NVIDIA GeForce RTX 3090 for fine-tuning — is it fast enough?

💡 Answer

Compute specs on NVIDIA GeForce RTX 3090: 142 FP16 TFLOPS, 35.6 FP32 TFLOPS, with 936 GB/s of memory bandwidth on a 24 GB Ampere package.

In practice, that's enough horsepower to handle large-batch FP16 pre-training with near-peak utilisation and to sustain production inference on large language models under typical batch-serving patterns. Performance-per-dollar is competitive at $0.12 per hour cloud pricing, especially for teams that can push batch sizes to fully saturate tensor cores.

Top cloud providers offering NVIDIA GeForce RTX 3090: Vast.ai (from $0.12/hr), Novita AI, and RunPod. Start comparing live rates.

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Vast.ai vs RunPod vs Novita AI - GPU Provider Comparison (April 2026)

Side-by-side comparison of Vast.ai vs RunPod vs Novita AI. Quickly compare GPU models, hourly pricing, spot instances, billing granularity, VRAM, regions, developer tools, Kubernetes support, and compliance to narrow down your cloud GPU provider shortlist. Data updated April 2026.

Vast.ai vs RunPod vs Novita AI - GPU Provider Comparison (April 2026)
Vast.ai
Instant GPUs. Transparent Pricing.
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RunPod
The cloud built for AI — deploy and scale GPU workloads from serverless inference to instant multi-node clusters on demand.
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Novita AI
AI & Agent Cloud platform with 200+ model APIs, GPU instances, and serverless inference at scale.
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Overview
Trustpilot Rating 4.4 3.7 3.3
Headquarters United States United States United States
Provider Type GPU Marketplace GPU-Focused GPU-Focused
Best For AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI AI training inference fine-tuning Stable Diffusion batch processing rendering research LLM serving generative AI AI training inference fine-tuning generative AI research LLM serving Stable Diffusion
GPU Hardware
GPU Models B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 H100 SXM A100 SXM L40S RTX 4090 RTX 6000 Ada RTX 5090 RTX 3090
Max VRAM (GB) 192 288 80
Max GPUs/Instance 8 8 8
Interconnect NVLink, InfiniBand NVLink NVLink
Pricing
Starting Price ($/hr) $0.06/hr $0.06/hr $0.11/hr
Billing Granularity Per-second Per-second Per-second
Spot/Preemptible Yes Yes Yes
Reserved Discounts Up to 50% (1-6 month reserved) 15-29% (1-month to 1-year plans) N/A
Free Credits Small test credit on signup $5-$500 bonus after first $10 spend Up to $10,000 for startups
Egress Fees Varies by host ($/TB) None (Free) None (Free)
Storage Varies by host ($/GB/hr, charged while instance exists) Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo 1TB) Container disk (60GB free), volume disk, network volumes
Infrastructure
Regions 500+ locations, 40+ data centers 31 global regions US, EU, APAC, South America, Africa, Middle East (20+ locations)
Uptime SLA No formal SLA (host reliability scores visible) 99.99% 99.9%
Developer Experience
Frameworks PyTorch TensorFlow CUDA vLLM ComfyUI PyTorch TensorFlow JAX ONNX CUDA PyTorch TensorFlow CUDA cuDNN TensorRT
Docker Support Yes Yes Yes
SSH Access Yes Yes Yes
Jupyter Notebooks Yes Yes Yes
API / CLI Yes Yes Yes
Setup Time Seconds Instant N/A
Kubernetes Support No No No
Business Terms
Min Commitment None None None
Compliance SOC 2 Type 2 HIPAA GDPR CCPA SOC 2 Type II SOC 2
Vast.ai RunPod Novita AI

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