H100 SXM5 vs RTX 4060

HoppervsAda LovelaceUpdated 35 days ago

H100 SXM5 dominates for AI and compute workloads: 1979 TFLOPS FP16 and 80 to 94 GB VRAM enable production-scale training and inference unattainable on RTX 4060's 15.1 TFLOPS and 8 GB limits. Cloud pricing from $0.80 per hour justifies selection for professional use over consumer alternatives.

H100 SXM5 from $1.90/hr

Specifications Compared

SpecH100RTX-4060
TDP700W115W
VRAM80-94 GB8 GB
CUDA Cores16,8963,072
Memory TypeHBM3GDDR6
ArchitectureHopperAda Lovelace
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBand
Tensor Cores52896
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS15.1 TFLOPS
FP32 Performance67 TFLOPS15.1 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS242 TOPS
Memory Bandwidth3,350 GB/s272 GB/s

Performance Analysis

H100 SXM5's FP16 performance of 1979 TFLOPS vastly outpaces RTX 4060's 15.1 TFLOPS: this enables training large neural networks in hours rather than days on consumer hardware. FP32 at 67 TFLOPS on H100 supports scientific simulations effectively, while RTX 4060 matches its FP16 at 15.1 TFLOPS for lighter workloads only.

Memory bandwidth defines real-world limits: H100's 3350 GB/s handles massive datasets and large batch sizes in inference, preventing out-of-memory errors common with RTX 4060's 272 GB/s and 8 GB VRAM. For FP8 inference, H100's 3958 TFLOPS accelerates serving scales impossible on RTX 4060.

TDP impacts efficiency: H100's 700W suits rack-scale clusters via NVLink and PCIe 5.0, whereas RTX 4060's 115W fits desktop PCIe slots for low-power tasks.

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

Compare real-time pricing across 25+ providers

When to Choose the H100 SXM5

Choose H100 SXM5 for enterprise AI training and inference: its 80 to 94 GB HBM3 VRAM loads models exceeding 70B parameters, and 3350 GB/s bandwidth supports batch sizes over 1000. Cloud deployments at $0.80 per hour enable scalable clusters via NVLink.

Datacenter users benefit from 1979 TFLOPS FP16 for accelerating LLM fine-tuning by 100x over consumer GPUs.

When to Choose the RTX 4060

RTX 4060 suits budget-conscious developers and gamers: 8 GB GDDR6 VRAM handles Stable Diffusion at 512x512 resolutions, and 15.1 TFLOPS FP32 supports real-time rendering. Its 115W TDP enables easy desktop integration without specialized cooling.

Local prototyping of small models under 7B parameters avoids cloud costs, as no live rental offers exist.

Use Cases

LLM Training
H100 SXM5

H100 SXM5's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle models over 70B parameters with large batches. RTX 4060's 8 GB limits it to tiny datasets.

LLM Inference
H100 SXM5

3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 support high-throughput serving. RTX 4060 cannot manage concurrent requests beyond small scales.

Fine-tuning
H100 SXM5

67 TFLOPS FP32 and vast VRAM accelerate parameter-efficient tuning on H100. RTX 4060 restricts to models under 7B parameters.

Stable Diffusion
RTX 4060

RTX 4060's 15.1 TFLOPS FP16 generates images at consumer speeds with 8 GB VRAM. H100 overkill for non-production creative tasks.

Scientific Computing
H100 SXM5

H100's 3350 GB/s bandwidth processes large simulations; 700W TDP fits clusters. RTX 4060's 272 GB/s bottlenecks complex datasets.

Frequently Asked Questions

What is the VRAM difference between H100 SXM5 and RTX 4060?

H100 SXM5 provides 80 to 94 GB HBM3 VRAM, enabling large model handling. RTX 4060 offers 8 GB GDDR6, suitable for smaller workloads only.

How do FP16 performances compare?

H100 SXM5 achieves 1979 TFLOPS in FP16 for rapid AI training. RTX 4060 reaches 15.1 TFLOPS, adequate for consumer inference.

What are the cloud pricing details?

H100 SXM5 starts at $0.80 per hour, averaging $3.58 per hour across 34 offers. RTX 4060 has no live cloud offers available.

Which has higher memory bandwidth?

H100 SXM5 delivers 3350 GB/s, supporting massive batches. RTX 4060 provides 272 GB/s for lighter data flows.

What are the TDP ratings?

H100 SXM5 requires 700W for datacenter power. RTX 4060 uses 115W, ideal for desktops.

Which architecture is newer?

RTX 4060 uses Ada Lovelace from 2023. H100 SXM5 employs Hopper from 2022, optimized for compute over graphics.

Which is cheaper to rent, the H100 or the RTX 4060?

Cloud rental prices for both the H100 and RTX 4060 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 4060?

The H100 has 80 to 94 GB of HBM3 memory. The RTX 4060 has 8 GB of GDDR6 memory.

Can I find H100 and RTX 4060 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 4060?

The H100 uses the Hopper architecture (2022) while the RTX 4060 uses Ada Lovelace (2023). The H100 delivers 131.1x the FP16 throughput and 12.3x the memory bandwidth of the RTX 4060.

H100 SXM5 vs RTX 4060: 131.1x FP16 Gap, 94GB vs 8GB | GPUPerHour