Specifications Compared
| Spec | GB300 | RTX-3080 |
|---|---|---|
| TDP | 1400W | 320W |
| VRAM | 288 GB | 10-12 GB |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell Ultra | Ampere |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 90 TFLOPS | 29.8 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 760 GB/s |
Performance Analysis
Compute prowess defines the GB300's edge: it achieves 2250 TFLOPS in FP16 and 4500 TFLOPS in FP8, towering over the RTX 3080's 29.8 TFLOPS in both FP16 and FP32. This disparity accelerates AI training and inference, where FP16 and FP8 dominate mixed-precision tasks; the GB300's FP32 at 90 TFLOPS still surpasses the RTX 3080, but the FP16 delta proves transformative for deep learning pipelines. Real-world training benefits from the GB300's ability to process models at scales unattainable on the RTX 3080. Memory bandwidth amplifies this: 12000 GB/s on the GB300 supports batch sizes for trillion-parameter LLMs, minimizing iterations, whereas 760 GB/s on the RTX 3080 restricts it to modest loads prone to bottlenecks. The 288 GB VRAM loads full models without partitioning, contrasting the RTX 3080's 10-12 GB limit that demands heavy optimization or multi-GPU setups. Power draw reflects intent: 1400W TDP for GB300 clusters versus 320W for RTX 3080 single-node use.
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
Enterprises tackling large-scale AI training select the GB300: its 288 GB HBM3e VRAM and 2250 TFLOPS FP16 enable handling models exceeding hundreds of billions of parameters without sharding. NVLink and NVSwitch interconnects optimize multi-GPU clusters, paired with 12000 GB/s bandwidth for rapid data movement in datacenter environments.
When to Choose the RTX 3080
Budget users favor the RTX 3080 for accessible cloud tasks: pricing starts at $0.06 per hour, averaging $0.13 per hour across four offers, with 320W TDP suiting standard PCIe hosting. It delivers 29.8 TFLOPS FP16 for gaming, small-scale inference, or Stable Diffusion on 10-12 GB VRAM.
Use Cases
The GB300's 288 GB VRAM and 2250 TFLOPS FP16 support training massive LLMs without model sharding. Its 12000 GB/s bandwidth handles large batch sizes effectively.
With 4500 TFLOPS FP8 and 288 GB HBM3e, the GB300 serves trillion-parameter models at high throughput. NVLink ensures low-latency multi-GPU inference.
The GB300's 90 TFLOPS FP32 and vast memory accommodate full fine-tuning datasets. Superior bandwidth reduces epochs compared to the RTX 3080's limits.
The RTX 3080's 29.8 TFLOPS FP16 suffices for image generation on 10-12 GB VRAM. Low $0.06 per hour pricing makes it ideal for hobbyist or small-scale use.
GB300's 90 TFLOPS FP32 and 288 GB VRAM excel in simulations requiring high precision and large grids. Bandwidth of 12000 GB/s outperforms the RTX 3080's 760 GB/s.
Frequently Asked Questions
What is the VRAM capacity of the GB300 versus RTX 3080?▾
The GB300 features 288 GB of HBM3e VRAM, far exceeding the RTX 3080's 10-12 GB GDDR6X. This allows the GB300 to load enormous AI models entirely, while the RTX 3080 requires optimizations for larger tasks.
How do memory bandwidths compare?▾
GB300 bandwidth reaches 12000 GB/s, compared to 760 GB/s on the RTX 3080. Higher bandwidth on the GB300 supports bigger batch sizes and faster training iterations in deep learning.
What are the FP16 performance differences?▾
The GB300 delivers 2250 TFLOPS FP16, versus 29.8 TFLOPS on the RTX 3080. This gap makes the GB300 vastly superior for AI inference and mixed-precision training.
What is the power consumption of each GPU?▾
GB300 TDP stands at 1400W for datacenter use, while RTX 3080 consumes 320W suitable for consumer setups. Lower TDP on RTX 3080 eases cloud hosting costs.
Is the RTX 3080 available for cloud rental?▾
RTX 3080 offers start at $0.06 per hour, averaging $0.13 per hour across four providers. No live offers exist for the GB300 currently.
Which architecture powers each GPU?▾
GB300 uses Blackwell Ultra from 2025 for AI datacenters; RTX 3080 employs Ampere from 2020 for gaming. Blackwell enables FP8 at 4500 TFLOPS absent in Ampere.
Which is cheaper to rent, the GB300 or the RTX 3080?▾
Cloud rental prices for both the GB300 and RTX 3080 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 3080?▾
The GB300 has 288 GB of HBM3e memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find GB300 and RTX 3080 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 3080?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 3080 uses Ampere (2020). The GB300 delivers 75.5x the FP16 throughput and 15.8x the memory bandwidth of the RTX 3080.