A30 vs RTX 3080 Ti

AmperevsAmpereUpdated 35 days ago

The RTX 3080 Ti emerges as the winner for most common use cases like LLM fine-tuning and inference, thanks to its 29.8 TFLOPS FP16/FP32 performance dwarfing the A30's 10.3 TFLOPS, alongside cloud pricing from $0.08 per hour. The A30 suits niche memory-bound scenarios only.

Specifications Compared

SpecA30RTX-3080
TDP165W320W
VRAM24 GB10-12 GB
CUDA Cores3,5848,704
Memory TypeHBM2GDDR6X
ArchitectureAmpereAmpere
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores224272
FP16 Performance10.3 TFLOPS29.8 TFLOPS
FP32 Performance10.3 TFLOPS29.8 TFLOPS
FP64 Performance5.2 TFLOPS
INT8 Performance165 TOPS
Memory Bandwidth933 GB/s760 GB/s

Performance Analysis

The RTX 3080 Ti outperforms the A30 in raw compute with 29.8 TFLOPS FP16 and FP32 versus 10.3 TFLOPS, nearly tripling performance for training and inference in compute-bound scenarios. This delta translates to faster epoch times in model training, where FP16 tensor operations dominate deep learning pipelines, and quicker inference latency for real-time applications. However, the A30 counters with superior 24 GB HBM2 VRAM against 10-12 GB GDDR6X, enabling larger batch sizes or bigger models without out-of-memory errors. Its 933 GB/s bandwidth exceeds the RTX 3080 Ti's 760 GB/s, reducing bottlenecks in memory-intensive tasks like large-scale data loading or high-resolution simulations. The A30's 165W TDP versus 320W allows denser deployments, though the RTX 3080 Ti's higher power supports aggressive overclocking in single-GPU setups.

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When to Choose the A30

Select the A30 for workloads demanding extensive memory, such as training large language models exceeding 12 GB VRAM requirements. Its 24 GB HBM2 and 933 GB/s bandwidth excel in multi-GPU configurations via NVLink, ideal for data centers with power constraints at 165W TDP. Enterprise environments prioritizing reliability over peak speed benefit from this setup.

When to Choose the RTX 3080 Ti

Opt for the RTX 3080 Ti in compute-heavy tasks like fine-tuning or inference where 29.8 TFLOPS FP16/FP32 deliver up to 2.9 times the throughput of the A30's 10.3 TFLOPS. Its availability at $0.08 per hour average $0.14 per hour suits budget-conscious cloud users for general ML. Gaming-origins make it versatile for creative workloads like rendering.

Use Cases

LLM Training
RTX 3080 Ti

The RTX 3080 Ti's 29.8 TFLOPS FP16 vastly outpaces the A30's 10.3 TFLOPS, accelerating training epochs. Its pricing from $0.08 per hour adds cost efficiency for iterative experiments.

LLM Inference
Either

RTX 3080 Ti offers higher 29.8 TFLOPS for low-latency serving, while A30's 24 GB VRAM handles larger models. Choice depends on model size versus speed needs.

Fine-tuning
RTX 3080 Ti

29.8 TFLOPS FP32 on RTX 3080 Ti speeds up fine-tuning iterations compared to A30's 10.3 TFLOPS. Affordable $0.14 per hour average suits frequent runs.

Stable Diffusion
RTX 3080 Ti

RTX 3080 Ti's higher compute at 29.8 TFLOPS generates images faster than A30's 10.3 TFLOPS. Consumer optimizations enhance diffusion model performance.

Scientific Computing
A30

A30's 933 GB/s bandwidth and 24 GB VRAM manage large datasets better than RTX 3080 Ti's 760 GB/s and 10-12 GB. Lower 165W TDP aids sustained simulations.

Frequently Asked Questions

Which GPU has more VRAM: A30 or RTX 3080 Ti?

The A30 provides 24 GB HBM2 VRAM, surpassing the RTX 3080 Ti's 10-12 GB GDDR6X. This makes the A30 suitable for models requiring over 12 GB memory. Bandwidth also favors A30 at 933 GB/s over 760 GB/s.

What is the FP32 performance difference between A30 and RTX 3080 Ti?

RTX 3080 Ti delivers 29.8 TFLOPS FP32, almost three times the A30's 10.3 TFLOPS. This gap impacts training speed significantly. FP16 matches this ratio at 29.8 versus 10.3 TFLOPS.

Which has lower power consumption?

The A30 uses 165W TDP, half the RTX 3080 Ti's 320W. This enables higher density in clusters. Efficiency suits power-limited environments.

Does the A30 support NVLink?

Yes, the A30 includes NVLink for multi-GPU scaling, unlike the RTX 3080 Ti. This boosts large-scale training. Both use PCIe form factor otherwise.

What are the cloud prices for these GPUs?

RTX 3080 Ti offers start at $0.08 per hour, averaging $0.14 per hour across four providers. No live offers exist for A30 currently. Pricing drives RTX 3080 Ti adoption.

Are both GPUs from the same architecture?

Both utilize Ampere architecture, A30 from 2021 and RTX 3080 Ti from 2021. Shared tensor cores aid ML compatibility. Differences lie in memory and TDP.

Which is cheaper to rent, the A30 or the RTX 3080?

Cloud rental prices for both the A30 and RTX 3080 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 A30 have compared to the RTX 3080?

The A30 has 24 GB of HBM2 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find A30 and RTX 3080 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 A30 and the RTX 3080?

The A30 uses the Ampere architecture (2021) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 2.9x the FP16 throughput and 1.2x the memory bandwidth of the A30.