RTX 3060 Ti vs Tesla V100 32GB

AmperevsVoltaUpdated 35 days ago

RTX 3060 Ti emerges as the winner for most common cloud use cases like fine-tuning and inference: its 12.7 TFLOPS and 12 GB VRAM meet typical needs at $0.06 per hour average, versus V100 32 GB's $1.01 per hour for superior but often unnecessary 125 TFLOPS FP16.

RTX 3060 Ti from $0.23/hrTesla V100 32GB from $0.19/hr

Specifications Compared

SpecRTX-3060V100
TDP170W300W
VRAM12 GB16-32 GB
CUDA Cores3,5845,120
Memory TypeGDDR6HBM2
ArchitectureAmpereVolta
Form FactorsPCIeSXM2, PCIe
InterconnectNVLink, PCIe 3.0
Tensor Cores112640
FP16 Performance12.7 TFLOPS125 TFLOPS
FP32 Performance12.7 TFLOPS15.7 TFLOPS
Memory Bandwidth360 GB/s900 GB/s

Performance Analysis

FP16 performance reveals a stark contrast: V100 32 GB achieves 125 TFLOPS, nearly ten times the RTX 3060 Ti's 12.7 TFLOPS, accelerating mixed-precision training where tensor cores dominate. FP32 rates are closer at 15.7 TFLOPS for V100 versus 12.7 TFLOPS for RTX 3060 Ti, favoring V100 slightly for inference and general compute.

Memory bandwidth of 900 GB/s on V100 32 GB doubles the RTX 3060 Ti's 360 GB/s, enabling larger batch sizes in training and reducing data transfer bottlenecks for deep learning models. The 32 GB HBM2 capacity versus 12 GB GDDR6 supports bigger models without out-of-memory errors. Higher 300 W TDP on V100 requires datacenter cooling, while RTX 3060 Ti's 170 W suits lighter deployments; Ampere's newer architecture benefits from recent software stacks.

Live Cloud Pricing

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

RTX 3060 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA GeForce RTX 3060
12GB VRAM
$0.23/GPU/hr
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 3060
12GB VRAM
$0.23/GPU/hr
$0.90/hr total (4×)
Available
Vast.ai
Vast.ai
2×NVIDIA GeForce RTX 3060
12GB VRAM
$0.23/GPU/hr
$0.45/hr total (2×)
Available
Vast.ai
Vast.ai
2×NVIDIA GeForce RTX 3060
12GB VRAM
$0.23/GPU/hr
$0.45/hr total (2×)
Available

Tesla V100 32GB

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA Tesla V100 16GB
16GB VRAM
$0.19/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 16GB
16GB VRAM
$0.19/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 32GB
32GB VRAM
$0.29/GPU/hr
Available
TensorDock
TensorDock
NVIDIA Tesla V100 32GB
32GB VRAM
$0.29/GPU/hr
Available
Lambda Labs
Lambda Labs
8×NVIDIA Tesla V100 16GB
16GB VRAM
$0.79/GPU/hr
$6.32/hr total (8×)
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 3060 Ti

RTX 3060 Ti suits budget-conscious users: its $0.03 to $0.06 per hour pricing delivers 12.7 TFLOPS FP32 for inference, fine-tuning small models, and Stable Diffusion with 12 GB VRAM. The 170 W TDP fits standard cloud instances without high power demands. Choose it for prototyping or low-volume tasks where cost trumps peak speed.

When to Choose the Tesla V100 32GB

V100 32 GB outperforms in demanding workloads: 125 TFLOPS FP16 accelerates LLM training, and 900 GB/s bandwidth with 32 GB HBM2 handles large batches effectively. NVLink interconnect scales multi-GPU setups unavailable on RTX 3060 Ti. Select it for production-scale AI training despite $0.29 to $1.01 per hour costs.

Use Cases

LLM Training
Tesla V100 32GB

V100 32 GB's 125 TFLOPS FP16 and 32 GB HBM2 with 900 GB/s bandwidth enable faster training of large language models than RTX 3060 Ti's 12.7 TFLOPS and 12 GB VRAM.

LLM Inference
RTX 3060 Ti

RTX 3060 Ti's 12.7 TFLOPS FP32 suffices for most inference at $0.06 per hour average, making V100 32 GB's higher specs overprovisioned.

Fine-tuning
Either

RTX 3060 Ti handles small-scale fine-tuning cost-effectively with 12 GB VRAM; V100 32 GB accelerates larger efforts via 125 TFLOPS FP16.

Stable Diffusion
RTX 3060 Ti

RTX 3060 Ti's 12 GB GDDR6 and 12.7 TFLOPS support image generation efficiently at low $0.03 per hour cost, adequate for consumer workloads.

Scientific Computing
Tesla V100 32GB

V100 32 GB's 15.7 TFLOPS FP32, 900 GB/s bandwidth, and NVLink excel in simulations requiring high throughput and multi-GPU scaling.

Frequently Asked Questions

Is RTX 3060 Ti faster than V100 32 GB?

No, V100 32 GB leads with 125 TFLOPS FP16 versus 12.7 TFLOPS and 15.7 TFLOPS FP32 versus 12.7 TFLOPS. RTX 3060 Ti offers better value at $0.06 per hour average.

RTX 3060 Ti vs V100 for ML training?

V100 32 GB excels in training due to 125 TFLOPS FP16, 32 GB HBM2, and 900 GB/s bandwidth for large batches. RTX 3060 Ti suits lighter training at lower cost.

What is the VRAM difference between RTX 3060 Ti and V100?

RTX 3060 Ti has 12 GB GDDR6; V100 32 GB provides 32 GB HBM2. This allows V100 to load larger models without issues.

Cloud pricing for RTX 3060 Ti vs V100 32 GB?

RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 across two offers. V100 32 GB begins at $0.29 per hour, averaging $1.01 across 46 offers.

Power consumption RTX 3060 Ti vs V100?

RTX 3060 Ti draws 170 W TDP in PCIe form. V100 32 GB requires 300 W in SXM2 or PCIe with NVLink.

Which has higher memory bandwidth?

V100 32 GB achieves 900 GB/s with HBM2. RTX 3060 Ti reaches 360 GB/s with GDDR6.

Which is cheaper to rent, the RTX 3060 or the V100?

Cloud rental prices for both the RTX 3060 and V100 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 3060 have compared to the V100?

The RTX 3060 has 12 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.

Can I find RTX 3060 and V100 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 3060 and the V100?

The RTX 3060 uses the Ampere architecture (2021) while the V100 uses Volta (2017). The V100 delivers 9.8x the FP16 throughput and 2.5x the memory bandwidth of the RTX 3060.