RTX 3090 Ti vs RTX A4000

AmperevsAmpereUpdated 35 days ago

The RTX 3090 Ti emerges as the winner for most common machine learning use cases, including LLM training and inference. Its 24 GB VRAM, 936 GB/s bandwidth, and 35.6 TFLOPS deliver unmatched capacity and speed over the A4000's 16 GB, 448 GB/s, and 19.2 TFLOPS, justifying the similar average pricing of $0.25/hr versus $0.35/hr.

RTX 3090 Ti from $0.20/hrRTX A4000 from $0.08/hr

Specifications Compared

SpecRTX-3090RTX-A4000
TDP350W140W
VRAM24 GB16 GB
CUDA Cores10,4966,144
Memory TypeGDDR6XGDDR6
ArchitectureAmpereAmpere
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores328192
FP16 Performance35.6 TFLOPS19.2 TFLOPS
FP32 Performance35.6 TFLOPS19.2 TFLOPS
Memory Bandwidth936 GB/s448 GB/s

Performance Analysis

Compute performance differs markedly: the RTX 3090 Ti achieves 35.6 TFLOPS FP16 and FP32, 85 percent higher than the RTX A4000's 19.2 TFLOPS. For machine learning training, this enables the RTX 3090 Ti to process models faster, reducing epoch times significantly. Inference benefits similarly, with higher throughput for real-time applications.

Memory specs impact practical usage profoundly: 24 GB VRAM on the RTX 3090 Ti versus 16 GB on the RTX A4000 allows loading larger models without splitting. The 936 GB/s bandwidth doubles the A4000's 448 GB/s, supporting bigger batch sizes and minimizing data transfer bottlenecks during training. Higher TDP of 350W on the RTX 3090 Ti reflects its power demands, compared to 140W on the A4000.

Overall, these translate to superior scalability for memory-bound tasks on the RTX 3090 Ti, while the A4000 suits lighter, efficiency-focused workloads.

Live Cloud Pricing

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

RTX 3090 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 3090
24GB VRAM
$0.20/GPU/hr
Available
TensorDock
TensorDock
NVIDIA GeForce RTX 3090
24GB VRAM
$0.21/GPU/hr
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3090
24GB VRAM
$0.25/GPU/hr
$1.01/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3090
24GB VRAM
$0.27/GPU/hr
$1.07/hr total (4×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA GeForce RTX 3090
24GB VRAM
$0.29/GPU/hr
$2.29/hr total (8×)
Available

RTX A4000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA RTX A4000
16GB VRAM
$0.08/GPU/hr
Available
Vast.ai
Vast.ai
8×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$1.17/hr total (8×)
Available
Hyperstack
Hyperstack
4×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$0.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$0.30/hr total (2×)
Available
Hyperstack
Hyperstack
NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 3090 Ti

Choose the RTX 3090 Ti for memory-intensive tasks like training large language models exceeding 16 GB VRAM requirements. Its 24 GB GDDR6X and 936 GB/s bandwidth handle massive datasets and large batch sizes effectively. NVLink support facilitates multi-GPU configurations for scaled training.

At an average $0.25/hr, it offers strong value for high-throughput inference or Stable Diffusion generation where 35.6 TFLOPS outperforms the competition.

When to Choose the RTX A4000

Opt for the RTX A4000 in power-constrained or cost-sensitive environments, with its 140W TDP versus 350W. It excels in fine-tuning smaller models or inference on datasets fitting within 16 GB VRAM, backed by 30 live cloud offers starting at $0.08/hr.

Greater availability makes it ideal for rapid prototyping or workloads not saturating higher bandwidth.

Use Cases

LLM Training
RTX 3090 Ti

RTX 3090 Ti's 24 GB VRAM and 936 GB/s bandwidth accommodate larger models and batches than A4000's 16 GB and 448 GB/s. Higher 35.6 TFLOPS accelerates convergence.

LLM Inference
RTX 3090 Ti

35.6 TFLOPS FP16 on RTX 3090 Ti provides faster token generation for large models fitting its 24 GB VRAM. Bandwidth advantage reduces latency.

Fine-tuning
Either

Both handle fine-tuning within 16 GB limits effectively, but RTX 3090 Ti scales to larger adapters via 24 GB VRAM. A4000 suffices for efficiency at 140W TDP.

Stable Diffusion
RTX 3090 Ti

RTX 3090 Ti's 24 GB VRAM supports high-resolution image generation without swapping, leveraging 936 GB/s bandwidth. 35.6 TFLOPS boosts iteration speed.

Scientific Computing
RTX A4000

RTX A4000's 140W TDP and 19.2 TFLOPS fit power-limited clusters. 30 cloud offers ensure availability for simulations under 16 GB VRAM.

Frequently Asked Questions

Which GPU has more VRAM: RTX 3090 Ti or RTX A4000?

The RTX 3090 Ti has 24 GB GDDR6X VRAM, exceeding the RTX A4000's 16 GB GDDR6. This makes the 3090 Ti better for large models. Bandwidth follows suit at 936 GB/s versus 448 GB/s.

What are the cloud prices for RTX 3090 Ti and RTX A4000?

RTX 3090 Ti starts at $0.10/hr with average $0.25/hr across 5 offers. RTX A4000 begins at $0.08/hr, averaging $0.35/hr over 30 offers. Prices vary by provider on gpuperhour.com.

How do FP32 performance levels compare?

RTX 3090 Ti delivers 35.6 TFLOPS FP32, nearly double the RTX A4000's 19.2 TFLOPS. This gap speeds up general compute tasks. FP16 matches at the same rates for each.

Which is better for multi-GPU setups?

RTX 3090 Ti supports NVLink interconnect for efficient scaling. RTX A4000 lacks this feature. Both use PCIe form factors.

What are the TDP differences?

RTX 3090 Ti requires 350W TDP, higher than RTX A4000's 140W. Lower TDP aids dense deployments. Performance scales with power draw.

RTX 3090 Ti vs A4000 for AI training?

RTX 3090 Ti excels with 24 GB VRAM and 35.6 TFLOPS for large-scale training. A4000 suits smaller jobs at lower power. Choose based on model size.

Which is cheaper to rent, the RTX 3090 or the RTX A4000?

Cloud rental prices for both the RTX 3090 and RTX A4000 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 3090 have compared to the RTX A4000?

The RTX 3090 has 24 GB of GDDR6X memory. The RTX A4000 has 16 GB of GDDR6 memory.

Can I find RTX 3090 and RTX A4000 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 3090 and the RTX A4000?

The RTX 3090 uses the Ampere architecture (2020) while the RTX A4000 uses Ampere (2021). The RTX 3090 delivers 1.9x the FP16 throughput and 2.1x the memory bandwidth of the RTX A4000.

RTX 3090 Ti vs RTX A4000: 24GB GDDR6X vs 16GB GDDR6 | GPUPerHour