H100 SXM5 vs RTX 5060

HoppervsBlackwellUpdated 35 days ago

The NVIDIA H100 SXM5 emerges as the superior choice for most AI and machine learning tasks on gpuperhour.com. Its 1979 TFLOPS FP16, 80 to 94 GB VRAM, and 3350 GB/s bandwidth outperform the RTX 5060's 23.1 TFLOPS and 12 GB limits by orders of magnitude, justifying $0.80 to $3.56 per hour pricing for production workloads.

H100 SXM5 from $1.90/hrRTX 5060 from $0.27/hr

Specifications Compared

SpecH100RTX-5060
TDP700W180W
VRAM80-94 GB12 GB
CUDA Cores16,8964,608
Memory TypeHBM3GDDR7
ArchitectureHopperBlackwell
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBand
Tensor Cores528144
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS23.1 TFLOPS
FP32 Performance67 TFLOPS23.1 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS370 TOPS
Memory Bandwidth3,350 GB/s448 GB/s

Performance Analysis

The H100 SXM5 dominates in raw compute with 1979 TFLOPS FP16 versus the RTX 5060's 23.1 TFLOPS, enabling faster AI model training where mixed-precision computations prevail. Its FP32 rate of 67 TFLOPS exceeds the RTX 5060's 23.1 TFLOPS, but the FP16 to FP32 ratio on the H100 favors deep learning acceleration over general graphics. For inference, the H100's FP8 capability at 3958 TFLOPS supports ultra-efficient large language model deployments, a feature absent in the consumer card. Memory bandwidth defines practical limits: the H100's 3350 GB/s sustains massive batch sizes for training billion-parameter models, while the RTX 5060's 448 GB/s restricts it to smaller batches or models under 12 GB VRAM. Power draw further separates them, with the H100 at 700W for sustained peaks versus 180W on the RTX 5060, impacting cooling and cost in dense setups. These specs translate to the H100 handling enterprise inference 50 to 100 times faster on large models.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

H100 SXM5

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Hyperstack
Hyperstack
4×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$7.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$3.80/hr total (2×)
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$15.20/hr total (8×)
Available
Hyperstack
Hyperstack
NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.95/GPU/hr
$15.60/hr total (8×)
Available

RTX 5060

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
2×NVIDIA GeForce RTX 5060 Ti
16GB VRAM
$0.27/GPU/hr
$0.53/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H100 SXM5

The H100 SXM5 excels in large-scale AI training and inference where 80 to 94 GB HBM3 VRAM accommodates models exceeding 12 GB. Its 3350 GB/s bandwidth and NVLink interconnect enable multi-GPU clusters for distributed workloads, ideal for research labs or cloud providers. Cloud availability from $0.80 per hour across 33 offers makes it scalable without upfront hardware costs.

When to Choose the RTX 5060

The RTX 5060 fits gaming, content creation, or lightweight AI on desktops with its 180W TDP and PCIe form factor. Users with small models under 12 GB VRAM benefit from 23.1 TFLOPS FP16 at lower power and no rental fees. It serves hobbyists or developers prototyping before scaling to cloud H100 instances.

Use Cases

LLM Training
H100 SXM5

The H100 SXM5's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle billion-parameter models with large batch sizes via 3350 GB/s bandwidth. The RTX 5060's 12 GB limits it to tiny models.

LLM Inference
H100 SXM5

H100's 3958 TFLOPS FP8 and high bandwidth enable low-latency serving of large models. RTX 5060 suits only sub-12 GB models at 23.1 TFLOPS.

Fine-tuning
H100 SXM5

H100 supports full fine-tuning of large models with 67 TFLOPS FP32 and NVLink scaling. RTX 5060 restricts to parameter-efficient methods due to 12 GB VRAM.

Stable Diffusion
RTX 5060

RTX 5060's 23.1 TFLOPS and GDDR7 suffice for real-time image generation on desktops at 180W. H100 overkill for single-user creative tasks.

Scientific Computing
H100 SXM5

H100's 3350 GB/s bandwidth and InfiniBand interconnect accelerate simulations with massive datasets. RTX 5060 lacks scale for HPC clusters.

Frequently Asked Questions

What is the VRAM difference between H100 SXM5 and RTX 5060?

The H100 SXM5 provides 80 to 94 GB HBM3 VRAM, far exceeding the RTX 5060's 12 GB GDDR7. This enables the H100 to load massive AI models without swapping. The RTX 5060 suits smaller workloads under 12 GB.

How do their FP16 performances compare?

H100 SXM5 delivers 1979 TFLOPS FP16, over 85 times the RTX 5060's 23.1 TFLOPS. This gap accelerates AI training on the H100. Consumer tasks see less disparity on the RTX 5060.

What are the power requirements?

The H100 SXM5 has a 700W TDP for datacenter use, while the RTX 5060 draws 180W for desktops. Lower power makes RTX 5060 easier for personal setups. H100 requires robust cooling.

Is the H100 available on cloud platforms?

H100 SXM5 cloud pricing starts at $0.80 per hour, averaging $3.56 per hour across 33 offers. No live offers exist for RTX 5060. This favors H100 for on-demand scaling.

Which has higher memory bandwidth?

H100 SXM5 offers 3350 GB/s, about 7.5 times the RTX 5060's 448 GB/s. Higher bandwidth on H100 supports larger batches in training. RTX 5060 limits scale accordingly.

What architectures do they use?

H100 SXM5 uses Hopper from 2022 optimized for AI, while RTX 5060 employs Blackwell from 2025 for gaming and graphics. Hopper excels in FP8 at 3958 TFLOPS on H100. Blackwell balances consumer compute.

Which is cheaper to rent, the H100 or the RTX 5060?

Cloud rental prices for both the H100 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 H100 have compared to the RTX 5060?

The H100 has 80 to 94 GB of HBM3 memory. The RTX 5060 has 12 GB of GDDR7 memory.

Can I find H100 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 H100 and the RTX 5060?

The H100 uses the Hopper architecture (2022) while the RTX 5060 uses Blackwell (2025). The H100 delivers 85.7x the FP16 throughput and 7.5x the memory bandwidth of the RTX 5060.

H100 SXM5 vs RTX 5060: 85.7x FP16 Gap, 94GB vs 12GB | GPUPerHour