FluidStack vs Latitude.sh - GPU Provider Comparison (March 2026)
Head-to-head comparison of FluidStack and Latitude.sh. 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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FluidStack
Distributed GPU cloud for AI training and inference
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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| Overview | ||
| Trustpilot Rating | 4.7 | 3.7 |
| Headquarters | United Kingdom | Brazil |
| Provider Type | IaaS | Bare Metal Cloud |
| Best For | Large-scale AI training frontier model development inference at scale sovereign AI deployments | Bare metal AI/ML Web3/Solana validators gaming/streaming edge dedicated GPU without virtualization |
| GPU Hardware | ||
| GPU Models | NVIDIA L40S (48GB) NVIDIA A100 PCIe (40GB) NVIDIA A100 SXM (80GB) NVIDIA H100 SXM (80GB) NVIDIA H200 SXM (141GB) NVIDIA B200 SXM (192GB) NVIDIA GB200 NVL72 | NVIDIA A30 (24GB) NVIDIA RTX A5000 (24GB) NVIDIA RTX A6000 (48GB) NVIDIA L40S (48GB) NVIDIA RTX 6000 Ada (48GB) NVIDIA A100 SXM (80GB) NVIDIA H100 SXM (80GB) NVIDIA GH200 (96GB) NVIDIA RTX PRO 6000 (96GB) |
| Max VRAM (GB) | 192 | 96 |
| Max GPUs/Instance | 8 | 8 |
| Interconnect | InfiniBand | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $1.30/hr | $0.35/hr |
| Billing Granularity | Per-hour | Per-hour |
| Spot/Preemptible | N/A | N/A |
| Reserved Discounts | Yes (30-day minimum, 20-40% off) | Yes (monthly 30% off, yearly 50% off) |
| Free Credits | Limited (by request for qualifying use cases) | $200 via referral program |
| Egress Fees | None (zero egress fees) | 20 TB free/mo per server, $0.01/GB overage |
| Storage | On-node NVMe storage included, attachable filesystems via API | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo |
| Infrastructure | ||
| Regions | Canada, Netherlands, Norway, Sweden, United States (expanding) | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo |
| Uptime SLA | 15-min response SLA | 99.9% |
| Developer Experience | ||
| Frameworks | PyTorch Kubernetes Slurm Pyxis/Enroot CUDA NVIDIA GPU Operator | ML-optimized images PyTorch TensorFlow (user-installed) CUDA |
| Docker Support | N/A | N/A |
| SSH Access | N/A | N/A |
| Jupyter Notebooks | N/A | N/A |
| API / CLI | N/A | N/A |
| Setup Time | Under 5 minutes | Under 5 seconds |
| Kubernetes Support | N/A | N/A |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 ISO 27001 | Single-tenant isolation DPA available |