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
Memory capacity defines the core disparity: the GB300's 288 GB HBM3e VRAM supports models exceeding hundreds of billions of parameters, while the RTX 3060's 12 GB GDDR6 limits users to smaller datasets or reduced batch sizes. This gap manifests in training, where the GB300 handles large-scale distributed jobs seamlessly.
Bandwidth amplifies this advantage, as 12000 GB/s on the GB300 permits batch sizes orders of magnitude larger than the RTX 3060's 360 GB/s, reducing data loading bottlenecks in inference pipelines. For FP16 workloads like model training, the GB300 delivers 2250 TFLOPS versus 12.7 TFLOPS, yielding potential 177x speedups; FP32 at 90 TFLOPS on GB300 versus 12.7 TFLOPS suits precision-heavy simulations better than consumer alternatives.
The FP16 to FP32 delta highlights specialization: GB300's tensor cores boost lower-precision AI tasks dramatically, ideal for inference, while equal 12.7 TFLOPS ratings on RTX 3060 balance gaming and general compute without such extremes.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | 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 |
When to Choose the GB300
Enterprises tackling exascale AI training select the GB300: its 288 GB VRAM and 2250 TFLOPS FP16 performance enable full-model loading for LLMs over 1 trillion parameters without sharding. NVLink and NVSwitch interconnects facilitate multi-GPU clusters scaling to thousands of units, unmatched by PCIe-bound alternatives.
When to Choose the RTX 3060
Budget-conscious developers opt for the RTX 3060 in prototyping: cloud pricing starts at $0.03 per hour across 12 offers, making it viable for small-scale inference or fine-tuning on 12 GB models. Its 170W TDP integrates easily into edge or personal setups without datacenter infrastructure.
Use Cases
GB300's 288 GB VRAM and 2250 TFLOPS FP16 handle massive LLMs without partitioning. RTX 3060's 12 GB limits it to toy models.
12000 GB/s bandwidth on GB300 supports high-throughput serving with large batches. RTX 3060 suits only sub-7B models at 360 GB/s.
GB300's 4500 TFLOPS FP8 accelerates efficient fine-tuning on full datasets. RTX 3060's 12.7 TFLOPS restricts to small adapters.
RTX 3060 generates images viably on 12 GB VRAM at low $0.03 per hour cost. GB300 overkill for consumer diffusion tasks.
GB300 excels in FP32 at 90 TFLOPS for simulations; RTX 3060 suffices for lighter HPC at 12.7 TFLOPS and lower power.
Frequently Asked Questions
What is the VRAM difference between GB300 and RTX 3060?▾
GB300 provides 288 GB HBM3e, enabling large models. RTX 3060 offers 12 GB GDDR6, suitable for smaller workloads only.
Which has higher FP16 performance?▾
GB300 achieves 2250 TFLOPS in FP16, vastly outperforming RTX 3060's 12.7 TFLOPS. This translates to faster AI training.
Is RTX 3060 cheaper in the cloud?▾
RTX 3060 starts at $0.03 per hour across 12 offers, averaging $0.07 per hour. GB300 has no live pricing yet.
Can RTX 3060 handle LLM inference?▾
RTX 3060 manages small LLMs up to 7B parameters on 12 GB VRAM. Larger models require GB300's 288 GB.
What architectures do they use?▾
GB300 uses Blackwell Ultra from 2025; RTX 3060 employs Ampere from 2021. This generational gap drives performance leads.
Which is better for multi-GPU setups?▾
GB300 supports NVSwitch and NVLink for clusters. RTX 3060 lacks interconnects, limiting it to single-GPU use.
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.