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SpheronvsTensorWave

Spheron vs TensorWave: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Spheron
TensorWave
Provider type
Marketplace
Specialist
Founded
2022
2023
Headquarters
United States
Phoenix, AZ
Billing model
On-demand (per-minute), Spot, Reserved
On-demand, Reserved
Min commitment
20-minute minimum runtime
None
Support tier
Community → Standard
Standard → Enterprise
Regions
3 regions
1 regions

Strengths & Best For

Spheron

Spheron is a GPU marketplace sourcing from certified data center partners globally. GPU catalog: B300 Blackwell, B200 Blackwell, H200, H100, MI300X, GH200, A100, RTX PRO 6000, RTX 5090, L40S, RTX 4090 — on-demand and spot. GB200 and GB300 available to reserve. NVIDIA R100 Rubin (288 GB HBM4) pre-order. Per-minute billing, 20-minute minimum. Accepts USDT/USDC.

Strengths
  • B300, H100, RTX 4090 — competitive live pricing
  • Spot pricing available on H200, H100, A100
  • MI300X — AMD high-VRAM option
  • NVIDIA R100 Rubin pre-order available
  • Per-minute billing, 20-minute minimum, no contracts
  • Accepts USDT and USDC crypto payments
Weaknesses
  • Marketplace model — hardware consistency varies by partner
  • 20-minute minimum runtime (not per-second)
  • No enterprise SLAs
Best For
Cost-sensitive AI workloads needing multi-provider flexibilityTeams wanting vetted marketplace GPU accessSpot-tolerant batch training and inferenceCrypto-native teams
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TensorWave

TensorWave specializes in AMD Instinct MI300X and MI325X GPU instances — the highest-memory GPU accelerators available in any cloud — offering a compelling NVIDIA alternative for large-model LLM inference and distributed AI training via the ROCm ecosystem. On-demand and reserved billing options are available from US-based data centers, with competitive pricing relative to equivalent NVIDIA H100 configurations. The go-to on-demand GPU cloud for teams exploring AMD ROCm or needing massive VRAM for large-context inference.

Strengths
  • AMD MI300X/MI325X — highest VRAM in any cloud
  • NVIDIA alternative via ROCm ecosystem
  • Competitive pricing vs equivalent H100 configs
  • Large-context inference capability
Weaknesses
  • AMD ROCm ecosystem less mature than CUDA
  • Smaller provider — limited scale vs hyperscalers
  • Fewer regions — US-only
Best For
AMD ROCm workloadsLarge-model inference needing maximum VRAMTeams exploring NVIDIA alternatives
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TensorWave Rating

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Live GPU Pricing

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Region Coverage

Spheron — 3 regions
USEUAPAC
TensorWave — 1 regions
US-West

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Provider pages

Spheron pricing and specs TensorWave pricing and specs

Key differences

Spheron

B300, H100, B200, H200 — per-minute billing, 20-min minimum

TensorWave

AMD MI300X and MI325X GPU cloud — highest-VRAM accelerators for large-model inference

AttributeSpheronTensorWave
Provider typemarketplacespecialist
Billing modelOn-demand (per-minute), Spot, ReservedOn-demand, Reserved
Min commitment20-minute minimum runtimeNone
Regions3 (US, EU, APAC)1 (US-West)
Support tierCommunity → StandardStandard → Enterprise
Best forCost-sensitive AI workloads needing multi-provider flexibility, Teams wanting vetted marketplace GPU accessAMD ROCm workloads, Large-model inference needing maximum VRAM
Founded / HQ2022 · United States2023 · Phoenix, AZ