H200 vs RTX PRO 6000

HoppervsBlackwellUpdated 36 days ago

H200 emerges as the superior choice for dominant AI workloads like LLM training and inference. Its 141 GB VRAM, 4800 GB/s bandwidth, and 1979 TFLOPS FP16 outperform PRO's specs across large-scale compute, justifying higher costs for professionals needing peak tensor performance.

H200 from $1.99/hr

Specifications Compared

SpecH200RTX-PRO-6000-BLACKWELL
TDP700W400W
VRAM141 GB96 GB
CUDA Cores16,89621,760
Memory TypeHBM3eGDDR7
ArchitectureHopperBlackwell
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink
Tensor Cores528680
FP8 Performance3,958 TFLOPS2,000 TFLOPS
FP16 Performance1,979 TFLOPS125 TFLOPS
FP32 Performance67 TFLOPS125 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS2,000 TOPS
Memory Bandwidth4,800 GB/s1,792 GB/s

Performance Analysis

Memory capacity defines large-model handling: H200's 141 GB HBM3e supports batch sizes impossible on RTX PRO 6000's 96 GB GDDR7, enabling longer training sequences without swapping. Bandwidth amplifies this: 4800 GB/s on H200 sustains high throughput versus 1792 GB/s on PRO, reducing latency in data-heavy inference. FP16 metrics reveal training disparities: H200 achieves 1979 TFLOPS for rapid model convergence, while PRO's 125 TFLOPS suits lighter workloads. FP32 parity shifts with H200 at 67 TFLOPS against PRO's 125 TFLOPS, favoring PRO for simulation tasks requiring precision. FP8 inference peaks at 3958 TFLOPS on H200 versus 2000 TFLOPS on PRO, accelerating quantized deployments. Power draw impacts scaling: H200's 700W TDP demands robust cooling, contrasting PRO's efficient 400W.

Live Cloud Pricing

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

H200

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

Datacenter-scale AI training demands H200's advantages: 141 GB VRAM accommodates massive LLMs, and 4800 GB/s bandwidth maintains throughput for billion-parameter models. Users prioritizing FP16 at 1979 TFLOPS select H200 for faster iterations over PRO's 125 TFLOPS. NVLink and SXM form factors enable multi-GPU clusters unavailable in PRO's PCIe setup.

When to Choose the RTX PRO 6000

Workstation graphics and mixed-precision tasks favor RTX PRO 6000: 125 TFLOPS FP32 matches or exceeds H200's 67 TFLOPS for CAD rendering. Lower 400W TDP reduces operational costs compared to H200's 700W, ideal for edge deployments. Affordable pricing at $0.59 per hour average suits sporadic professional use over H200's $3.62 average.

Use Cases

LLM Training
H200

H200's 141 GB VRAM and 1979 TFLOPS FP16 enable training of massive models without memory constraints. RTX PRO 6000's 96 GB limits scale.

LLM Inference
H200

Superior 4800 GB/s bandwidth and 3958 TFLOPS FP8 on H200 support high-batch inference. PRO's 1792 GB/s trails in throughput.

Fine-tuning
H200

H200 handles large datasets via 141 GB capacity during fine-tuning. PRO's 96 GB restricts adapter sizes.

Stable Diffusion
RTX PRO 6000

RTX PRO 6000's 125 TFLOPS FP32 excels in image generation precision. Lower 400W TDP fits creative workflows.

Scientific Computing
Either

PRO's balanced 125 TFLOPS FP32 suits simulations; H200's FP16 aids HPC if memory-intensive.

Frequently Asked Questions

Which GPU has more VRAM: H200 or RTX PRO 6000?

H200 provides 141 GB HBM3e VRAM, exceeding RTX PRO 6000's 96 GB GDDR7. This gap supports larger models on H200. Bandwidth follows suit at 4800 GB/s versus 1792 GB/s.

How do FP16 performances compare between H200 and RTX PRO 6000?

H200 delivers 1979 TFLOPS FP16, far surpassing RTX PRO 6000's 125 TFLOPS. This favors H200 for AI training. FP8 follows at 3958 TFLOPS on H200 versus 2000 TFLOPS.

What are the cloud pricing differences for these GPUs?

H200 rents from $0.50 per hour, averaging $3.62 across 26 offers. RTX PRO 6000 starts at $0.59 per hour, averaging $1.32 across 3 offers. PRO offers better value for light use.

Which has higher power consumption: H200 or RTX PRO 6000?

H200 requires 700W TDP, double RTX PRO 6000's 400W. This impacts cooling in clusters. PRO suits power-sensitive setups.

Can RTX PRO 6000 use NVLink like H200?

Both support NVLink, but H200 adds PCIe 5.0 and InfiniBand for datacenters. PRO limits to PCIe form factor. H200 scales better in multi-GPU.

Is Blackwell architecture in RTX PRO 6000 newer than Hopper in H200?

RTX PRO 6000 uses 2025 Blackwell, post-2024 Hopper in H200. Specs show H200 leading in AI metrics. Choice depends on workload focus.

Which is cheaper to rent, the H200 or the RTX PRO 6000?

Cloud rental prices for both the H200 and RTX PRO 6000 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 PRO 6000?

The H200 has 141 GB of HBM3e memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find H200 and RTX PRO 6000 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 PRO 6000?

The H200 uses the Hopper architecture (2024) while the RTX PRO 6000 uses Blackwell (2025). The H200 delivers 15.8x the FP16 throughput and 2.7x the memory bandwidth of the RTX PRO 6000.

H200 vs RTX PRO 6000: 15.8x FP16 Gap, 141GB vs 96GB | GPUPerHour