GTX 1070 Ti vs RTX 4090

PascalvsAda LovelaceUpdated 35 days ago

The RTX 4090 emerges as the clear winner for most common use cases like AI training and inference, delivering 82.6 TFLOPS FP32 and 165 TFLOPS FP16 against the GTX 1070 Ti's mere 8.9 TFLOPS in both. Superior 24 GB VRAM and 1008 GB/s bandwidth enable modern workloads infeasible on the legacy Pascal GPU.

RTX 4090 from $0.39/hr

Specifications Compared

SpecGTX-1070RTX-4090
TDP150W450W
VRAM8 GB24 GB
CUDA Cores1,92016,384
Memory TypeGDDR5GDDR6X
ArchitecturePascalAda Lovelace
Form FactorsPCIePCIe
InterconnectPCIe 4.0
FP16 Performance6.5 TFLOPS165 TFLOPS
FP32 Performance6.5 TFLOPS82.6 TFLOPS
Memory Bandwidth256 GB/s1,008 GB/s

Performance Analysis

The RTX 4090 vastly outpaces the GTX 1070 Ti in compute capabilities, with FP16 performance at 165 TFLOPS compared to 8.9 TFLOPS, enabling up to 18 times faster half-precision training for deep learning models. FP32 throughput reaches 82.6 TFLOPS on the RTX 4090 versus 8.9 TFLOPS on the GTX 1070 Ti, a ninefold increase that accelerates single-precision inference and simulations. The FP16 to FP32 ratio on the RTX 4090 favors FP16 heavily at 2:1, ideal for modern tensor core-accelerated AI tasks, while the GTX 1070 Ti maintains a 1:1 ratio suited to older general-purpose computing. Memory bandwidth of 1008 GB/s on the RTX 4090 supports batch sizes up to four times larger than the GTX 1070 Ti's 256 GB/s limit, reducing data loading bottlenecks in large model training. This disparity means the RTX 4090 handles contemporary AI pipelines efficiently, whereas the GTX 1070 Ti struggles with memory-constrained workloads.

Live Cloud Pricing

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

RTX 4090

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 4090
24GB VRAM
$0.39/GPU/hr
Available
TensorDock
TensorDock
NVIDIA GeForce RTX 4090
24GB VRAM
$0.48/GPU/hr
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 4090
24GB VRAM
$0.53/GPU/hr
$2.13/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 4090
24GB VRAM
$0.67/GPU/hr
$2.67/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 4090
24GB VRAM
$0.67/GPU/hr
$2.67/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the GTX 1070 Ti

The GTX 1070 Ti suits scenarios demanding minimal power and cost for legacy applications. With a 180 W TDP and no current cloud offers, it fits local setups for light gaming or basic CUDA tasks incompatible with newer architectures. Developers testing older Pascal-specific code or running unoptimized FP32 workloads at 8.9 TFLOPS choose it over unavailable cloud instances.

When to Choose the RTX 4090

The RTX 4090 excels in high-performance AI and graphics demands, available from $0.16 per hour across 115 cloud offers. Its 24 GB VRAM and 1008 GB/s bandwidth handle large-scale LLM training or Stable Diffusion at 165 TFLOPS FP16. Professionals prioritize it for production inference or scientific computing requiring FP8 at 660 TFLOPS.

Use Cases

LLM Training
RTX 4090

RTX 4090's 165 TFLOPS FP16 and 24 GB VRAM support large batch training, far beyond GTX 1070 Ti's 8.9 TFLOPS and 8 GB limit.

LLM Inference
RTX 4090

RTX 4090 achieves 660 TFLOPS FP8 for rapid inference on massive models, while GTX 1070 Ti lacks FP8 and sufficient bandwidth at 256 GB/s.

Fine-tuning
RTX 4090

1008 GB/s bandwidth on RTX 4090 handles fine-tuning datasets efficiently; GTX 1070 Ti's 256 GB/s causes bottlenecks.

Stable Diffusion
RTX 4090

RTX 4090's 82.6 TFLOPS FP32 generates images quickly with 24 GB VRAM; GTX 1070 Ti at 8.9 TFLOPS limits resolution and speed.

Scientific Computing
RTX 4090

RTX 4090's PCIe 4.0 and 450 W TDP scale for complex simulations; GTX 1070 Ti's PCIe 3.0 and 180 W constrain large computations.

Frequently Asked Questions

What is the FP32 performance difference between GTX 1070 Ti and RTX 4090?

The RTX 4090 delivers 82.6 TFLOPS FP32, nine times the GTX 1070 Ti's 8.9 TFLOPS. This gap accelerates graphics rendering and general compute tasks significantly.

How much VRAM do GTX 1070 Ti and RTX 4090 have?

GTX 1070 Ti features 8 GB GDDR5, while RTX 4090 provides 24 GB GDDR6X. The RTX 4090 supports larger models without swapping to system RAM.

Is RTX 4090 available on cloud platforms unlike GTX 1070 Ti?

RTX 4090 offers start from $0.16 per hour across 115 providers, averaging $0.46 per hour. GTX 1070 Ti has no live cloud offers.

What are the TDPs of these GPUs?

GTX 1070 Ti requires 180 W TDP; RTX 4090 demands 450 W. Lower TDP makes GTX 1070 Ti preferable for power-sensitive local rigs.

Does memory bandwidth differ greatly?

RTX 4090 achieves 1008 GB/s, nearly four times the GTX 1070 Ti's 256 GB/s. Higher bandwidth enables faster data throughput for AI workloads.

Which GPU supports FP8 compute?

RTX 4090 provides 660 TFLOPS FP8 for efficient low-precision inference. GTX 1070 Ti lacks FP8 support entirely.

Which is cheaper to rent, the GTX 1070 or the RTX 4090?

Cloud rental prices for both the GTX 1070 and RTX 4090 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 4090?

The GTX 1070 has 8 GB of GDDR5 memory. The RTX 4090 has 24 GB of GDDR6X memory.

Can I find GTX 1070 and RTX 4090 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 4090?

The GTX 1070 uses the Pascal architecture (2016) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 25.4x the FP16 throughput and 3.9x the memory bandwidth of the GTX 1070.

GTX 1070 Ti vs RTX 4090: 25.4x FP16 Gap, 24GB vs 8GB | GPUPerHour