Specifications Compared
| Spec | B300 | RTX-5060 |
|---|---|---|
| TDP | 1200W | 180W |
| VRAM | 288 GB | 12 GB |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Blackwell Ultra | Blackwell |
| Form Factors | SXM | PCIe |
| Interconnect | NVSwitch, NVLink | |
| FP8 Performance | 4,500 TFLOPS | |
| FP16 Performance | 2,250 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 23.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 4,500 TOPS | 370 TOPS |
| Memory Bandwidth | 12,000 GB/s | 448 GB/s |
Performance Analysis
The B300 demonstrates overwhelming superiority in compute performance: its FP16 throughput hits 2250 TFLOPS compared to the RTX 5060's 23.1 TFLOPS, accelerating AI training and inference by orders of magnitude. The FP32 performance further highlights this gap at 90 TFLOPS for the B300 versus 23.1 TFLOPS for the RTX 5060, though the B300's FP16-to-FP32 ratio of 25:1 underscores its specialization for low-precision AI operations over general-purpose floating-point tasks.
Memory bandwidth profoundly influences real-world applications: the B300's 12000 GB/s supports massive batch sizes in model training, enabling efficient handling of datasets that exceed hundreds of gigabytes, whereas the RTX 5060's 448 GB/s limits it to smaller batches prone to bottlenecks in large-scale inference. This disparity, combined with the B300's 288 GB VRAM versus 12 GB, means the datacenter GPU sustains longer training runs without out-of-memory errors, ideal for LLMs exceeding 100 billion parameters.
Power consumption reflects their roles: the B300's 1200W TDP suits rack-scale deployments with NVLink interconnects, while the RTX 5060's 180W fits PCIe desktops for lighter, intermittent workloads.
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 |
RTX 5060
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | Available |
When to Choose the B300 SXM6
The B300 excels in enterprise environments demanding extreme scale, such as training large language models where 288 GB HBM3e VRAM and 2250 TFLOPS FP16 performance handle datasets up to hundreds of gigabytes without swapping. Its 12000 GB/s bandwidth ensures high throughput for distributed training across NVSwitch-connected nodes, making it essential for research labs or cloud providers running FP8 inference at 4500 TFLOPS.
Organizations prioritizing cloud rentals from $2.45 per hour select the B300 for production AI pipelines requiring sustained 90 TFLOPS FP32 for scientific simulations.
When to Choose the RTX 5060
The RTX 5060 suits individual developers or gamers needing a compact PCIe GPU with 180W TDP for desktops, delivering 23.1 TFLOPS across FP16 and FP32 for real-time rendering or small-scale fine-tuning. Its 12 GB GDDR7 VRAM supports consumer tasks like Stable Diffusion generation at 448 GB/s bandwidth without datacenter overhead.
Budget-conscious users prefer it for local prototyping where no cloud pricing applies, avoiding the B300's 1200W power demands and SXM form factor.
Use Cases
The B300's 288 GB HBM3e VRAM and 2250 TFLOPS FP16 throughput support training models with hundreds of billions of parameters, far beyond the RTX 5060's 12 GB and 23.1 TFLOPS capacity.
With 4500 TFLOPS FP8 performance and 12000 GB/s bandwidth, the B300 handles high-concurrency inference for large models, while the RTX 5060 struggles with batch sizes limited by 448 GB/s.
Fine-tuning mid-to-large models benefits from the B300's 90 TFLOPS FP32 and massive VRAM to avoid memory constraints, outperforming the RTX 5060 for datasets over 10 GB.
The RTX 5060's 23.1 TFLOPS FP16 suffices for real-time image generation on 12 GB VRAM in desktop setups, making it more practical than the overprovisioned B300.
The B300's 1200W TDP and NVLink interconnect enable scalable simulations at 90 TFLOPS FP32, essential for compute-intensive physics or genomics beyond the RTX 5060's scope.
Frequently Asked Questions
Which GPU has more VRAM, B300 or RTX 5060?▾
The B300 provides 288 GB of HBM3e VRAM, vastly exceeding the RTX 5060's 12 GB GDDR7. This enables the B300 to load massive AI models without paging.
What is the FP16 performance difference between B300 and RTX 5060?▾
The B300 achieves 2250 TFLOPS in FP16, compared to 23.1 TFLOPS on the RTX 5060. This 97-fold gap accelerates AI training significantly on the B300.
Is the RTX 5060 available on cloud GPU rentals?▾
No live cloud offers exist for the RTX 5060 currently. The B300 SXM6 starts at $2.45 per hour across seven providers.
How do their memory bandwidths compare?▾
The B300 delivers 12000 GB/s, over 26 times the RTX 5060's 448 GB/s. Higher bandwidth on the B300 supports larger batch sizes in deep learning.
What are the power requirements for each GPU?▾
The B300 has a 1200W TDP suited for datacenters, while the RTX 5060 uses 180W for PCIe desktops. This makes the RTX 5060 viable for personal rigs.
Can the RTX 5060 handle large model inference?▾
The RTX 5060's 12 GB VRAM limits it to models under 10 billion parameters at 23.1 TFLOPS FP16. The B300's 288 GB excels for production-scale inference.
Which is cheaper to rent, the B300 or the RTX 5060?▾
Cloud rental prices for both the B300 and RTX 5060 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 5060?▾
The B300 has 288 GB of HBM3e memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find B300 and RTX 5060 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 5060?▾
The B300 uses the Blackwell Ultra architecture (2025) while the RTX 5060 uses Blackwell (2025). The B300 delivers 97.4x the FP16 throughput and 26.8x the memory bandwidth of the RTX 5060.