDIA's Turing architecture from 2018, sharing PCIe form factors and NVLink support. Differences stem from tier positioning.

Which is better for machine learning training?

RTX 2080 excels due to 10.1 TFLOPS and 616 GB/s bandwidth, speeding training by 34 percent over RTX 2070's 7.5 TFLOPS and 448 GB/s.

Which is cheaper to rent, the RTX 2070 or the RTX 2080?

Cloud rental prices for both the RTX 2070 and RTX 2080 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 RTX 2070 have compared to the RTX 2080?

The RTX 2070 has 8 GB of GDDR6 memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.

Can I find RTX 2070 and RTX 2080 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 RTX 2070 and the RTX 2080?

The RTX 2070 uses the Turing architecture (2018) while the RTX 2080 uses Turing (2018). The RTX 2080 delivers 1.3x the FP16 throughput and 1.4x the memory bandwidth of the RTX 2070.