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Hot Aisle vs Novita: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Bare-metal
Specialist
Founded
2020
2023
Headquarters
United Kingdom
San Francisco, CA
Billing model
Monthly / On-demand
Per-token (inference), On-demand / Spot (GPU cloud)
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

Hot Aisle

Hot Aisle provides bare-metal H100, A100, and RTX GPU servers with no virtualization overhead and dedicated hardware for AI training and HPC workloads, based in the UK. Monthly and on-demand billing options are available for teams that need consistent, dedicated GPU performance without shared-tenancy concerns. A strong bare-metal GPU option for UK-based HPC teams and AI labs that need maximum hardware performance and full control over their compute environment.

Strengths
  • Bare-metal performance
  • No virtualization overhead
  • UK presence
Weaknesses
  • Bare-metal only — requires more infrastructure management
  • Limited self-service tooling
  • Smaller ecosystem vs cloud providers
Best For
HPC workloadsDedicated trainingPerformance-critical AI
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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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Key differences

Hot Aisle

Bare-metal GPU infrastructure

Novita

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

AttributeHot AisleNovita
Provider typebare-metalspecialist
Billing modelMonthly / On-demandPer-token (inference), On-demand / Spot (GPU cloud)
Min commitmentNoneNone
Regions1 (UK)3 (US, EU, APAC)
Support tierStandardCommunity → Enterprise
Best forHPC workloads, Dedicated trainingCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendor
Founded / HQ2020 · United Kingdom2023 · San Francisco, CA