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Novita vs Spheron: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Novita
Spheron
Provider type
Specialist
Marketplace
Founded
2023
2022
Headquarters
San Francisco, CA
United States
Billing model
Per-token (inference), On-demand / Spot (GPU cloud)
On-demand (per-minute), Spot, Reserved
Min commitment
None
20-minute minimum runtime
Support tier
Community → Enterprise
Community → Standard
Regions
3 regions
3 regions

Strengths & Best For

Novita

Novita has grown into a dual-product platform: a GPU cloud for training and fine-tuning (H100 SXM, A100, RTX 4090) and a high-volume LLM inference API serving 100+ open-source models at some of the lowest per-token rates in the market. In 2025–2026 Novita expanded its model catalog to include Llama 3.1/3.2, Qwen 2.5, DeepSeek V3/R1, and Mistral variants, and introduced batch inference pricing for high-volume workloads at up to 50% discount. The GPU cloud side offers fast provisioning (typically under 3 minutes), pre-built Docker environments for PyTorch and JAX, and persistent storage volumes. A practical choice for cost-conscious teams that want both raw GPU access and a cheap inference API from one provider.

Strengths
  • Among the lowest per-token LLM inference pricing in the market
  • Batch inference API at up to 50% discount for high-volume workloads
  • 100+ open-source models including Llama 3.2, Qwen 2.5, DeepSeek R1
  • Fast GPU provisioning — typically under 3 minutes
  • Pre-built PyTorch and JAX environments reduce setup time
Weaknesses
  • Smaller provider — cluster scale limited vs CoreWeave or Lambda for very large jobs
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Less mature enterprise support and SLA options
Best For
Cost-optimized LLM inference at scaleStartups needing cheap inference API + GPU training from one vendorBatch processing workloads with high token volumesTeams fine-tuning Llama or Qwen on a budget
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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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Live GPU Pricing

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Region Coverage

Novita — 3 regions
USEUAPAC
Spheron — 3 regions
USEUAPAC

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Provider pages

Novita pricing and specs Spheron pricing and specs

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Key differences

Novita

GPU cloud and LLM inference API — H100, A100, and 100+ open-source models

Spheron

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

AttributeNovitaSpheron
Provider typespecialistmarketplace
Billing modelPer-token (inference), On-demand / Spot (GPU cloud)On-demand (per-minute), Spot, Reserved
Min commitmentNone20-minute minimum runtime
Regions3 (US, EU, APAC)3 (US, EU, APAC)
Support tierCommunity → EnterpriseCommunity → Standard
Best forCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendorCost-sensitive AI workloads needing multi-provider flexibility, Teams wanting vetted marketplace GPU access
Founded / HQ2023 · San Francisco, CA2022 · United States