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Modal vs Oracle Cloud: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Hyperscaler
Founded
2021
2016
Headquarters
New York, NY
Austin, TX
Billing model
Per-second serverless
Pay-as-you-go, Annual Flex, Try-before-you-buy (MI355X)
Min commitment
None
None (pay-as-you-go)
Support tier
Community → Enterprise
Basic → Premier
Regions
3 regions
5 regions

Strengths & Best For

Modal

Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.

Strengths
  • B300, B200, H200 — competitive Blackwell/Hopper pricing
  • Per-second billing with zero idle cost — no minimum hours
  • Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
  • Python-native SDK — no infra management
  • Starter and Team plans include free monthly compute credits
  • SOC 2, HIPAA, data residency controls
Weaknesses
  • Less control over underlying infrastructure vs raw VMs
  • Pricing can be unpredictable for sustained high-throughput workloads
  • Smaller GPU catalog than dedicated cluster providers
Best For
ML engineers wanting zero-ops GPU infrastructureServerless LLM inference and multi-modal workloadsRL rollouts and AI agent sandboxes at scaleTeams wanting one platform from prototype to production
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Modal Rating

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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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Oracle Cloud Rating

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Live GPU Pricing

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Region Coverage

Modal — 3 regions
US-EastUS-WestEU
Oracle Cloud — 5 regions
us-ashburn-1us-phoenix-1eu-frankfurt-1ap-tokyo-1ap-sydney-1

Popular Comparisons

Key differences

Modal

B300, B200, H200, H100 — serverless GPU, per-second billing

Oracle Cloud

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

AttributeModalOracle Cloud
Provider typespecialisthyperscaler
Billing modelPer-second serverlessPay-as-you-go, Annual Flex, Try-before-you-buy (MI355X)
Min commitmentNoneNone (pay-as-you-go)
Regions3 (US-East, US-West, EU)5 (us-ashburn-1, us-phoenix-1, eu-frankfurt-1, +2)
Support tierCommunity → EnterpriseBasic → Premier
Best forML engineers wanting zero-ops GPU infrastructure, Serverless LLM inference and multi-modal workloadsHyperscale AI training on GB200 superclusters, Large-model inference on AMD MI300X/MI355X (192 GB VRAM)
Founded / HQ2021 · New York, NY2016 · Austin, TX