How does serverless GPU work at Latitude.sh?
💡 Answer
Does Latitude.sh offer serverless? 0
Serverless GPU eliminates the need to manage infrastructure for inference workloads. Instead of provisioning dedicated instances, your model endpoint automatically handles incoming requests and charges only for active compute time. This approach is ideal for APIs serving ML predictions, chatbot backends, and image generation endpoints.
Base GPU pricing: $0.35/hr.
Try the serverless inference API at Latitude.sh official website.
More FAQs about Latitude.sh
- What makes Latitude.sh different from other cloud GPU providers?
- What do users say about Latitude.sh on Trustpilot?
- Does Latitude.sh support Hugging Face, vLLM, or other inference frameworks?
- Can I SSH into GPU instances at Latitude.sh?
- How reliable is Latitude.sh infrastructure?
- Does Latitude.sh support multi-node GPU clusters?
- Does Latitude.sh provide interruptible GPU instances at lower prices?
- What are the data transfer and storage fees at Latitude.sh?
- What free credits or promotional offers does Latitude.sh provide?
- What GPU hardware can I rent from Latitude.sh?
- What does it cost to rent a GPU from Latitude.sh?
Guides Where Latitude.sh Is Featured
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- Cloud GPU Providers with API & CLI Management
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- Cloud GPU Providers with Free Credits
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- 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 Massed Compute vs DigitalOcean - GPU Provider Comparison (March 2026)
Side-by-side comparison of Latitude.sh vs Massed Compute vs DigitalOcean. 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 March 2026.
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Latitude.sh
Bare metal GPU cloud across 23 global locations
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Massed Compute
GPU cloud with direct engineer support
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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|---|---|---|---|
| Overview | |||
| Trustpilot Rating | 3.7 | 0 | 4.6 |
| Headquarters | Brazil | United States | United States |
| Provider Type | Bare Metal | GPU-Focused | N/A |
| Best For | AI training inference bare metal GPU fine-tuning research dedicated workloads generative AI | AI training inference VFX rendering generative AI fine-tuning HPC Stable Diffusion research | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research |
| GPU Hardware | |||
| GPU Models | A30 RTX A5000 RTX A6000 L40S RTX 6000 Ada A100 SXM H100 SXM GH200 RTX PRO 6000 | A30 RTX A5000 RTX A6000 L40S A100 SXM H100 PCIe H100 SXM H100 NVL RTX PRO 6000 H200 NVL | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Max VRAM (GB) | 96 | 141 | 192 |
| Max GPUs/Instance | 8 | 8 | 8 |
| Interconnect | NVLink | NVLink | NVLink |
| Pricing | |||
| Starting Price ($/hr) | $0.35/hr | $0.35/hr | $0.76/hr |
| Billing Granularity | Per-hour | Per-minute | Per-second |
| Spot/Preemptible | 0 | 0 | 0 |
| Reserved Discounts | N/A | N/A | N/A |
| Free Credits | $200 via referral program | None | $200 free credit for 60 days |
| Egress Fees | None | None | None (included in plan) |
| Storage | Local NVMe included (up to 4x 3.8TB), Block Storage $0.10/GB/mo, Filesystem Storage $0.05/GB/mo | Local NVMe included with instances | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo |
| Infrastructure | |||
| Regions | 23 locations: US (8 cities), LATAM (5), Europe (5), APAC (4), Mexico City. GPU in Dallas, Frankfurt, Sydney, Tokyo | United States (Tier III data centers) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| Uptime SLA | 99.9% | Tier III (99.98% design) | 99% |
| Developer Experience | |||
| Frameworks | ML-optimized images PyTorch TensorFlow (user-installed) CUDA | PyTorch TensorFlow CUDA cuDNN ComfyUI pre-configured ML templates | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Docker Support | 1 | 1 | 1 |
| SSH Access | 1 | 1 | 1 |
| Jupyter Notebooks | 0 | 0 | 1 |
| API / CLI | 1 | 1 | 1 |
| Setup Time | Seconds | Minutes | Minutes |
| Kubernetes Support | 0 | 0 | 1 |
| Business Terms | |||
| Min Commitment | None | None | None |
| Compliance | Single-tenant isolation DPA available | SOC 2 Type II HIPAA | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 |