Specifications Compared
| Spec | GB300 | RTX-5880-ADA |
|---|---|---|
| TDP | 1400W | 285W |
| VRAM | 288 GB | 48 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 90 TFLOPS | 69.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 1,115 TOPS |
| Memory Bandwidth | 12,000 GB/s | 960 GB/s |
Performance Analysis
The GB300 SXM6 vastly outpaces the RTX 5880 Ada in raw compute: its 2250 TFLOPS FP16 dwarfs the latter's 69.7 TFLOPS, enabling faster AI training and inference on enormous datasets. The FP16 to FP32 ratio reveals specialization: the GB300's 2250 TFLOPS FP16 versus 90 TFLOPS FP32 optimizes low-precision workloads like model training, while the RTX 5880 Ada's equal 69.7 TFLOPS in both suits balanced general-purpose tasks.
Memory specs define scalability limits: 288 GB HBM3e VRAM and 12000 GB/s bandwidth on the GB300 support massive batch sizes for LLMs exceeding 100 billion parameters, reducing out-of-memory errors. The RTX 5880 Ada's 48 GB GDDR6 and 960 GB/s constrain it to smaller batches or models under 30 billion parameters, slowing throughput in memory-bound scenarios.
Power efficiency diverges sharply with the GB300's 1400W TDP demanding robust cooling versus the RTX 5880 Ada's efficient 285W for edge or desktop use.
Live Cloud Pricing
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When to Choose the GB300 SXM6
Opt for the GB300 SXM6 in large-scale AI training or inference where 288 GB HBM3e VRAM handles models over 500 billion parameters without partitioning. Its 12000 GB/s bandwidth and 2250 TFLOPS FP16 accelerate multi-node clusters via NVLink and NVSwitch, ideal for research labs or cloud providers scaling to exaFLOPS.
Datacenter environments with high power budgets benefit from its 4500 TFLOPS FP8 for next-gen inference serving thousands of users.
When to Choose the RTX 5880 Ada
Select the RTX 5880 Ada for workstation-based development with its 285W TDP fitting standard PCIe slots and office power supplies. It excels in prototyping smaller models up to 48 GB VRAM needs, delivering 69.7 TFLOPS FP32 for simulations or fine-tuning without cluster overhead.
Solo creators or small teams prefer its plug-and-play form factor for rapid iteration in Stable Diffusion or scientific visualization.
Use Cases
The GB300 SXM6's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 support training models over 500 billion parameters with large batches. The RTX 5880 Ada's 48 GB limits it to much smaller scales.
With 4500 TFLOPS FP8 and 12000 GB/s bandwidth, the GB300 handles high-concurrency inference for massive LLMs. The RTX 5880 Ada manages only modest throughput due to 48 GB VRAM.
GB300's vast memory fits full model fine-tuning without quantization, leveraging 90 TFLOPS FP32. RTX 5880 Ada suffices for tiny datasets but bottlenecks on larger ones.
RTX 5880 Ada's 69.7 TFLOPS FP16 and PCIe form factor enable fast single-GPU image generation. GB300 SXM6 overkill for this with its 1400W TDP.
RTX 5880 Ada fits desktop simulations with balanced 69.7 TFLOPS FP32; GB300 scales HPC clusters via NVLink for 2250 TFLOPS FP16 intensive tasks.
Frequently Asked Questions
Which GPU has more VRAM: GB300 SXM6 or RTX 5880 Ada?▾
The GB300 SXM6 provides 288 GB HBM3e VRAM, six times the RTX 5880 Ada's 48 GB GDDR6. This enables the GB300 to load vastly larger models without swapping.
How do their FP16 performances compare?▾
GB300 SXM6 delivers 2250 TFLOPS FP16, over 32 times the RTX 5880 Ada's 69.7 TFLOPS. This gap accelerates AI training on the GB300.
What is the memory bandwidth difference?▾
GB300 SXM6 achieves 12000 GB/s, 12.5 times the RTX 5880 Ada's 960 GB/s. Higher bandwidth on GB300 supports larger batch sizes in ML workloads.
Which has higher power consumption?▾
The GB300 SXM6 requires 1400W TDP versus the RTX 5880 Ada's 285W. GB300 demands datacenter infrastructure; RTX 5880 fits workstations.
Can RTX 5880 Ada use NVLink?▾
RTX 5880 Ada lacks NVLink or NVSwitch, relying on PCIe interconnects. GB300 SXM6 leverages these for multi-GPU scaling.
What architectures do they use?▾
GB300 SXM6 employs Blackwell Ultra from 2025; RTX 5880 Ada uses Ada Lovelace from 2024. Blackwell advances AI efficiency over Ada.
Which is cheaper to rent, the GB300 or the RTX 5880 Ada?▾
Cloud rental prices for both the GB300 and RTX 5880 Ada 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 5880 Ada?▾
The GB300 has 288 GB of HBM3e memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find GB300 and RTX 5880 Ada 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 5880 Ada?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 5880 Ada uses Ada Lovelace (2024). The GB300 delivers 32.3x the FP16 throughput and 12.5x the memory bandwidth of the RTX 5880 Ada.