What are the GPU specifications available at Latitude.sh?
💡 Answer
As of April 1, 2026, Latitude.sh provides access to the following GPU models:
A30, RTX A5000, RTX A6000, L40S, RTX 6000 Ada, A100 SXM, H100 SXM, GH200, RTX PRO 6000
For memory-intensive workloads such as large language model training, the highest VRAM option at Latitude.sh is 96 GB. Multi-GPU instances support up to 8 GPUs with NVLink interconnect for efficient parallel computation.
See which GPU models are currently in stock at Latitude.sh official website.
More FAQs about Latitude.sh
- Should I use Latitude.sh for my AI/ML project?
- Is Latitude.sh well-reviewed on Trustpilot?
- Can I install my own CUDA toolkit and frameworks on Latitude.sh?
- What is the setup and deployment experience like at Latitude.sh?
- Does Latitude.sh offer auto-scaling GPU endpoints?
- Does Latitude.sh offer private networking between GPU instances?
- Is NVLink or InfiniBand available at Latitude.sh?
- Are there preemptible GPU options at Latitude.sh for fault-tolerant workloads?
- Are there hidden bandwidth charges at Latitude.sh?
- Does Latitude.sh offer any sign-up bonus or free compute credits?
- How does Latitude.sh charge for GPU compute time?
Guides Where Latitude.sh Is Featured
- Best Cloud GPU Providers with AMD MI300X
- Best Cloud GPUs for Fine-Tuning LLMs
- Cheapest Cloud GPUs Under $1/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Latitude.sh alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Latitude.sh vs Vultr vs Massed Compute - GPU Provider Comparison (April 2026)
Side-by-side comparison of Latitude.sh vs Vultr vs Massed Compute. Quickly scan maximum funding, profit splits, risk rules, leverage, platforms, instruments, payout schedules, payment options, trading permissions and KYC restrictions to narrow down your prop trading firm shortlist. Data updated April 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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Massed Compute
GPU cloud with direct engineer support
|
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.7 | 1.8 | 0 |
| Headquarters | Brazil | United States | United States |
| Provider Type | Bare Metal | Multi-Cloud | GPU-Focused |
| 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 | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion 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 | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL |
| Max VRAM (GB) | 96 | 288 | 141 |
| Max GPUs/Instance | 8 | 16 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.35/hr | $0.47/hr | $0.35/hr |
| Billing Granularity | Per-hour | Per-hour | Per-minute |
| Spot/Preemptible | 0 | 1 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | $200 via referral program | Up to $300 free credit for 30 days | None |
| Egress Fees | None | Standard (varies by plan) | None |
| 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 | Local NVMe included with instances |
| 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) | United States (Tier III data centers) |
| Uptime SLA | 99.9% | 100% | Tier III (99.98% design) |
| Developer Experience | |||
| Frameworks | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 0 | 1 | 0 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Seconds | Minutes | Minutes |
| Kubernetes Support | 0 | 1 | 0 |
| Business Terms | |||
| Min Commitment | None | 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 | SOC 2 Type II HIPAA |