Specifications Compared
| Spec | B200 | RTX-5060 |
|---|---|---|
| TDP | 1000W | 180W |
| VRAM | 192 GB | 12 GB |
| CUDA Cores | 18,432 | 4,608 |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Blackwell | Blackwell |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 144 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 23.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 370 TOPS |
| Memory Bandwidth | 8,000 GB/s | 448 GB/s |
Performance Analysis
The B200 SXM's FP16 performance of 4500 TFLOPS vastly outpaces the RTX 5060 Ti's 23.1 TFLOPS, enabling training of large language models in hours rather than days. Its FP32 at 90 TFLOPS supports scientific simulations effectively, compared to the RTX 5060 Ti's equal 23.1 TFLOPS, which suits lighter graphics tasks but struggles with intensive compute.
FP8 at 9000 TFLOPS on the B200 accelerates inference for quantized models, a capability absent in the consumer GPU. Memory bandwidth tells a stark story: 8000 GB/s on B200 permits batch sizes for billion-parameter models, minimizing data movement bottlenecks, while 448 GB/s on RTX 5060 Ti restricts it to smaller batches and datasets.
In real-world terms, B200 SXM clusters process petabyte-scale training jobs efficiently via 192 GB VRAM, whereas RTX 5060 Ti excels in single-user inference or gaming at 1080p resolutions.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA B200 SXM 192GB VRAM | 192GB | 20 vCPU 224GB RAM | 🌍Europe | $3.95/GPU/hr | |||
 Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $4.79/GPU/hr $38.32/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.39/GPU/hr $43.12/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.69/GPU/hr $45.52/hr total (8×) | |||
 RunPod | NVIDIA B200 SXM 192GB VRAM | 192GB | 28 vCPU 283GB RAM | California | $5.89/GPU/hr |
RTX 5060 Ti
| 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 | ||
Vast.ai | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 1526GB Storage | Maryland | $0.27/GPU/hr | Available |
When to Choose the B200 SXM
Opt for the NVIDIA B200 SXM in large-scale AI deployments like LLM training or high-throughput inference. Its 192 GB HBM3e VRAM accommodates models exceeding 100 billion parameters, and 8000 GB/s bandwidth sustains massive batches across NVLink clusters. At $1.71/hr starting price, it justifies costs for enterprises needing 4500 TFLOPS FP16 speed.
When to Choose the RTX 5060 Ti
Choose the NVIDIA GeForce RTX 5060 Ti for budget-conscious gaming, personal prototyping, or light ML tasks. Its 12 GB GDDR7 VRAM and 23.1 TFLOPS FP16 handle Stable Diffusion or fine-tuning small models adequately at $0.07/hr. The 180W TDP ensures easy desktop integration without datacenter infrastructure.
Use Cases
B200 SXM's 4500 TFLOPS FP16 and 192 GB VRAM enable training of massive models with large batches. RTX 5060 Ti's 23.1 TFLOPS and 12 GB limit it to tiny datasets.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 support high-throughput serving for thousands of users. RTX 5060 Ti manages low-volume queries only.
RTX 5060 Ti suffices for small models at $0.07/hr with 12 GB VRAM. B200 excels for parameter-heavy fine-tuning via 192 GB capacity.
RTX 5060 Ti's 23.1 TFLOPS FP16 generates images quickly for individuals at low cost. B200 overkill for single-user creative tasks.
90 TFLOPS FP32 and 1000W TDP on B200 accelerate simulations with large datasets. RTX 5060 Ti's matching 23.1 TFLOPS FP32 fits modest workloads.
Frequently Asked Questions
What is the price difference between B200 SXM and RTX 5060 Ti?▾
B200 SXM starts at $1.71/hr with $4.60/hr average across 13 offers. RTX 5060 Ti begins at $0.07/hr averaging $0.14/hr over 15 offers, making it far cheaper for light use.
How much VRAM do B200 SXM and RTX 5060 Ti have?▾
B200 SXM offers 192 GB HBM3e for massive models. RTX 5060 Ti provides 12 GB GDDR7, suitable for consumer tasks.
Which has higher FP16 performance?▾
B200 SXM achieves 4500 TFLOPS FP16, over 194 times the RTX 5060 Ti's 23.1 TFLOPS. This gap favors B200 for AI acceleration.
What are the memory bandwidth specs?▾
B200 SXM delivers 8000 GB/s, enabling huge batch sizes. RTX 5060 Ti's 448 GB/s supports smaller-scale operations.
What is the TDP comparison?▾
B200 SXM requires 1000W for datacenter power. RTX 5060 Ti uses 180W, ideal for desktops.
Can RTX 5060 Ti handle LLM inference?▾
RTX 5060 Ti manages small models with 12 GB VRAM at 23.1 TFLOPS. Larger inference needs B200 SXM's 192 GB and 9000 TFLOPS FP8.
Which is cheaper to rent, the B200 or the RTX 5060?▾
Cloud rental prices for both the B200 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 B200 have compared to the RTX 5060?▾
The B200 has 192 GB of HBM3e memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find B200 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 B200 and the RTX 5060?▾
The B200 uses the Blackwell architecture (2024) while the RTX 5060 uses Blackwell (2025). The B200 delivers 194.8x the FP16 throughput and 17.9x the memory bandwidth of the RTX 5060.