RTX Pro 6000 vs GH200
Explore a head to head comparison of specifications, performance, and pricing.
RTX Pro 6000
The NVIDIA RTX Pro 6000 delivers high-performance computing capabilities for AI, machine learning, and data science applications.
GH200
The NVIDIA GH200 is an advanced Hopper-based GPU that significantly boosts performance for generative AI, LLM, and HPC workloads with enhanced memory and bandwidth.
RTX Pro 6000 vs GH200: Which Should You Choose?
Both the RTX Pro 6000 and GH200 offer 96 GB of VRAM, putting them on equal footing for memory-bound workloads. On FP16 throughput, the GH200 delivers 267.6 TFLOPS versus 126 TFLOPS on the RTX Pro 6000 — 2× faster for mixed-precision training and inference. Memory bandwidth favors the GH200 at 0.00 TB/s compared to 0.00 TB/s on the RTX Pro 6000, which directly impacts inference latency for memory-bandwidth-bound models. Architecturally, the RTX Pro 6000 is built on Blackwell while the GH200 uses Hopper, reflecting different generational capabilities and optimizations. On Shadeform, the RTX Pro 6000 starts from $1.25/hr versus $1.49/hr for the GH200 — 19% more expensive — reflecting the performance premium. The RTX Pro 6000 is available across 7 cloud providers on Shadeform compared to 2 for the GH200, giving more options for region and pricing flexibility.
RTX Pro 6000 — Best Use Cases
- •Next-generation LLM pre-training at scale
- •Trillion-parameter model inference
- •Ultra-high-throughput AI workloads
- •Advanced HPC and scientific computing
Choose RTX Pro 6000 when:
- ✓Cost efficiency is your primary concern
- ✓Your workload does not require peak FP16 throughput
- ✓You need flexibility across multiple cloud providers or regions
GH200 — Best Use Cases
- •Training large language models (7B–405B parameters)
- •High-throughput LLM inference
- •Mixture-of-experts and transformer workloads
- •Distributed multi-GPU training runs
Choose GH200 when:
- ✓Maximum performance justifies the higher cost
- ✓You are training large models or running high-throughput inference
- ✓Your preferred provider already has availability
See how the RTX Pro 6000 & GH200 compare
Compare detailed hardware specifications and average pricing for the RTX Pro 6000 and GH200.
Compare Hardware Specifications
| RTX Pro 6000 | GH200 | |
|---|---|---|
| GPU Type | RTX Pro 6000 | GH200 |
| VRAM per GPU | 96 GB | 96 GB |
| Manufacturer | NVIDIA | NVIDIA |
| Architecture | Blackwell | Hopper |
| Interconnect | PCIe Gen5 | NVLink-C2C |
| Memory Bandwidth | 1.59 TB/s | 4 TB/s or 4.9 TB/s |
| FP16 TFLOPS | 126.0 TFLOPS (1:1) | 267.6 TFLOPS (4:1) |
| CUDA Cores | 24064 | 16896 |
| Tensor Cores | 752 (5th Gen) | 528 (4th Gen) |
| RT Cores | 188 (4th Gen) | N/A |
| Base Clock | 1860 MHz | 1500 MHz |
| Boost Clock | 2600 MHz | 1980 MHz |
| TDP | 400W | 900W-1000W |
| Process Node | TSMC 4N | TSMC 4N |
| Data Formats | FP4, FP6, FP8, INT8, BF16, FP16, TF32, FP32 | FP8, INT8, BF16, FP16, TF32, FP32, FP64 |
Compare Average On-Demand Pricing
| RTX Pro 6000 | GH200 | |
|---|---|---|
| 1 GPU | $1.70 /hr | $2.86 /hr |
| 2 GPUs | $3.30 /hr | N/A |
| 4 GPUs | $6.60 /hr | N/A |
| 8 GPUs | $14.11 /hr | N/A |
Frequently Asked Questions: RTX Pro 6000 vs GH200
The main differences are FP16 throughput (126 vs 267.6 TFLOPS), architecture (Blackwell vs Hopper). The RTX Pro 6000 uses the Blackwell architecture while the GH200 is based on Hopper, giving each GPU different generational capabilities.
The GH200 is generally better for large language model training due to its higher throughput and 96 GB of VRAM, which allows fitting larger models or larger batch sizes in a single pass. For smaller models or fine-tuning tasks where cost matters more, both GPUs can be effective.
On Shadeform, the RTX Pro 6000 is available from $1.25/hr. The GH200 starts from $1.49/hr. Prices vary by provider, region, and contract length. Reserved commitments can reduce hourly costs significantly compared to on-demand pricing.
Based on TFLOPS per dollar, the GH200 offers better raw compute value at current Shadeform on-demand rates. However, the best choice depends on your specific workload — if you need the extra VRAM or throughput of the RTX Pro 6000, paying the premium may be justified by faster job completion and lower total cost.
The RTX Pro 6000 is currently available across 7 cloud providers on Shadeform's network, compared to 2 for the GH200. Shadeform lets you deploy either GPU across all available providers from a single platform, so you can always find available capacity without manually checking each cloud.
Mixing different GPU types in a single training cluster is generally not recommended, as it creates performance bottlenecks where faster GPUs wait for slower ones. For best results, use a homogeneous cluster of either RTX Pro 6000 or GH200. Shadeform supports on-demand clusters of up to 64 GPUs of the same type with no commitment required.
Explore RTX Pro 6000 & GH200 Instances
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