Specifications Compared
| Spec | GB300 | RTX-5060 |
|---|---|---|
| TDP | 1400W | 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
FP16 performance defines AI training prowess: the GB300 delivers 2250 TFLOPS, enabling rapid iterations on trillion-parameter models, while the RTX 5060's 23.1 TFLOPS confines it to smaller datasets. The GB300's FP32 at 90 TFLOPS outstrips the RTX 5060's 23.1 TFLOPS, but the vast FP16 delta underscores low-precision optimization for deep learning pipelines. Equal FP16 and FP32 on the RTX 5060 balances graphics rendering with general compute.
Memory bandwidth profoundly impacts batch sizes: 12000 GB/s on the GB300 accommodates enormous batches, slashing training epochs, whereas 448 GB/s on the RTX 5060 bottlenecks large-model inference. For inference, the GB300's 288 GB VRAM sustains high-concurrency serving; the RTX 5060 excels in low-latency, sub-12 GB scenarios. TDP contrasts further: 1400W for GB300 density versus 180W efficiency.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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 GB300 SXM6
The GB300 SXM6 excels in hyperscale LLM training or inference demanding 288 GB VRAM and 12000 GB/s bandwidth, such as frontier model development. Its NVSwitch and NVLink enable seamless multi-GPU fabrics, ideal for datacenter clusters on gpuperhour.com.
Enterprise users prioritize it for scientific simulations requiring 2250 TFLOPS FP16, where PCIe-limited alternatives falter.
When to Choose the RTX 5060
The RTX 5060 suits personal gaming rigs or Stable Diffusion workflows within 12 GB VRAM and 448 GB/s bandwidth. Its 180W TDP ensures desktop viability without datacenter cooling.
Developers favor it for fine-tuning compact models or real-time inference, leveraging PCIe simplicity over SXM complexity.
Use Cases
GB300's 288 GB VRAM and 2250 TFLOPS FP16 manage trillion-parameter models with large batches. RTX 5060's 12 GB limits it severely.
12000 GB/s bandwidth on GB300 supports high-throughput serving. RTX 5060 handles only small models at 448 GB/s.
GB300 accelerates large datasets via 90 TFLOPS FP32; RTX 5060 suffices for models under 12 GB with 23.1 TFLOPS.
RTX 5060's 23.1 TFLOPS and PCIe form fit desktop image generation. GB300's 1400W TDP overkills consumer tasks.
GB300's 288 GB VRAM and NVLink scale simulations across nodes. RTX 5060 restricts to single-GPU, modest workloads.
Frequently Asked Questions
What is the VRAM difference between GB300 SXM6 and RTX 5060?▾
The GB300 SXM6 provides 288 GB HBM3e VRAM, far exceeding the RTX 5060's 12 GB GDDR7. This enables massive models on GB300. RTX 5060 suits smaller AI tasks.
How do FP16 performances compare?▾
GB300 SXM6 achieves 2250 TFLOPS FP16, versus RTX 5060's 23.1 TFLOPS. GB300 dominates AI training speed. RTX 5060 balances with equal FP32.
What are the TDPs of these GPUs?▾
GB300 SXM6 consumes 1400W TDP for datacenter density. RTX 5060 uses 180W for efficient desktops. Power needs dictate choice.
Which has higher memory bandwidth?▾
GB300 SXM6 offers 12000 GB/s, crushing RTX 5060's 448 GB/s. This boosts GB300 batch sizes in training. RTX 5060 limits large workloads.
Are these GPUs suitable for LLM training?▾
GB300 SXM6 excels with 288 GB VRAM and 2250 TFLOPS FP16 for large LLMs. RTX 5060's 12 GB VRAM restricts to tiny models only.
What form factors do they use?▾
GB300 SXM6 employs SXM for servers with NVLink. RTX 5060 uses PCIe for consumer PCs. Interconnects favor GB300 scaling.
Which is cheaper to rent, the GB300 or the RTX 5060?▾
Cloud rental prices for both the GB300 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 GB300 have compared to the RTX 5060?▾
The GB300 has 288 GB of HBM3e memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find GB300 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 GB300 and the RTX 5060?▾
The GB300 uses the Blackwell Ultra architecture (2025) while the RTX 5060 uses Blackwell (2025). The GB300 delivers 97.4x the FP16 throughput and 26.8x the memory bandwidth of the RTX 5060.