A30 vs RTX 2080 Ti

AmperevsTuringUpdated 35 days ago

The A30 emerges as the superior choice for most AI and ML use cases due to its 24 GB HBM2 VRAM and 933 GB/s bandwidth, enabling larger models and batches critical for training and inference. While compute matches closely at 10.3 versus 10.1 TFLOPS, the A30's lower 165W TDP enhances efficiency over the RTX 2080 Ti's 215W.

RTX 2080 Ti from $0.13/hr

Specifications Compared

SpecA30RTX-2080
TDP165W215W
VRAM24 GB8-11 GB
CUDA Cores3,5842,944
Memory TypeHBM2GDDR6
ArchitectureAmpereTuring
Form FactorsPCIePCIe
InterconnectNVLinkNVLink
Tensor Cores224368
FP16 Performance10.3 TFLOPS10.1 TFLOPS
FP32 Performance10.3 TFLOPS10.1 TFLOPS
FP64 Performance5.2 TFLOPS
INT8 Performance165 TOPS
Memory Bandwidth933 GB/s616 GB/s

Performance Analysis

Compute performance reveals minimal gap: the A30 achieves 10.3 TFLOPS in both FP16 and FP32, closely matching the RTX 2080 Ti's 10.1 TFLOPS. This parity suggests similar throughput for training and inference on models not constrained by memory. However, Ampere architecture in the A30 delivers efficiency gains over Turing in real-world mixed-precision workloads.

Memory specifications drive practical differences: 24 GB HBM2 on the A30 versus 8-11 GB GDDR6 on the RTX 2080 Ti enables larger batch sizes in training, reducing overhead from data loading. The A30's 933 GB/s bandwidth, 51 percent higher than 616 GB/s, accelerates data-intensive operations like LLM inference where high throughput prevents bottlenecks.

Lower TDP of 165W on the A30 versus 215W on the RTX 2080 Ti implies better power efficiency per TFLOP, beneficial for sustained cloud runs. Overall, the A30 excels in memory-bound scenarios, while the RTX 2080 Ti suffices for compute-limited tasks.

Live Cloud Pricing

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

RTX 2080 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA GeForce RTX 2080 Ti
11GB VRAM
$0.13/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the A30

The A30 suits memory-intensive AI workloads such as large-scale inference or fine-tuning models exceeding 10 GB VRAM. Its 24 GB HBM2 and 933 GB/s bandwidth support bigger batch sizes without out-of-memory errors, ideal for enterprise data centers.

Users prioritizing efficiency choose the A30 for its 165W TDP, which lowers operational costs in prolonged tasks despite no current cloud offers.

When to Choose the RTX 2080 Ti

The RTX 2080 Ti fits budget-conscious users needing immediate cloud access at $0.06 per hour from offers averaging $0.11 per hour across 6 providers. Its 10.1 TFLOPS FP16 and FP32 performance handles lighter ML tasks effectively.

Gaming-adjacent or prototyping workloads favor the RTX 2080 Ti, where 8-11 GB GDDR6 suffices and NVLink interconnect aids multi-GPU setups.

Use Cases

LLM Training
A30

The A30's 24 GB VRAM supports larger models and batch sizes essential for LLM training, unlike the RTX 2080 Ti's 8-11 GB limit. Higher 933 GB/s bandwidth reduces data stalls.

LLM Inference
A30

A30 handles high-throughput inference with 24 GB HBM2 for bigger batches. Its bandwidth advantage of 933 GB/s over 616 GB/s minimizes latency.

Fine-tuning
A30

Fine-tuning benefits from A30's memory capacity for parameter-heavy models. 10.3 TFLOPS matches needs without RTX 2080 Ti's VRAM constraints.

Stable Diffusion
Either

Stable Diffusion runs adequately on both due to similar 10+ TFLOPS FP16/FP32. RTX 2080 Ti's pricing favors it for casual use, A30 for high-res batches.

Scientific Computing
RTX 2080 Ti

RTX 2080 Ti's availability at $0.06/hr suits compute-focused simulations within 8-11 GB VRAM. Similar TFLOPS to A30 at lower cost.

Frequently Asked Questions

What is the VRAM difference between A30 and RTX 2080 Ti?

The A30 has 24 GB HBM2 VRAM, more than double the RTX 2080 Ti's 8-11 GB GDDR6. This allows the A30 to manage larger datasets and models without swapping.

Which GPU has higher memory bandwidth?

A30 delivers 933 GB/s, 51 percent above the RTX 2080 Ti's 616 GB/s. Higher bandwidth speeds up data transfers in AI workloads.

How do FP32 performances compare?

A30 provides 10.3 TFLOPS FP32, slightly ahead of RTX 2080 Ti's 10.1 TFLOPS. The difference is marginal for most compute tasks.

What are the TDPs of these GPUs?

A30 consumes 165W TDP, lower than RTX 2080 Ti's 215W. This makes A30 more power-efficient for cloud deployments.

Is there cloud pricing for RTX 2080 Ti?

RTX 2080 Ti offers start at $0.06 per hour, averaging $0.11 per hour across 6 providers. A30 has no live offers currently.

Do both support NVLink?

Both A30 and RTX 2080 Ti feature NVLink interconnect for multi-GPU scaling. PCIe form factor ensures compatibility in cloud instances.

Which is cheaper to rent, the A30 or the RTX 2080?

Cloud rental prices for both the A30 and RTX 2080 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 2080?

The A30 has 24 GB of HBM2 memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.

Can I find A30 and RTX 2080 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 2080?

The A30 uses the Ampere architecture (2021) while the RTX 2080 uses Turing (2018). The A30 delivers 1.0x the FP16 throughput and 1.5x the memory bandwidth of the RTX 2080.

A30 vs RTX 2080 Ti: 24GB HBM2 vs 11GB GDDR6 | GPUPerHour