H200 NVL vs RTX 4060

HoppervsAda LovelaceUpdated 35 days ago

The H200 NVL emerges as the winner for the most common use case of AI and machine learning workloads, thanks to its 1979 TFLOPS FP16 performance, 141 GB VRAM, and 4800 GB/s bandwidth that handle large models infeasible on the RTX 4060's 15.1 TFLOPS and 8 GB limits.

H200 NVL from $1.99/hr

Specifications Compared

SpecH200RTX-4060
TDP700W115W
VRAM141 GB8 GB
CUDA Cores16,8963,072
Memory TypeHBM3eGDDR6
ArchitectureHopperAda Lovelace
Form FactorsSXM, 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 Bandwidth4,800 GB/s272 GB/s

Performance Analysis

Compute performance reveals a clear hierarchy: the H200 NVL achieves 1979 TFLOPS in FP16 and 3958 TFLOPS in FP8, compared to the RTX 4060's 15.1 TFLOPS in both FP16 and FP32. This gap means the H200 NVL excels in AI training and inference, where FP16 and FP8 precision dominate, enabling models with billions of parameters to train in hours rather than days on the RTX 4060.

The FP16 to FP32 ratio underscores specialization: the H200 NVL's FP32 sits at 67 TFLOPS, optimized for mixed-precision AI rather than graphics rendering where the RTX 4060 matches FP16 and FP32 at 15.1 TFLOPS each. Memory bandwidth impacts batch sizes directly: 4800 GB/s on the H200 NVL supports massive batches for stable training of large language models, while 272 GB/s on the RTX 4060 limits users to small batches prone to out-of-memory errors.

Power draw further differentiates them, with the H200 NVL at 700W TDP versus the RTX 4060's 115W, reflecting datacenter cooling needs against desktop efficiency.

Live Cloud Pricing

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

H200 NVL

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
4×NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
$14.00/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H200 NVL

The H200 NVL proves superior for large-scale AI training and inference requiring over 141 GB VRAM, such as fine-tuning models with hundreds of billions of parameters. Its 4800 GB/s bandwidth and NVLink interconnect enable multi-GPU clusters for distributed computing, unavailable on the RTX 4060.

Cloud users benefit from H200 NVL pricing from $0.50 per hour, ideal for bursty workloads without upfront hardware costs.

When to Choose the RTX 4060

The RTX 4060 fits desktop gaming, video editing, or small-scale inference with its 8 GB GDDR6 VRAM and 115W TDP, consuming far less power than the H200 NVL's 700W. Local setups avoid cloud costs, as no live offers exist for the RTX 4060, making it preferable for hobbyists or always-on personal projects.

Its PCIe form factor integrates easily into consumer PCs for tasks like Stable Diffusion at modest resolutions.

Use Cases

LLM Training
H200 NVL

The H200 NVL's 141 GB HBM3e VRAM and 4800 GB/s bandwidth support training massive LLMs with large batch sizes. The RTX 4060's 8 GB GDDR6 cannot accommodate such models.

LLM Inference
H200 NVL

Inference on large LLMs demands the H200 NVL's 1979 TFLOPS FP16 and 3958 TFLOPS FP8 for high throughput. The RTX 4060's 15.1 TFLOPS limits it to tiny models.

Fine-tuning
H200 NVL

Fine-tuning requires substantial VRAM for gradients: 141 GB on the H200 NVL versus 8 GB on the RTX 4060 enables full-model approaches without sharding.

Stable Diffusion
RTX 4060

The RTX 4060 handles Stable Diffusion image generation efficiently with 15.1 TFLOPS FP16 at 115W TDP for desktop use. The H200 NVL's scale suits only enterprise-scale diffusion.

Scientific Computing
H200 NVL

Scientific simulations leverage the H200 NVL's 67 TFLOPS FP32 and NVLink for parallel processing. The RTX 4060 lacks interconnects for complex workloads.

Frequently Asked Questions

Which GPU has more VRAM: H200 NVL or RTX 4060?

The H200 NVL provides 141 GB of HBM3e VRAM, far exceeding the RTX 4060's 8 GB GDDR6. This allows the H200 NVL to load massive AI models without swapping. The RTX 4060 suits smaller datasets only.

What is the memory bandwidth difference between H200 NVL and RTX 4060?

The H200 NVL delivers 4800 GB/s, compared to the RTX 4060's 272 GB/s. Higher bandwidth on the H200 NVL supports larger batch sizes in training. The RTX 4060 faces bottlenecks in data-intensive tasks.

How do FP16 performances compare?

The H200 NVL achieves 1979 TFLOPS in FP16, versus 15.1 TFLOPS on the RTX 4060. This makes the H200 NVL ideal for AI acceleration. The RTX 4060 performs adequately for gaming.

What are the power requirements?

The H200 NVL has a 700W TDP, requiring datacenter infrastructure. The RTX 4060 uses 115W, fitting standard desktops. Power efficiency favors the RTX 4060 for home use.

Is there cloud pricing for these GPUs?

H200 NVL cloud pricing starts at $0.50 per hour, averaging $2.39 per hour across four offers. No live offers exist for the RTX 4060, which is typically purchased outright.

Which architecture is newer?

The H200 NVL uses Hopper from 2024, while the RTX 4060 employs Ada Lovelace from 2023. Hopper optimizes for AI with features like FP8 at 3958 TFLOPS on the H200 NVL.

Which is cheaper to rent, the H200 or the RTX 4060?

Cloud rental prices for both the H200 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 H200 have compared to the RTX 4060?

The H200 has 141 GB of HBM3e memory. The RTX 4060 has 8 GB of GDDR6 memory.

Can I find H200 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 H200 and the RTX 4060?

The H200 uses the Hopper architecture (2024) while the RTX 4060 uses Ada Lovelace (2023). The H200 delivers 131.1x the FP16 throughput and 17.6x the memory bandwidth of the RTX 4060.

H200 NVL vs RTX 4060: 131.1x FP16 Gap, 141GB vs 8GB | GPUPerHour