A30 vs RTX 5080

AmperevsBlackwellUpdated 35 days ago

The RTX 5080 emerges as the superior choice for most common use cases like AI training and inference. Its 56.3 TFLOPS compute outperforms the A30's 10.3 TFLOPS by 5.5x, paired with availability from $0.25 per hour, outweighing the A30's VRAM advantage in practical cloud deployments.

RTX 5080 from $0.59/hr

Specifications Compared

SpecA30RTX-5080
TDP165W360W
VRAM24 GB16 GB
CUDA Cores3,58410,752
Memory TypeHBM2GDDR7
ArchitectureAmpereBlackwell
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores224336
FP16 Performance10.3 TFLOPS56.3 TFLOPS
FP32 Performance10.3 TFLOPS56.3 TFLOPS
FP64 Performance5.2 TFLOPS
INT8 Performance165 TOPS900 TOPS
Memory Bandwidth933 GB/s960 GB/s

Performance Analysis

Compute performance defines the primary distinction: the RTX 5080's 56.3 TFLOPS in FP16 and FP32 surpasses the A30's 10.3 TFLOPS by a factor of 5.5x, accelerating AI training epochs and inference throughput significantly. In training scenarios, this enables handling larger models or datasets faster; for inference, it supports higher queries per second in real-time applications.

Memory configurations impact workload feasibility: the A30's 24 GB HBM2 allows larger batch sizes for memory-intensive tasks compared to the RTX 5080's 16 GB GDDR7. However, the RTX 5080's 960 GB/s bandwidth edges out the A30's 933 GB/s, reducing bottlenecks in data-heavy operations like matrix multiplications.

Power efficiency favors the A30 at 165W TDP versus 360W for the RTX 5080, suiting dense server deployments. The Blackwell architecture in the RTX 5080 introduces optimizations absent in Ampere, enhancing tensor core efficiency for modern AI frameworks.

Live Cloud Pricing

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

RTX 5080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 5080
16GB VRAM
$0.59/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the A30

The A30 suits scenarios demanding high VRAM capacity: its 24 GB HBM2 handles large-scale visualization or scientific simulations better than the RTX 5080's 16 GB GDDR7. Low TDP of 165W makes it ideal for power-constrained environments or multi-GPU setups via NVLink interconnect.

Legacy enterprise applications optimized for Ampere architecture benefit from the A30's stability, especially where current cloud availability is not a factor.

When to Choose the RTX 5080

The RTX 5080 excels in performance-critical tasks: 56.3 TFLOPS in FP16 and FP32 deliver over 5x speedup versus the A30's 10.3 TFLOPS for AI training and inference. Cloud pricing from $0.25 per hour provides cost-effective access across four live offers.

Newer Blackwell architecture supports advanced features for gaming, content creation, and emerging AI workloads unavailable on the 2021 Ampere-based A30.

Use Cases

LLM Training
RTX 5080

The RTX 5080's 56.3 TFLOPS in FP16 enables 5.5x faster training than the A30's 10.3 TFLOPS. Higher bandwidth of 960 GB/s supports efficient large-model handling.

LLM Inference
RTX 5080

RTX 5080 delivers 56.3 TFLOPS FP16 for superior throughput versus A30's 10.3 TFLOPS. Cloud pricing from $0.25 per hour makes it scalable for production.

Fine-tuning
RTX 5080

Blackwell's 56.3 TFLOPS accelerates fine-tuning iterations over Ampere's 10.3 TFLOPS. 16 GB GDDR7 suffices for most models with better efficiency.

Stable Diffusion
RTX 5080

RTX 5080's 56.3 TFLOPS FP32 boosts image generation speed 5.5x beyond A30. Newer architecture optimizes diffusion model pipelines.

Scientific Computing
A30

A30's 24 GB HBM2 and NVLink support memory-intensive simulations better than RTX 5080's 16 GB. Lower 165W TDP aids multi-GPU clusters.

Frequently Asked Questions

Which has more VRAM, A30 or RTX 5080?

The A30 provides 24 GB HBM2 VRAM, exceeding the RTX 5080's 16 GB GDDR7. This benefits memory-bound tasks like large batch processing. Bandwidth is close, with RTX 5080 at 960 GB/s versus A30's 933 GB/s.

Is RTX 5080 faster than A30 for AI?

Yes, the RTX 5080 achieves 56.3 TFLOPS in FP16 and FP32, 5.5x higher than A30's 10.3 TFLOPS. This translates to faster training and inference. Blackwell architecture enhances tensor operations.

What is the power consumption difference?

The A30 uses 165W TDP, lower than the RTX 5080's 360W. This makes A30 preferable for power-limited setups. RTX 5080 justifies higher draw with superior performance.

RTX 5080 cloud pricing vs A30?

RTX 5080 starts at $0.25 per hour, averaging $0.38 across four offers. A30 has no live offers currently. This availability favors RTX 5080 for rentals.

Does A30 support NVLink?

Yes, the A30 includes NVLink for multi-GPU scaling, unlike the RTX 5080. This aids distributed computing. Both use PCIe form factor.

Which architecture is newer?

RTX 5080 uses Blackwell from 2025, succeeding A30's Ampere from 2021. Newer design yields 56.3 TFLOPS versus 10.3 TFLOPS. This drives performance gains.

Which is cheaper to rent, the A30 or the RTX 5080?

Cloud rental prices for both the A30 and RTX 5080 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 5080?

The A30 has 24 GB of HBM2 memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find A30 and RTX 5080 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 5080?

The A30 uses the Ampere architecture (2021) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 5.5x the FP16 throughput and 1.0x the memory bandwidth of the A30.