Specifications Compared
| Spec | GB300 | RTX-3060 |
|---|---|---|
| TDP | 1400W | 170W |
| VRAM | 288 GB | 12 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ampere |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 90 TFLOPS | 12.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 360 GB/s |
Performance Analysis
The GB300 SXM6 vastly outpaces the RTX 3060 Ti in compute: its 2250 TFLOPS FP16 performance accelerates deep learning training by orders of magnitude compared to 12.7 TFLOPS, enabling faster convergence on large datasets. The FP16 to FP32 ratio differs sharply at 2250 TFLOPS to 90 TFLOPS for the GB300 SXM6 versus equal 12.7 TFLOPS on the RTX 3060 Ti, signaling optimization for mixed-precision AI training and inference over traditional FP32 simulations. FP8 at 4500 TFLOPS further boosts inference throughput for quantized models. Memory specs define real-world limits: 288 GB HBM3e supports enormous batch sizes in LLM training without swapping, while 12 GB GDDR6 on the RTX 3060 Ti restricts to smaller models. The 12000 GB/s bandwidth prevents bottlenecks in data-heavy tasks, unlike 360 GB/s which caps throughput and increases latency for large batches.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 84GB RAM 358GB Storage | Texas | $0.23/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | 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 GB300 SXM6
Opt for the GB300 SXM6 in large-scale AI deployments requiring over 288 GB VRAM per GPU, such as training trillion-parameter LLMs or multi-GPU clusters via NVLink. Its 2250 TFLOPS FP16 and 12000 GB/s bandwidth excel in production inference and scientific simulations demanding peak throughput. Datacenter environments with SXM form factor and 1400 W power provisioning favor this GPU for sustained high-utilization workloads.
When to Choose the RTX 3060 Ti
The RTX 3060 Ti fits budget-conscious users prototyping small AI models or running Stable Diffusion, with cloud pricing from $0.03 per hour. Its 12 GB VRAM and 170 W TDP enable efficient single-GPU setups in PCIe systems without cluster complexity. Entry-level fine-tuning or gaming benefits from accessible pricing averaging $0.06 per hour across live offers.
Use Cases
The GB300 SXM6's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 handle massive models and batches infeasible on the RTX 3060 Ti's 12 GB GDDR6.
FP8 performance at 4500 TFLOPS and 12000 GB/s bandwidth enable high-throughput serving; the RTX 3060 Ti's 12.7 TFLOPS FP16 falls short for scale.
RTX 3060 Ti's 12 GB VRAM suffices for parameter-efficient fine-tuning of mid-size models at $0.03 per hour; GB300 SXM6 overkill for non-production tasks.
RTX 3060 Ti's 360 GB/s bandwidth and 12.7 TFLOPS FP16 generate images efficiently on consumer workloads; GB300 SXM6 unnecessary for single-user generation.
GB300 SXM6's 90 TFLOPS FP32 and NVLink clustering accelerate simulations; RTX 3060 Ti's equal 12.7 TFLOPS FP16/FP32 limits complex HPC runs.
Frequently Asked Questions
What is the VRAM difference between GB300 SXM6 and RTX 3060 Ti?▾
The GB300 SXM6 provides 288 GB HBM3e VRAM, dwarfing the RTX 3060 Ti's 12 GB GDDR6. This enables larger models on the GB300 SXM6 without offloading. Datacenter tasks benefit most from the disparity.
How do FP16 performances compare?▾
GB300 SXM6 achieves 2250 TFLOPS FP16, over 177 times the RTX 3060 Ti's 12.7 TFLOPS. Training speeds scale accordingly for AI workloads. Inference also gains from the gap.
What are the power requirements?▾
GB300 SXM6 demands 1400 W TDP in SXM form factor, versus RTX 3060 Ti's 170 W in PCIe. Enterprise cooling suits the former; desktops handle the latter. Efficiency per watt favors RTX 3060 Ti for light loads.
Is there cloud pricing for these GPUs?▾
No live offers exist for GB300 SXM6 currently. RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 per hour over 2 offers. Budget users prefer the latter.
What architectures do they use?▾
GB300 SXM6 employs Blackwell Ultra from 2025 with FP8 support at 4500 TFLOPS. RTX 3060 Ti uses Ampere from 2021 without FP8. The newer design targets AI dominance.
How does memory bandwidth impact usage?▾
GB300 SXM6's 12000 GB/s supports huge batches without stalls, unlike RTX 3060 Ti's 360 GB/s. Large-model training favors the former. Smaller tasks see minimal difference.
Which is cheaper to rent, the GB300 or the RTX 3060?▾
Cloud rental prices for both the GB300 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 GB300 have compared to the RTX 3060?▾
The GB300 has 288 GB of HBM3e memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find GB300 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 GB300 and the RTX 3060?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 3060 uses Ampere (2021). The GB300 delivers 177.2x the FP16 throughput and 33.3x the memory bandwidth of the RTX 3060.