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Latitude.shvsOracle Cloud

Latitude.sh vs Oracle Cloud: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Latitude.sh and Oracle Cloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
Latitude.sh
Oracle Cloud
Provider type
Bare-metal
Hyperscaler
Founded
2020
2016
Headquarters
São Paulo, Brazil
Austin, TX
Billing model
On-demand, Monthly (reserved), Yearly (reserved)
Pay-as-you-go, Annual Flex, Try-before-you-buy (MI355X)
Min commitment
None
None (pay-as-you-go)
Support tier
Standard → Enterprise
Basic → Premier
Regions
4 regions
5 regions

Strengths & Best For

Latitude.sh

Latitude.sh provides bare-metal GPU servers with no virtualization overhead across 26 global regions. GPU catalog: HGX B300 (8×, 2304 GB VRAM, 800 Gbps dual-plane RoCE), RTX PRO 6000 (8×, 768 GB VRAM), H100 80GB. Monthly and yearly reserved pricing tiers are available at lower rates than on-demand hourly. 20 TB free outbound transfer per server. Automated bare-metal with Kubernetes (LKS), virtual machines, managed Postgres, and private networking. SOC 2 Type 2 certified. AMD EPYC Gen 4 CPUs with DDR5 RAM and NVMe storage.

Strengths
  • HGX B300 (8-GPU) — latest Blackwell bare-metal
  • RTX PRO 6000 (8-GPU) — 768 GB VRAM for large inference
  • H100 — competitive single-GPU bare-metal
  • 20 TB free outbound transfer per server
  • 26 global regions including Brazil (LATAM coverage)
  • Monthly and yearly reserved pricing tiers available
Weaknesses
  • Bare-metal only — no managed Kubernetes or MLOps tooling beyond LKS
  • Limited GPU catalog (3 GPU SKUs)
  • Fewer regions than hyperscalers
Best For
Performance-critical workloads needing bare-metalLatency-sensitive inference with no virtualization overheadLATAM teams needing Brazil regionTeams wanting automated bare-metal with Kubernetes
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Oracle Cloud

Oracle Cloud Infrastructure (OCI) offers a wide GPU catalog across hyperscaler and bare-metal tiers: NVIDIA GB200 Grace Blackwell Superchips in superclusters scaling to 131,072 GPUs, HGX B200, H200, H100, L40S, A100, A10, and AMD Instinct MI355X, MI300X, and MI325X. Bare-metal instances deliver full hardware performance with no virtualization overhead. RDMA cluster networking provides up to 3,200 Gbps bandwidth. NVIDIA DGX Cloud on OCI provides serverless AI training. OCI Supercluster delivers 20 exaflops aggregate. AMD MI355X available via try-before-you-buy program.

Strengths
  • GB200 NVL72 superclusters scaling to 131,072 GPUs
  • AMD MI355X — 192 GB VRAM for large-model inference
  • Bare-metal instances — no virtualization overhead
  • NVIDIA DGX Cloud on OCI for serverless AI training
  • 3,200 Gbps RDMA cluster networking
  • AMD MI300X and MI325X available alongside NVIDIA catalog
Weaknesses
  • Smaller ecosystem and fewer ML tooling integrations vs AWS/GCP
  • Support quality inconsistent outside enterprise tiers
  • AMD GPU availability limited vs NVIDIA options
Best For
Hyperscale AI training on GB200 superclustersLarge-model inference on AMD MI300X/MI355X (192 GB VRAM)Oracle database workloads with AICost-sensitive enterprise teams comparing hyperscaler pricing
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Region Coverage

Latitude.sh — 4 regions
US-EastEU-WestBR-SouthVarious (26 regions)
Oracle Cloud — 5 regions
us-ashburn-1us-phoenix-1eu-frankfurt-1ap-tokyo-1ap-sydney-1

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Provider pages

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Key differences

Latitude.sh

HGX B300, RTX PRO 6000, H100 — bare-metal in 26 regions

Oracle Cloud

GB200 NVL72 superclusters up to 131,072 GPUs — NVIDIA and AMD GPU catalog across hyperscale and bare-metal

AttributeLatitude.shOracle Cloud
Provider typebare-metalhyperscaler
Billing modelOn-demand, Monthly (reserved), Yearly (reserved)Pay-as-you-go, Annual Flex, Try-before-you-buy (MI355X)
Min commitmentNoneNone (pay-as-you-go)
Regions4 (US-East, EU-West, BR-South, +1)5 (us-ashburn-1, us-phoenix-1, eu-frankfurt-1, +2)
Support tierStandard → EnterpriseBasic → Premier
Best forPerformance-critical workloads needing bare-metal, Latency-sensitive inference with no virtualization overheadHyperscale AI training on GB200 superclusters, Large-model inference on AMD MI300X/MI355X (192 GB VRAM)
Founded / HQ2020 · São Paulo, Brazil2016 · Austin, TX