Specifications Compared
| Spec | GAUDI2 | RTX-3060 |
|---|---|---|
| TDP | 600W | 170W |
| VRAM | 96 GB | 12 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Gaudi | Ampere |
| Form Factors | OAM | PCIe |
| Interconnect | Ethernet | |
| FP16 Performance | 420 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 420 TFLOPS | 12.7 TFLOPS |
| Memory Bandwidth | 2,460 GB/s | 360 GB/s |
Performance Analysis
The Gaudi 2's 420 TFLOPS FP16 and FP32 performance overshadows the RTX 3060's 12.7 TFLOPS by a factor of 33, enabling significantly faster model training and inference in compute-intensive scenarios. Equal FP16 and FP32 rates on Gaudi 2 support mixed-precision training without bottlenecks in FP32 accumulation phases, common in large language model optimization. The RTX 3060 matches FP16 and FP32 at lower throughput, suitable for inference where tensor core accelerations apply but limited by scale.
Memory bandwidth defines practical limits: Gaudi 2's 2460 GB/s sustains large batch sizes in training, minimizing data loading stalls for models exceeding 12 GB VRAM. RTX 3060's 360 GB/s constrains batches to smaller sizes, ideal for prototyping but inefficient for high-throughput production. Power draw further differentiates them: Gaudi 2 at 600W suits dense server racks via OAM form factor and Ethernet interconnect, while RTX 3060's 170W PCIe design favors low-density, cost-sensitive setups.
These specs translate to real-world gaps in AI pipelines. Gaudi 2 accelerates convergence in distributed training, whereas RTX 3060 handles single-node fine-tuning effectively within budget limits.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Gaudi 2
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 8×Intel Gaudi 2 96GB VRAM | 96GB | 64 vCPU 2048GB RAM 96174GB Storage | Netherlands | $0.91/GPU/hr $7.29/hr total (8×) | Available | ||
 Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) |
RTX 3060
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 336GB RAM 1431GB Storage | Texas | $0.23/GPU/hr $0.90/hr total (4×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
When to Choose the Gaudi 2
Opt for Gaudi 2 in large-scale AI training requiring over 12 GB VRAM, such as full fine-tuning of billion-parameter LLMs. Its 96 GB HBM2e and 2460 GB/s bandwidth support massive batches, reducing epochs from days to hours compared to RTX 3060 constraints. Enterprise users benefit from Ethernet scaling across nodes at $1.08 per hour average.
High-throughput inference for production services favors Gaudi 2, where 420 TFLOPS delivers sub-second latencies on large models.
When to Choose the RTX 3060
Choose RTX 3060 for budget-conscious prototyping and small model inference, leveraging 12 GB GDDR6 at $0.07 per hour average across twelve providers. It excels in Stable Diffusion generation or fine-tuning sub-7B parameter models without VRAM overflow.
Entry-level scientific computing or gaming-adjacent tasks suit its 170W efficiency and PCIe accessibility, avoiding Gaudi 2's 600W demands.
Use Cases
Gaudi 2's 96 GB HBM2e VRAM and 420 TFLOPS FP16 handle billion-parameter models with large batches. RTX 3060's 12 GB limits scale.
Small models fit RTX 3060's 12 GB at low cost; large deployments need Gaudi 2's 2460 GB/s bandwidth for high concurrency.
RTX 3060 suffices for sub-7B models at $0.07 per hour average. Gaudi 2 overkill unless VRAM exceeds 12 GB.
RTX 3060's 12.7 TFLOPS and 360 GB/s support image generation efficiently at $0.03 per hour start. Gaudi 2 unnecessary for consumer pipelines.
Light simulations run on RTX 3060's 170W PCIe; HPC-scale needs Gaudi 2's 420 TFLOPS and Ethernet interconnect.
Frequently Asked Questions
How much more powerful is Gaudi 2 than RTX 3060?▾
Gaudi 2 delivers 420 TFLOPS FP16 and FP32, 33 times the RTX 3060's 12.7 TFLOPS. This gap accelerates training by orders of magnitude for large models.
What is the VRAM difference between Gaudi 2 and RTX 3060?▾
Gaudi 2 offers 96 GB HBM2e versus RTX 3060's 12 GB GDDR6. The eightfold advantage enables massive datasets on Gaudi 2.
Which has higher cloud rental pricing?▾
Gaudi 2 averages $1.08 per hour from $0.91 across two offers. RTX 3060 averages $0.07 per hour from $0.03 over twelve providers.
Does Gaudi 2 or RTX 3060 use less power?▾
RTX 3060 consumes 170W TDP compared to Gaudi 2's 600W. Lower power suits edge or desktop deployments.
Can RTX 3060 handle large model training?▾
RTX 3060's 12 GB VRAM limits it to small models under 7B parameters. Gaudi 2's 96 GB supports full-scale LLM training.
What interconnect does Gaudi 2 support?▾
Gaudi 2 uses Ethernet for multi-node scaling. RTX 3060 lacks specified interconnect, relying on single-GPU PCIe operation.
Which is cheaper to rent, the Gaudi 2 or the RTX 3060?▾
Cloud rental prices for both the Gaudi 2 and RTX 3060 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 Gaudi 2 have compared to the RTX 3060?▾
The Gaudi 2 has 96 GB of HBM2e memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find Gaudi 2 and RTX 3060 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 Gaudi 2 and the RTX 3060?▾
The Gaudi 2 uses the Gaudi architecture (2022) while the RTX 3060 uses Ampere (2021). The Gaudi 2 delivers 33.1x the FP16 throughput and 6.8x the memory bandwidth of the RTX 3060.