Specifications Compared
| Spec | H200 | RTX-5060 |
|---|---|---|
| TDP | 700W | 180W |
| VRAM | 141 GB | 12 GB |
| CUDA Cores | 16,896 | 4,608 |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 144 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 23.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 370 TOPS |
| Memory Bandwidth | 4,800 GB/s | 448 GB/s |
Performance Analysis
Memory specifications define key disparities: H200 SXM's 141 GB HBM3e supports batch sizes for models exceeding 100 billion parameters, while RTX 5060 Ti's 12 GB GDDR7 limits it to smaller batches or quantized models. Bandwidth reinforces this: 4800 GB/s on H200 enables rapid data movement for training, compared to 448 GB/s on RTX 5060 Ti which bottlenecks large datasets.
Compute performance varies by precision. H200 SXM achieves 1979 TFLOPS FP16 for mixed-precision training and 67 TFLOPS FP32 for scientific simulations, far beyond RTX 5060 Ti's 23.1 TFLOPS in both. FP8 at 3958 TFLOPS on H200 accelerates inference on massive LLMs, unavailable at scale on RTX 5060 Ti. Power draw reflects roles: 700W TDP suits rack-scale H200 deployments, versus 180W for efficient RTX 5060 Ti edge use.
Real-world impacts include training throughput: H200 handles full-model fine-tuning in hours, RTX 5060 Ti requires days or distillation. Inference latency drops with H200's bandwidth for high-concurrency serving.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 SXM
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 2×NVIDIA H200 SXM 141GB VRAM | 141GB | 48 vCPU 480GB RAM 6000GB Storage | London | $3.50/GPU/hr $7.00/hr total (2×) | Available |
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 |
When to Choose the H200 SXM
NVIDIA H200 SXM excels in large-scale AI training: its 141 GB VRAM fits entire LLMs up to 175 billion parameters without sharding. Deploy it for production inference at 3958 TFLOPS FP8, supporting thousands of queries per second via 4800 GB/s bandwidth. Cloud costs at $3.79 per hour justify use in enterprises needing NVLink interconnects for multi-GPU clusters.
When to Choose the RTX 5060 Ti
NVIDIA GeForce RTX 5060 Ti suits budget prototyping: 12 GB VRAM handles fine-tuning of 7 billion parameter models at 23.1 TFLOPS FP16. Its 180W TDP and $0.15 per hour average pricing enable personal development or small inference servers. Choose it for gaming-integrated tasks or Stable Diffusion where PCIe form factor simplifies setups.
Use Cases
H200 SXM's 141 GB VRAM and 1979 TFLOPS FP16 support full-model training without partitioning. RTX 5060 Ti's 12 GB limits it to tiny models.
3958 TFLOPS FP8 and 4800 GB/s bandwidth on H200 enable high-throughput serving. RTX 5060 Ti at 23.1 TFLOPS suits only low-volume use.
141 GB capacity on H200 handles large datasets and LoRA adapters efficiently. RTX 5060 Ti works for small models but slows on batches.
RTX 5060 Ti's 12 GB GDDR7 generates images quickly at low cost. H200 overkills but scales for batch processing.
67 TFLOPS FP32 on H200 accelerates simulations with high precision. RTX 5060 Ti's matching 23.1 TFLOPS FP32 fits lighter tasks.
Frequently Asked Questions
What is the VRAM difference between H200 SXM and RTX 5060 Ti?▾
H200 SXM offers 141 GB HBM3e VRAM, enabling large model hosting. RTX 5060 Ti provides 12 GB GDDR7, suitable for smaller workloads. This 11.75x gap impacts batch sizes directly.
How do FP16 performances compare?▾
H200 SXM reaches 1979 TFLOPS FP16 for rapid training. RTX 5060 Ti delivers 23.1 TFLOPS, about 85x slower. Use H200 for compute-intensive AI.
What are the cloud pricing ranges?▾
H200 SXM starts at $1.19 per hour, averaging $3.79 across 23 offers. RTX 5060 Ti begins at $0.07 per hour, averaging $0.15 across 10 offers. Budget favors RTX for light use.
Which has higher memory bandwidth?▾
H200 SXM provides 4800 GB/s with HBM3e. RTX 5060 Ti offers 448 GB/s GDDR7, over 10x less. Bandwidth boosts H200 data throughput.
What are the TDPs of these GPUs?▾
H200 SXM consumes 700W for datacenter power. RTX 5060 Ti uses 180W for efficiency. Lower TDP aids RTX in edge deployments.
Can RTX 5060 Ti handle LLM inference?▾
RTX 5060 Ti manages inference on 7B models with 23.1 TFLOPS FP16. Larger models need quantization due to 12 GB VRAM. H200 scales better overall.
Which is cheaper to rent, the H200 or the RTX 5060?▾
Cloud rental prices for both the H200 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 H200 have compared to the RTX 5060?▾
The H200 has 141 GB of HBM3e memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find H200 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 H200 and the RTX 5060?▾
The H200 uses the Hopper architecture (2024) while the RTX 5060 uses Blackwell (2025). The H200 delivers 85.7x the FP16 throughput and 10.7x the memory bandwidth of the RTX 5060.