A30 vs RTX 4060

AmperevsAda LovelaceUpdated 36 days ago

For prevalent cloud AI inference and fine-tuning of models under 8 GB, the RTX 4060 emerges as the winner. Its 15.1 TFLOPS compute, $0.08 per hour pricing, and 115W efficiency surpass A30's memory edge in most accessible scenarios.

Specifications Compared

SpecA30RTX-4060
TDP165W115W
VRAM24 GB8 GB
CUDA Cores3,5843,072
Memory TypeHBM2GDDR6
ArchitectureAmpereAda Lovelace
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores22496
FP16 Performance10.3 TFLOPS15.1 TFLOPS
FP32 Performance10.3 TFLOPS15.1 TFLOPS
FP64 Performance5.2 TFLOPS
INT8 Performance165 TOPS242 TOPS
Memory Bandwidth933 GB/s272 GB/s

Performance Analysis

Compute performance favors the RTX 4060: its 15.1 TFLOPS in FP16 and FP32 exceeds the A30's 10.3 TFLOPS, accelerating training epochs and inference latency in compute-limited scenarios. Ada Lovelace architecture optimizes mixed-precision workloads more effectively than Ampere, yielding real-world speedups in frameworks like TensorFlow or PyTorch.

Memory specifications differentiate usage profoundly. The A30's 933 GB/s bandwidth and 24 GB HBM2 capacity support larger batch sizes in training, reducing overhead from data transfers compared to the RTX 4060's 272 GB/s and 8 GB GDDR6. This enables handling models over 8 GB without model parallelism.

Power efficiency tilts toward RTX 4060 at 115W TDP versus A30's 165W, lowering operational costs in dense cloud deployments. However, A30's NVLink interconnect facilitates multi-GPU scaling absent on RTX 4060.

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When to Choose the A30

The A30 stands out for memory-intensive workloads. Its 24 GB HBM2 VRAM accommodates large language models during training or inference where 8 GB limits batch sizes on RTX 4060. The 933 GB/s bandwidth further enables high-throughput data processing.

NVLink support allows seamless multi-GPU configurations for scaled scientific computing or fine-tuning, unavailable on RTX 4060.

When to Choose the RTX 4060

The RTX 4060 fits cost-sensitive, lightweight AI tasks. Cloud pricing from $0.08 per hour and 15.1 TFLOPS performance outperform A30's unavailable offers and 10.3 TFLOPS for small-model inference or Stable Diffusion.

Lower 115W TDP suits edge or budget deployments, while Ada architecture provides superior ray tracing and DLSS for hybrid gaming-AI use.

Use Cases

LLM Training
A30

A30's 24 GB VRAM and 933 GB/s bandwidth handle large batches essential for training without splitting models across GPUs.

LLM Inference
RTX 4060

RTX 4060's 15.1 TFLOPS FP16 outperforms A30's 10.3 TFLOPS for low-latency serving of models fitting in 8 GB.

Fine-tuning
A30

24 GB capacity supports parameter-efficient fine-tuning of large models; NVLink aids multi-GPU setups.

Stable Diffusion
RTX 4060

Ada Lovelace excels in generative tasks with higher TFLOPS and efficient 8 GB for typical image generation pipelines.

Scientific Computing
A30

High 933 GB/s bandwidth accelerates simulations; 24 GB VRAM manages complex datasets.

Frequently Asked Questions

Which GPU has more VRAM: A30 or RTX 4060?

The A30 provides 24 GB HBM2 VRAM. RTX 4060 offers 8 GB GDDR6. This makes A30 better for large models.

What is the performance difference in TFLOPS?

RTX 4060 delivers 15.1 TFLOPS in FP16 and FP32. A30 achieves 10.3 TFLOPS in both. RTX 4060 leads in raw compute.

How does memory bandwidth compare?

A30 has 933 GB/s bandwidth. RTX 4060 provides 272 GB/s. A30 supports larger batches in training.

What are the TDPs and pricing?

RTX 4060 uses 115W TDP with pricing from $0.08 per hour. A30 requires 165W with no live offers.

Does A30 support multi-GPU?

A30 includes NVLink for interconnect. RTX 4060 lacks this feature. A30 scales better across nodes.

Which is newer architecture?

RTX 4060 uses Ada Lovelace from 2023. A30 employs Ampere from 2021. Ada offers efficiency gains.

Which is cheaper to rent, the A30 or the RTX 4060?

Cloud rental prices for both the A30 and RTX 4060 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 4060?

The A30 has 24 GB of HBM2 memory. The RTX 4060 has 8 GB of GDDR6 memory.

Can I find A30 and RTX 4060 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 4060?

The A30 uses the Ampere architecture (2021) while the RTX 4060 uses Ada Lovelace (2023). The RTX 4060 delivers 1.5x the FP16 throughput and 3.4x the memory bandwidth of the A30.