Hyperstack vs Oracle Cloud: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Hyperstack and Oracle Cloud. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Hyperstack (by NexGen Cloud) is a full-stack AI cloud offering NVIDIA GB200 NVL72, GB300 NVL72, HGX B200, HGX B300, H200 SXM, H100 SXM, H100 NVLink, H100 PCIe, A100 SXM, A100, L40, RTX A6000, RTX A4000, and RTX Pro 6000 SE instances with per-minute billing. Reservation and spot VMs available. 100% renewable energy. Managed Kubernetes, object storage, Terraform, Go/Python SDKs, LLM Inference Toolkit.
- B300, B200, H200 — competitive Blackwell and Hopper pricing
- A4000 — cheapest enterprise GPU for light workloads
- Per-minute billing — pay only for what you use
- 100% renewable energy across all data centers
- Wide GPU catalog: 13 SKUs from A4000 to GB300 NVL72
- Managed Kubernetes, Terraform, Go/Python SDKs, LLM Inference Toolkit
- Smaller provider — limited scale vs CoreWeave or hyperscalers
- Fewer regions than major cloud providers
- B300 on-demand not yet available (reserved private clusters only as of Sept 2026)
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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.
- 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
- Smaller ecosystem and fewer ML tooling integrations vs AWS/GCP
- Support quality inconsistent outside enterprise tiers
- AMD GPU availability limited vs NVIDIA options
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Key differences
Hyperstack
B300, B200, H200, H100 — per-minute billing, 100% renewable energy
Oracle Cloud
GB200 NVL72 superclusters up to 131,072 GPUs — NVIDIA and AMD GPU catalog across hyperscale and bare-metal