Specifications Compared
| Spec | B300 | RTX-6000-ADA |
|---|---|---|
| TDP | 1200W | 300W |
| VRAM | 288 GB | 48 GB |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell Ultra | Ada Lovelace |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | NVLink |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 4,500 TOPS | 1,457 TOPS |
| Memory Bandwidth | 12,000 GB/s | 960 GB/s |
Performance Analysis
B300's 2250 TFLOPS FP16 performance vastly exceeds RTX 6000 Ada's 91.1 TFLOPS: this advantage accelerates inference on large language models, enabling higher throughput. The FP32 rates remain close at 90 TFLOPS for B300 and 91.1 TFLOPS for RTX, implying similar training speeds for FP32-dominant phases, but B300's FP8 at 4500 TFLOPS unlocks quantized inference efficiencies unattainable on RTX.
Memory specs transform real-world usage: 288 GB HBM3e on B300 supports batch sizes impossible on RTX's 48 GB GDDR6, reducing out-of-memory errors in training massive models. The 12000 GB/s bandwidth of B300, 12.5 times RTX's 960 GB/s, minimizes data bottlenecks, allowing larger effective batch sizes and faster iterations in memory-bound tasks like fine-tuning.
Form factor and interconnects further differentiate: B300's SXM with NVSwitch scales to multi-GPU systems seamlessly, while RTX's PCIe suits single-node setups, impacting distributed training viability.
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 | 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 |
RTX 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the B300
Select the B300 for large-scale LLM training or inference demanding over 288 GB VRAM: its 12000 GB/s bandwidth handles enormous datasets without stalling. Datacenter environments benefit from NVSwitch integration at $2.45 per hour starting price, justifying 1200W TDP for exascale AI clusters.
When to Choose the RTX 6000 Ada
Opt for RTX 6000 Ada in cost-sensitive scenarios like prototyping or small-batch inference: 48 GB VRAM suffices for models under that threshold at $0.20 per hour. Its 300W TDP and PCIe form enable easy deployment in workstations or edge clouds without high power infrastructure.
Use Cases
B300's 288 GB HBM3e VRAM and 12000 GB/s bandwidth enable training massive models; RTX 6000 Ada's 48 GB GDDR6 limits scale.
B300's 4500 TFLOPS FP8 and 2250 TFLOPS FP16 support high-throughput quantized serving; RTX 6000 Ada's 91.1 TFLOPS FP16 falls short for large batches.
288 GB VRAM on B300 accommodates full model fine-tuning without sharding; 48 GB on RTX 6000 Ada requires techniques like LoRA for smaller scopes.
RTX 6000 Ada's 91.1 TFLOPS FP32 and 48 GB VRAM handle image generation efficiently at $0.20 per hour; B300's overkill at 1200W TDP wastes resources.
RTX 6000 Ada's 91.1 TFLOPS FP32 matches B300's 90 TFLOPS for simulations fitting 48 GB; choose B300 only if datasets exceed that via 288 GB VRAM.
Frequently Asked Questions
Which GPU has more VRAM?▾
B300 provides 288 GB HBM3e, far exceeding RTX 6000 Ada's 48 GB GDDR6. This capacity suits massive AI models. Cloud pricing starts at $2.45 per hour for B300 versus $0.20 per hour for RTX.
What is the memory bandwidth difference?▾
B300 achieves 12000 GB/s, 12.5 times RTX 6000 Ada's 960 GB/s. Higher bandwidth reduces bottlenecks in large-batch training. B300's SXM form leverages this in clusters.
How do FP16 performances compare?▾
B300 delivers 2250 TFLOPS FP16, over 24 times RTX 6000 Ada's 91.1 TFLOPS. This boosts inference speed significantly. FP8 on B300 reaches 4500 TFLOPS for quantization.
What are the power requirements?▾
B300 demands 1200W TDP in SXM, while RTX 6000 Ada uses 300W in PCIe. Lower TDP makes RTX suitable for standard servers. Pricing averages $5.55 per hour for B300, $1.20 for RTX.
Which is cheaper in the cloud?▾
RTX 6000 Ada starts at $0.20 per hour across 49 offers, averaging $1.20 per hour. B300 begins at $2.45 per hour over 9 offers, averaging $5.55 per hour. Cost favors RTX for light workloads.
What architectures do they use?▾
B300 employs 2025 Blackwell Ultra with NVSwitch. RTX 6000 Ada uses 2022 Ada Lovelace with NVLink. Generational gap yields B300's superior FP16 at 2250 TFLOPS.
Which is cheaper to rent, the B300 or the RTX 6000 Ada?▾
Cloud rental prices for both the B300 and RTX 6000 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 6000 Ada?▾
The B300 has 288 GB of HBM3e memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find B300 and RTX 6000 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 6000 Ada?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 6000 Ada uses Ada Lovelace (2022). The B300 delivers 24.7x the FP16 throughput and 12.5x the memory bandwidth of the RTX 6000 Ada.