RTX 3080 Ti vs RTX A5000

AmperevsAmpereUpdated 35 days ago

The RTX A5000 emerges as the winner for most machine learning use cases due to its 24 GB VRAM capacity, doubling the RTX 3080 Ti's 10 to 12 GB and enabling larger models or batches essential in LLM training and inference. While the 3080 Ti offers 29.8 TFLOPS versus 27.8 TFLOPS, VRAM constraints limit its versatility in modern AI workflows.

RTX A5000 from $0.23/hr

Specifications Compared

SpecRTX-3080RTX-A5000
TDP320W230W
VRAM10-12 GB24 GB
CUDA Cores8,7048,192
Memory TypeGDDR6XGDDR6
ArchitectureAmpereAmpere
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores272256
FP16 Performance29.8 TFLOPS27.8 TFLOPS
FP32 Performance29.8 TFLOPS27.8 TFLOPS
Memory Bandwidth760 GB/s768 GB/s

Performance Analysis

The RTX 3080 Ti demonstrates superior raw compute power at 29.8 TFLOPS for FP16 and FP32, exceeding the RTX A5000's 27.8 TFLOPS by 7 percent. This advantage accelerates training and inference in floating-point heavy tasks, such as neural network forward passes or gradient computations, where every TFLOP counts toward faster epochs.

Memory bandwidth remains closely matched, with 760 GB/s on the RTX 3080 Ti and 768 GB/s on the RTX A5000. This parity supports similar maximum batch sizes in data-parallel training, preventing bottlenecks from data transfer in most convolutional or transformer models. The RTX A5000's 24 GB VRAM vastly outpaces the RTX 3080 Ti's 10 to 12 GB, allowing larger batch sizes or model sizes without offloading to system RAM, crucial for memory-bound inference on large language models.

Power draw differs markedly: the RTX 3080 Ti's 320 W TDP demands more cooling and electricity than the A5000's 230 W, affecting density in cloud instances. NVLink on the A5000 facilitates efficient multi-GPU communication, boosting scaled training performance beyond single-GPU limits.

Live Cloud Pricing

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

RTX A5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
4×NVIDIA RTX A5000
24GB VRAM
$0.23/GPU/hr
$0.92/hr total (4×)
Available
Vast.ai
Vast.ai
NVIDIA RTX A5000
24GB VRAM
$0.24/GPU/hr
Available
RunPod
RunPod
NVIDIA RTX A5000
24GB VRAM
$0.27/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.41/GPU/hr
$3.28/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.46/GPU/hr
$3.68/hr total (8×)

Compare real-time pricing across 25+ providers

When to Choose the RTX 3080 Ti

Choose the RTX 3080 Ti for workloads fitting within 10 to 12 GB VRAM where peak compute matters most. Its 29.8 TFLOPS outperforms the A5000's 27.8 TFLOPS, ideal for single-GPU inference or training smaller models like computer vision networks. Average cloud pricing of $0.14 per hour across 4 offers provides strong value compared to the A5000's $0.43 per hour average.

When to Choose the RTX A5000

The RTX A5000 excels in memory-intensive scenarios requiring 24 GB VRAM, such as fine-tuning large transformers that exceed the RTX 3080 Ti's 10 to 12 GB limit. NVLink support enables seamless multi-GPU configurations for distributed training, and its 230 W TDP suits power-efficient deployments. Availability across 33 cloud offers, starting at $0.03 per hour, aids scalability.

Use Cases

LLM Training
RTX A5000

The RTX A5000's 24 GB VRAM handles large language models that exceed the RTX 3080 Ti's 10 to 12 GB limit. NVLink supports multi-GPU scaling for extended training runs.

LLM Inference
RTX A5000

24 GB VRAM on the RTX A5000 accommodates bigger batch sizes for high-throughput inference compared to 10 to 12 GB on the RTX 3080 Ti. This reduces latency in production deployments.

Fine-tuning
RTX A5000

Fine-tuning large models benefits from the A5000's 24 GB VRAM to avoid memory swapping, unlike the 3080 Ti's 10 to 12 GB constraint.

Stable Diffusion
RTX 3080 Ti

The RTX 3080 Ti's 29.8 TFLOPS and 760 GB/s bandwidth deliver faster generation speeds for Stable Diffusion within 10 to 12 GB VRAM limits. Lower average pricing at $0.14 per hour enhances cost efficiency.

Scientific Computing
Either

Similar FP32 performance at 29.8 TFLOPS for 3080 Ti and 27.8 TFLOPS for A5000 suits simulations; choose A5000 for 24 GB VRAM in large datasets or 3080 Ti for budget at $0.14 per hour average.

Frequently Asked Questions

Which GPU has more VRAM: RTX 3080 Ti or RTX A5000?

The RTX A5000 provides 24 GB GDDR6 VRAM, double the RTX 3080 Ti's 10 to 12 GB GDDR6X. This makes the A5000 better for memory-heavy AI tasks. VRAM difference directly impacts maximum model size supported.

How do the TFLOPS compare between RTX 3080 Ti and RTX A5000?

RTX 3080 Ti achieves 29.8 TFLOPS in FP16 and FP32, surpassing the RTX A5000's 27.8 TFLOPS by 7 percent. Higher TFLOPS on the 3080 Ti speeds up compute-bound training and inference. Both use Ampere architecture for tensor core acceleration.

What are the cloud pricing differences for these GPUs?

RTX 3080 Ti pricing starts at $0.08 per hour, averaging $0.14 per hour across 4 offers. RTX A5000 begins at $0.03 per hour, averaging $0.43 per hour across 33 offers. More offers for A5000 improve availability.

Does either GPU support NVLink?

The RTX A5000 includes NVLink for multi-GPU interconnects, enabling fast data sharing in scaled setups. The RTX 3080 Ti lacks this feature, limiting it to PCIe communication. NVLink boosts distributed training efficiency.

Which has lower power consumption?

RTX A5000 draws 230 W TDP, lower than the RTX 3080 Ti's 320 W. This improves energy efficiency in cloud instances. Lower TDP aids denser deployments without excessive cooling needs.

Are memory bandwidths similar?

RTX 3080 Ti offers 760 GB/s, nearly matching the RTX A5000's 768 GB/s. This equivalence supports comparable batch sizes in bandwidth-limited workloads. Differences minimally impact most ML pipelines.

Which is cheaper to rent, the RTX 3080 or the RTX A5000?

Cloud rental prices for both the RTX 3080 and RTX A5000 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 3080 have compared to the RTX A5000?

The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find RTX 3080 and RTX A5000 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 3080 and the RTX A5000?

The RTX 3080 uses the Ampere architecture (2020) while the RTX A5000 uses Ampere (2021). The RTX 3080 delivers 1.1x the FP16 throughput and 1.0x the memory bandwidth of the RTX A5000.