Best Cloud GPU Providers with NVIDIA GH200
The NVIDIA GH200 Grace Hopper Superchip combines an ARM-based Grace CPU with an H100 GPU on a single module, connected via NVLink-C2C with 900 GB/s bandwidth. With 96GB HBM3 GPU memory plus up to 480GB LPDDR5x CPU memory, the GH200 is optimized for workloads that require massive unified memory, such as large-scale recommendation models and graph neural networks. This guide lists providers offering GH200 instances.
Brazil
United States Latitude.sh vs Vultr - Comparison of Top Firms in This Guide
Latitude.sh vs Vultr - GPU Provider Comparison (March 2026)
Head-to-head comparison of Latitude.sh and Vultr. Check max funding, profit splits, daily and overall drawdown rules, leverage, tradable assets, payout frequency, payment and payout methods, trading permissions and KYC restrictions before you buy a challenge. Data refreshed March 2026.
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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Vultr
High-performance cloud GPU across 32 global regions
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| Overview | ||
| Trustpilot Rating | 3.7 | 1.8 |
| Headquarters | Brazil | United States |
| Provider Type | Bare Metal | Multi-Cloud |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | ||
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 96 | 288 |
| Max GPUs/Instance | 8 | 16 |
| Interconnect | NVLink | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.35/hr | $0.47/hr |
| Billing Granularity | Per-hour | Per-hour |
| Spot/Preemptible | 0 | 1 |
| Reserved Discounts | N/A | N/A |
| Free Credits | $200 via referral program | Up to $300 free credit for 30 days |
| Egress Fees | None | Standard (varies by plan) |
| Storage | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage |
| Infrastructure | ||
| Regions | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) |
| Uptime SLA | 99.9% | 100% |
| Developer Experience | ||
| Frameworks | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC |
| Docker Support | 1 | 1 |
| SSH Access | 1 | 1 |
| Jupyter Notebooks | 0 | 1 |
| API / CLI | 1 | 1 |
| Setup Time | Seconds | Minutes |
| Kubernetes Support | 0 | 1 |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | Single-tenant isolation DPA available | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 |
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