Specifications Compared
| Spec | GB300 | RTX-2080 |
|---|---|---|
| TDP | 1400W | 215W |
| VRAM | 288 GB | 8-11 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Turing |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | NVLink |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 616 GB/s |
Performance Analysis
FP16 performance defines deep learning acceleration: GB300 delivers 2250 TFLOPS compared to RTX 2080's 10.1 TFLOPS, enabling training of large language models in hours rather than days on the older card. The FP32 rating shows GB300 at 90 TFLOPS against RTX 2080's matching 10.1 TFLOPS, favoring GB300 for scientific simulations requiring single-precision arithmetic. GB300's FP8 capability of 4500 TFLOPS optimizes inference tasks, where quantized models run far faster than on RTX 2080. Memory bandwidth presents the starkest divide at 12000 GB/s for GB300 versus 616 GB/s for RTX 2080: this permits batch sizes hundreds of times larger during training, minimizing overhead and maximizing throughput on GB300. High TDP of 1400W on GB300 demands robust cooling, unlike RTX 2080's efficient 215W.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the GB300 SXM6
Opt for GB300 in large-scale AI training or inference needing 288 GB HBM3e VRAM, such as trillion-parameter LLMs where RTX 2080's 8-11 GB GDDR6 fails. NVSwitch and NVLink interconnects enable multi-GPU scaling for clusters, ideal for research labs processing 2250 TFLOPS FP16 workloads. SXM form factor suits enterprise racks with 12000 GB/s bandwidth for sustained high-batch training.
When to Choose the RTX 2080
Select RTX 2080 for budget-conscious gaming or lightweight inference at $0.05 per hour average pricing. Its 215W TDP fits edge devices or small servers without data center power infrastructure. PCIe form factor and NVLink support quick deployment for Stable Diffusion or fine-tuning models under 11 GB VRAM.
Use Cases
GB300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 handle massive models, while RTX 2080's 8-11 GB GDDR6 cannot load them.
4500 TFLOPS FP8 on GB300 accelerates quantized serving at scale; RTX 2080's 10.1 TFLOPS FP16 limits throughput.
12000 GB/s bandwidth supports large batch sizes on GB300 for efficient tuning; RTX 2080 suits only small models under 11 GB.
RTX 2080 generates images quickly at $0.05 per hour for hobbyists; GB300 overkill without live offers.
90 TFLOPS FP32 and NVSwitch scaling on GB300 excel in simulations; RTX 2080's 10.1 TFLOPS suffices for basic tasks only.
Frequently Asked Questions
What is the VRAM difference between GB300 and RTX 2080?▾
GB300 offers 288 GB HBM3e VRAM, over 26 times more than RTX 2080's 8-11 GB GDDR6. This enables GB300 for huge AI models. RTX 2080 limits to smaller datasets.
How does memory bandwidth compare?▾
GB300 provides 12000 GB/s, 19 times higher than RTX 2080's 616 GB/s. Larger batches process faster on GB300. RTX 2080 bottlenecks high-throughput tasks.
Is GB300 better for AI training?▾
Yes, with 2250 TFLOPS FP16 versus RTX 2080's 10.1 TFLOPS. GB300 trains large models efficiently. RTX 2080 handles prototypes only.
What are the power requirements?▾
GB300 demands 1400W TDP for data centers. RTX 2080 uses 215W, suitable for desktops. Power scales with performance.
What is the pricing for RTX 2080?▾
Cloud pricing starts at $0.05 per hour, averaging $0.07 per hour across offers. GB300 has no live offers currently. RTX 2080 fits low budgets.
Can RTX 2080 do inference?▾
RTX 2080 manages small-scale inference at 10.1 TFLOPS FP16. GB300's 4500 TFLOPS FP8 serves production loads. Choose based on model size.
Which is cheaper to rent, the GB300 or the RTX 2080?▾
Cloud rental prices for both the GB300 and RTX 2080 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 2080?▾
The GB300 has 288 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find GB300 and RTX 2080 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 2080?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 2080 uses Turing (2018). The GB300 delivers 222.8x the FP16 throughput and 19.5x the memory bandwidth of the RTX 2080.