Compute Comparison

Novita

Specialist Cloud

Novita is an on-demand GPU cloud offering H100, A100, and RTX instances with fast provisioning, pre-built ML environments, and a developer-friendly API for AI training and inference workloads. Competitive spot and on-demand pricing makes it accessible for startups and researchers who need quick access to high-performance GPU hardware without long-term commitments. A practical choice for teams wanting a streamlined GPU cloud experience with minimal setup friction.

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Cheapest On-Demand

$0.610/hr

Cheapest Spot

$0.250/hr

GPU Listings

4

Billing

On-demand, Spot

Performance Benchmarks

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Provider Info

Headquarters

San Francisco, CA

Founded

2023

Regions

US, EU, APAC

Min Commitment

None

Support

Community → Enterprise

Strengths

  • Competitive H100 pricing
  • Fast provisioning
  • Pre-built ML environments
  • Developer API

Limitations

  • Smaller provider — limited scale vs hyperscalers
  • Fewer regions than major cloud providers
  • Less mature ecosystem and fewer integrations

Best For

AI model trainingLLM inferenceStartups needing fast GPU access

Full GPU Catalog

GPU ModelvRAMOn-DemandSpotAvailabilityRegion
RTX 409024 GB$0.610$0.250HighUS/EU/APAC
L40S48 GB$4.68$1.82MedUS/EU/APAC
A100 80GB80 GB$8.08$2.87HighUS/EU/APAC
H100 80GB80 GB$20.63$8.31MedUS/EU/APAC

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Novita GPU pricing overview

Novita is a specialist GPU cloud provider headquartered in San Francisco, CA. Novita is an on-demand GPU cloud offering H100, A100, and RTX instances with fast provisioning, pre-built ML environments, and a developer-friendly API for AI training and inference workloads. Competitive spot and on-demand pricing makes it accessible for startups and researchers who need quick access to high-performance GPU hardware without long-term commitments. A practical choice for teams wanting a streamlined GPU cloud experience with minimal setup friction. Billing is On-demand, Spot with a minimum commitment of None. Available regions include US, EU, APAC. On-demand GPU instances can be provisioned in minutes with no upfront cost, making Novita suitable for both short-duration experiments and sustained production workloads.

Novita vs other GPU providers

Novita competes with providers including Lambda Labs, CoreWeave, RunPod, Paperspace, Vast.ai, and the major hyperscalers (AWS, Google Cloud, Azure) for GPU compute workloads spanning LLM training, fine-tuning, and inference serving. Key differentiators include: Competitive H100 pricing; Fast provisioning; Pre-built ML environments. Use the side-by-side comparison tool above to see Novita pricing against any other provider across shared GPU models. For a broader market view, the live GPU prices table shows all 4 Novita listings alongside 94+ providers in a single sortable view.

Best use cases for Novita

Novita is best suited for: AI model training, LLM inference, Startups needing fast GPU access. Support tiers range from Community → Enterprise, making it viable for both individual researchers and enterprise teams with SLA requirements. There are currently 4 active GPU listings on Novita, covering H100 80GB, A100 80GB, RTX 4090, L40S. For workloads requiring the highest single-GPU throughput, H100 SXM5 instances with NVLink interconnect deliver the best performance per dollar at scale. For cost-sensitive fine-tuning or inference of models up to 13B parameters, A100 40GB or RTX 4090 instances typically offer the best value.

Novita billing model and cost structure

Novita uses On-demand, Spot pricing. On-demand instances are billed per second or per hour depending on the instance type, with no termination fees. Spot (interruptible) instances are available from $0.25/hr — typically 40–70% cheaper than on-demand rates, suitable for fault-tolerant training jobs with checkpointing. Reserved instance pricing, where available, can reduce costs by 30–60% for predictable long-running workloads. Always compare the effective hourly rate including egress, storage, and networking costs when evaluating total cost of ownership across providers.

Choosing the right GPU on Novita

GPU selection depends on model size, precision, and whether your workload is compute-bound or memory-bandwidth-bound. For LLM training above 30B parameters, H100 80GB SXM5 instances with NVLink are the standard choice — the 3,350 GB/s HBM3 bandwidth and 989 TFLOPS FP16 throughput make them 2–2.5× faster than A100 for transformer workloads. For inference of 7B–13B models in FP16 or BF16, A100 40GB offers the best cost-per-token on most providers. RTX 4090 instances are ideal for fine-tuning, prototyping, and quantized inference (INT4/INT8) of models up to 70B. Read the H100 vs A100 guide or the GPU benchmarks for ML guide for a full breakdown.

How Novita pricing data is collected

Prices shown are sourced from Novita's public pricing API or pricing page and refreshed every 15 minutes. On-demand rates reflect the current list price for a single GPU instance in the cheapest available region. Spot prices, where available, reflect interruptible instance rates at the time of the last snapshot. All prices are in USD per hour. Daily snapshots are retained for 90 days and visualised in the GPU price history charts — useful for identifying seasonal pricing patterns and evaluating whether current rates are above or below the 30-day average.

Evaluating managed LLM inference APIs as an alternative to self-hosted GPU compute? Compare live LLM token prices across OpenAI, Anthropic, Google, Groq, and 14+ other providers. The cheapest GPU cloud guide covers the break-even analysis between self-hosted and managed inference at different request volumes.

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On-demand from $0.610/hr — 4 GPU configurations available. On-demand, Spot billing.

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