H100 PCIe vs RTX 5060

HoppervsBlackwellUpdated 35 days ago

The H100 PCIe emerges as the clear winner for prevalent AI and machine learning tasks due to its 1979 TFLOPS FP16, 80 to 94 GB VRAM, and 3350 GB/s bandwidth that handle large-scale training and inference unmatched by the RTX 5060's 23.1 TFLOPS and 12 GB limits.

H100 PCIe 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 PCIe dominates in raw compute with 1979 TFLOPS FP16 performance, enabling rapid large-scale model training where half-precision arithmetic prevails, compared to the RTX 5060's 23.1 TFLOPS that suits smaller datasets. Its FP32 output of 67 TFLOPS exceeds the RTX 5060's 23.1 TFLOPS, benefiting precision-sensitive simulations, though the consumer card's balanced FP16 and FP32 suggests efficiency for mixed workloads. Memory bandwidth of 3350 GB/s on the H100 PCIe supports massive batch sizes in training, minimizing data bottlenecks for models exceeding 12 GB VRAM limits of the RTX 5060. Inference benefits most from H100's FP8 at 3958 TFLOPS for quantized models, while the RTX 5060's 448 GB/s bandwidth restricts it to modest inference scales. Power draw underscores trade-offs: 700W for H100 PCIe demands robust cooling, versus 180W for edge-friendly RTX 5060 deployments.

Live Cloud Pricing

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

H100 PCIe

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
Voltage Park
Voltage Park
8×NVIDIA H100 SXM5
80GB VRAM
$1.99/GPU/hr
$15.92/hr total (8×)

RTX 5060

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 5060 Ti
16GB VRAM
$0.27/GPU/hr
$1.07/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H100 PCIe

Professionals handling enterprise AI select the H100 PCIe for LLM training and inference requiring over 80 GB VRAM and 3350 GB/s bandwidth to process models without splitting. Its 1979 TFLOPS FP16 accelerates distributed workloads via NVLink and PCIe 5.0, ideal for cloud instances at $1.25 to $2.59 per hour. Datacenter scenarios with high TDP tolerance of 700W favor this GPU over consumer alternatives.

When to Choose the RTX 5060

Developers seeking cost-effective consumer setups choose the RTX 5060 for gaming or lightweight fine-tuning within 12 GB VRAM constraints and 180W power envelope. Its Blackwell architecture and 448 GB/s bandwidth suffice for Stable Diffusion or personal inference at PCIe form factor simplicity. Absence of live cloud offers positions it for on-premise use until availability grows.

Use Cases

LLM Training
H100 PCIe

H100 PCIe provides 1979 TFLOPS FP16 and 80 to 94 GB HBM3 VRAM essential for training massive LLMs with large batch sizes. RTX 5060's 12 GB VRAM cannot accommodate such models.

LLM Inference
H100 PCIe

H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth enable high-throughput quantized inference. RTX 5060 lacks the capacity for production-scale deployments.

Fine-tuning
H100 PCIe

H100 PCIe supports fine-tuning large models with 67 TFLOPS FP32 and extensive VRAM. RTX 5060 works for small models but scales poorly.

Stable Diffusion
RTX 5060

RTX 5060's 23.1 TFLOPS FP16 and 180W TDP fit image generation on desktops efficiently. H100 PCIe overkill for consumer creative tasks.

Scientific Computing
H100 PCIe

H100's 67 TFLOPS FP32 and high interconnects handle complex simulations. RTX 5060's lower specs limit precision workloads.

Frequently Asked Questions

Which GPU has more VRAM?

The H100 PCIe offers 80 to 94 GB HBM3 VRAM, far exceeding the RTX 5060's 12 GB GDDR7. This enables larger models on H100. Bandwidth follows suit at 3350 GB/s versus 448 GB/s.

What is the FP16 performance difference?

H100 PCIe achieves 1979 TFLOPS in FP16, while RTX 5060 reaches 23.1 TFLOPS. This gap favors H100 for AI training. FP8 on H100 hits 3958 TFLOPS for further acceleration.

How much power do they consume?

H100 PCIe has a 700W TDP suited for datacenters, compared to RTX 5060's 180W for consumer systems. Lower power aids RTX portability. Both use PCIe form factors.

What are the cloud prices?

H100 PCIe rents from $1.25 per hour, averaging $2.59 across 22 offers. RTX 5060 has no live cloud availability yet. Pricing reflects datacenter versus consumer positioning.

Which is better for AI training?

H100 PCIe excels with 1979 TFLOPS FP16 and 80 GB VRAM for large-scale training. RTX 5060's 23.1 TFLOPS limits it to smaller jobs. Memory bandwidth of 3350 GB/s seals H100's advantage.

What architectures do they use?

H100 PCIe employs Hopper from 2022, RTX 5060 uses Blackwell from 2025. Hopper optimizes datacenter AI, Blackwell targets consumers. Interconnects like NVLink give H100 multi-GPU edges.

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