Specifications Compared
| Spec | GB300 | RTX-3070 |
|---|---|---|
| TDP | 1400W | 220W |
| VRAM | 288 GB | 8 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 | 20.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 20.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 448 GB/s |
Performance Analysis
The GB300 SXM6 vastly outpaces the RTX 3070 in compute throughput: its 2250 TFLOPS FP16 performance dwarfs the RTX 3070's 20.3 TFLOPS, enabling faster AI training and inference on large models. The GB300's FP32 at 90 TFLOPS exceeds the RTX 3070's 20.3 TFLOPS, but the FP16 to FP32 ratio of 25:1 on the GB300 optimizes it for mixed-precision training common in deep learning, whereas the RTX 3070's equal 20.3 TFLOPS suits general graphics over specialized AI. Memory specs amplify this: 288 GB HBM3e VRAM on the GB300 supports enormous batch sizes for models exceeding 8 GB GDDR6 on the RTX 3070, preventing out-of-memory errors in LLM training. Bandwidth at 12000 GB/s versus 448 GB/s further accelerates data movement, reducing bottlenecks in high-throughput inference. Power draw reflects capabilities: the GB300's 1400W TDP demands enterprise cooling, contrasting the RTX 3070's efficient 220W for edge deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the GB300 SXM6
Opt for the GB300 SXM6 in large-scale AI deployments: its 288 GB HBM3e VRAM handles massive LLMs that the RTX 3070's 8 GB cannot load. Scenarios include distributed training clusters leveraging NVLink and NVSwitch for 2250 TFLOPS FP16 throughput across nodes.
When to Choose the RTX 3070
Choose the RTX 3070 for budget-conscious prototyping: it starts at $0.04 per hour with 20.3 TFLOPS FP16 suitable for small-scale inference or gaming. Its 220W TDP and PCIe form factor fit personal clouds or light fine-tuning without datacenter infrastructure.
Use Cases
The GB300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 support training billion-parameter LLMs with large batches. The RTX 3070's 8 GB limits it to toy models.
With 12000 GB/s bandwidth and 4500 TFLOPS FP8, the GB300 handles high-concurrency inference on huge models. The RTX 3070 suits only small models at 448 GB/s.
Fine-tuning mid-sized models fits the RTX 3070's 8 GB VRAM at low cost from $0.04 per hour. The GB300 excels for parameter-efficient methods on larger datasets.
The RTX 3070's 20.3 TFLOPS FP32 and 220W TDP generate images efficiently for individuals. The GB300's 1400W overkill suits enterprise-scale diffusion only.
GB300's 90 TFLOPS FP32 and NVLink scaling accelerate simulations beyond RTX 3070's 20.3 TFLOPS single-node limit.
Frequently Asked Questions
What is the VRAM capacity of the GB300 SXM6 versus RTX 3070?▾
The GB300 SXM6 provides 288 GB HBM3e VRAM, far exceeding the RTX 3070's 8 GB GDDR6. This enables the GB300 to process models up to 36 times larger without swapping.
How do FP16 performances compare?▾
The GB300 SXM6 achieves 2250 TFLOPS in FP16, over 110 times the RTX 3070's 20.3 TFLOPS. This gap accelerates AI training significantly on the GB300.
What are the power requirements?▾
The GB300 SXM6 has a 1400W TDP for datacenter use, while the RTX 3070 draws 220W. Lower power makes the RTX 3070 viable for consumer setups.
Is the RTX 3070 cheaper in the cloud?▾
Yes, RTX 3070 cloud pricing starts at $0.04 per hour across four offers, averaging $0.09 per hour. The GB300 has no live offers currently.
Which GPU supports better interconnects?▾
The GB300 SXM6 uses NVSwitch and NVLink for multi-GPU scaling. The RTX 3070 lacks dedicated interconnects, limiting it to single-GPU PCIe operation.
Can RTX 3070 handle LLM inference?▾
The RTX 3070 manages inference for models under 8 GB with 20.3 TFLOPS FP16. Larger LLMs require the GB300's 288 GB VRAM.
Which is cheaper to rent, the GB300 or the RTX 3070?▾
Cloud rental prices for both the GB300 and RTX 3070 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 3070?▾
The GB300 has 288 GB of HBM3e memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find GB300 and RTX 3070 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 3070?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 3070 uses Ampere (2020). The GB300 delivers 110.8x the FP16 throughput and 26.8x the memory bandwidth of the RTX 3070.