Specifications Compared
| Spec | B300 | RTX-5880-ADA |
|---|---|---|
| TDP | 1200W | 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 B300 dominates in AI-specific compute with 2250 TFLOPS FP16 and 4500 TFLOPS FP8, enabling rapid training of large language models that demand high tensor throughput. Its FP32 performance of 90 TFLOPS slightly exceeds the RTX 5880 Ada's balanced 69.7 TFLOPS in both FP16 and FP32, but the delta means the B300 accelerates mixed-precision training by over 32 times in FP16-heavy workflows. For inference, the B300's FP8 capability at 4500 TFLOPS supports ultra-efficient serving of billion-parameter models. Memory bandwidth profoundly impacts real-world usage: the B300's 12000 GB/s allows batch sizes up to 10 times larger than the RTX 5880 Ada's 960 GB/s, reducing latency in transformer models and enabling in-context learning with massive datasets. The RTX 5880 Ada's equal FP16 and FP32 rates favor graphics rendering and simulations where precision matters equally, but it struggles with memory-bound tasks beyond 48 GB VRAM.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA B300 SXM6 262GB VRAM | 262GB | 0 vCPU 0GB RAM | 🌍global | $7.39/GPU/hr | |||
 VERDA | NVIDIA B300 SXM6 262GB VRAM | 262GB | 30 vCPU 255GB RAM | Helsinki | $7.50/GPU/hr | Available | ||
VERDA | 2×NVIDIA B300 SXM6 262GB VRAM | 262GB | 60 vCPU 510GB RAM | Helsinki | $7.50/GPU/hr $15.00/hr total (2×) | Available | ||
VERDA | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 240 vCPU 2040GB RAM | Helsinki | $7.50/GPU/hr $60.00/hr total (8×) | Available | ||
 Scaleway | 8×NVIDIA B300 SXM6 262GB VRAM | 262GB | 224 vCPU 3840GB RAM 22352GB Storage | Paris | $8.73/GPU/hr $69.84/hr total (8×) | Available |
When to Choose the B300
The B300 excels in hyperscale AI training and inference where models exceed 100 billion parameters. Its 288 GB HBM3e VRAM and 12000 GB/s bandwidth handle enormous batch sizes without swapping, ideal for cloud providers like those offering it from $2.45 per hour. NVLink and NVSwitch interconnects enable multi-GPU scaling for clusters processing petabyte-scale data.
When to Choose the RTX 5880 Ada
The RTX 5880 Ada suits budget-conscious workstations for prototyping and visualization tasks. With 48 GB GDDR6 and 285 W TDP, it fits PCIe slots without specialized cooling, perfect for single-node fine-tuning or rendering under 960 GB/s bandwidth constraints. No current cloud offers make it viable for on-premises professional workflows.
Use Cases
The B300's 2250 TFLOPS FP16 and 288 GB VRAM support training models over 100B parameters with large batches. The RTX 5880 Ada's 69.7 TFLOPS and 48 GB limit it to smaller scales.
4500 TFLOPS FP8 on the B300 enables low-latency serving of massive models via 12000 GB/s bandwidth. RTX 5880 Ada cannot handle equivalent context lengths with 48 GB VRAM.
B300's high memory capacity fits full model fine-tuning without gradient checkpointing. RTX 5880 Ada works for small models but bottlenecks at 960 GB/s.
RTX 5880 Ada's balanced 69.7 TFLOPS FP16/FP32 suits image generation pipelines efficiently at 285 W. B300 overkill for single-image tasks.
B300's 90 TFLOPS FP32 and NVLink scaling accelerate simulations with large datasets. RTX 5880 Ada viable for modest workloads but lacks interconnects.
Frequently Asked Questions
Which GPU has more VRAM?▾
The B300 provides 288 GB HBM3e VRAM, far exceeding the RTX 5880 Ada's 48 GB GDDR6. This difference allows the B300 to load models six times larger without partitioning. Bandwidth follows suit at 12000 GB/s versus 960 GB/s.
What is the FP16 performance difference?▾
B300 achieves 2250 TFLOPS FP16, over 32 times the RTX 5880 Ada's 69.7 TFLOPS. This gap accelerates AI training significantly. FP8 on B300 reaches 4500 TFLOPS for inference.
Is the B300 available in the cloud?▾
B300 offers start from $2.45 per hour, averaging $6.06 across nine providers. RTX 5880 Ada has no live cloud offers. B300 uses SXM form factor with NVSwitch.
Which has lower power consumption?▾
RTX 5880 Ada draws 285 W TDP, versus B300's 1200 W. This makes RTX suitable for workstations. B300 requires datacenter cooling.
Can RTX 5880 Ada scale multi-GPU?▾
RTX 5880 Ada uses PCIe with no specified interconnect, limiting scaling. B300 supports NVLink and NVSwitch for clusters. This favors B300 for distributed training.
What architectures do they use?▾
B300 employs Blackwell Ultra from 2025, RTX 5880 Ada uses Ada Lovelace from 2024. Blackwell enables higher FP8/FP16 densities. FP32 is 90 TFLOPS on B300, 69.7 on RTX.
Which is cheaper to rent, the B300 or the RTX 5880 Ada?▾
Cloud rental prices for both the B300 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 B300 have compared to the RTX 5880 Ada?▾
The B300 has 288 GB of HBM3e memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find B300 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 B300 and the RTX 5880 Ada?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 5880 Ada uses Ada Lovelace (2024). The B300 delivers 32.3x the FP16 throughput and 12.5x the memory bandwidth of the RTX 5880 Ada.