Specifications Compared
| Spec | B300 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 1200W | 260W |
| VRAM | 288 GB | 48 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 | 16.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | |
| Memory Bandwidth | 12,000 GB/s | 672 GB/s |
Performance Analysis
Raw compute specs highlight the B300's dominance in AI workloads: FP16 throughput reaches 2250 TFLOPS on the B300, over 138 times the Quadro RTX 8000's 16.3 TFLOPS, accelerating mixed-precision training and inference. FP32 performance on the B300 hits 90 TFLOPS, still more than five times the Quadro's 16.3 TFLOPS, benefiting general-purpose computing. FP8 capability at 4500 TFLOPS on the B300 enables ultra-efficient inference for quantized large language models.
Memory differences profoundly impact real-world usage. The B300's 288 GB HBM3e VRAM supports massive batch sizes and model parameters that exceed 48 GB GDDR6 on the Quadro, preventing out-of-memory errors in training billion-parameter models. Bandwidth of 12000 GB/s on the B300 sustains high data throughput for large datasets, versus 672 GB/s on the Quadro, which limits scalability in memory-bound tasks like inference at scale. Higher 1200W TDP on the B300 correlates with sustained peak performance under heavy loads, unlike the 260W Quadro suited for lighter duties.
Interconnect advantages favor the B300: NVSwitch and NVLink enable multi-GPU scaling beyond the Quadro's NVLink in PCIe setups, crucial for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B300 SXM6
| 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 | 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 SXM6
Opt for the B300 in datacenter-scale AI training and inference where 288 GB HBM3e VRAM handles models beyond 48 GB capacities. Its 2250 TFLOPS FP16 and 12000 GB/s bandwidth excel in processing large batches of transformer models, reducing training times dramatically.
Cloud deployments benefit from B300 SXM6 availability at $2.45 per hour starting price across seven offers, ideal for elastic workloads requiring NVSwitch interconnects.
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for legacy workstation applications like CAD rendering or visualization where PCIe form factor integrates seamlessly into existing desktops. Its 260W TDP suits power-constrained environments, and 48 GB GDDR6 VRAM suffices for professional graphics tasks without cloud dependency.
On-premises setups with no live cloud offers favor the Quadro if hardware is already owned, avoiding $6.44 per hour average costs of B300 while leveraging 16.3 TFLOPS FP32 for compute visualization.
Use Cases
B300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 support massive models and batches unattainable on Quadro's 48 GB and 16.3 TFLOPS.
4500 TFLOPS FP8 and 12000 GB/s bandwidth on B300 enable high-throughput quantized inference, surpassing Quadro's 16.3 TFLOPS FP16.
90 TFLOPS FP32 and 288 GB VRAM on B300 handle parameter-efficient fine-tuning at scale, exceeding Quadro's 48 GB capacity.
B300's 2250 TFLOPS FP16 accelerates diffusion model generation with large VRAM for high-resolution outputs, far beyond Quadro's limits.
1200W TDP and NVSwitch on B300 sustain complex simulations with 90 TFLOPS FP32, outperforming Quadro's 260W and PCIe constraints.
Frequently Asked Questions
What is the VRAM difference between B300 and Quadro RTX 8000?▾
The B300 offers 288 GB HBM3e VRAM, six times the Quadro RTX 8000's 48 GB GDDR6. This enables larger models on B300. Bandwidth reaches 12000 GB/s on B300 versus 672 GB/s on Quadro.
Which GPU has higher FP16 performance?▾
B300 delivers 2250 TFLOPS FP16, over 138 times the Quadro RTX 8000's 16.3 TFLOPS. This gap favors B300 for AI training. FP8 on B300 hits 4500 TFLOPS, unavailable on Quadro.
What are the power requirements?▾
B300 TDP is 1200W in SXM form, compared to Quadro RTX 8000's 260W in PCIe. Higher TDP on B300 supports peak sustained performance. Quadro suits low-power setups.
Is cloud pricing available for these GPUs?▾
B300 SXM6 starts at $2.45 per hour, averaging $6.44 per hour across seven offers. No live cloud offers exist for Quadro RTX 8000. B300 provides on-demand access.
What architectures do they use?▾
B300 uses 2025 Blackwell Ultra architecture with NVSwitch. Quadro RTX 8000 employs 2018 Turing with NVLink. The seven-year gap yields vast spec improvements in B300.
Which is better for large model training?▾
B300 excels with 288 GB VRAM and 2250 TFLOPS FP16 for billion-parameter training. Quadro's 48 GB limits it to smaller models. Bandwidth of 12000 GB/s aids B300 scalability.
Which is cheaper to rent, the B300 or the Quadro RTX 8000?▾
Cloud rental prices for both the B300 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The B300 has 288 GB of HBM3e memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find B300 and Quadro RTX 8000 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 Quadro RTX 8000?▾
The B300 uses the Blackwell Ultra architecture (2025) while the Quadro RTX 8000 uses Turing (2018). The B300 delivers 138.0x the FP16 throughput and 17.9x the memory bandwidth of the Quadro RTX 8000.