Prices updated 2026-06-23 — sourced from live provider data

Lambda Labs A10G Pricing Options

All available A10G instance types on Lambda Labs, sorted by lowest hourly rate.

Region Instance Type Price/hr GPUs vCPUs RAM
us-east-1 gpu_1x_a10 On-Demand $1.2900/hr Cheapest 1× GPU 30 vCPU 200 GB
us-east-1 gpu_4x_a10 On-Demand $2.4000/hr 4× GPU 120 vCPU 800 GB
us-east-1 gpu_8x_a10 On-Demand $4.8000/hr 8× GPU 240 vCPU 1600 GB

About Lambda Labs A10G Cloud Pricing

Lambda Labs provides GPU cloud and on-premise solutions specifically designed for deep learning. Their cloud instances come pre-configured with Lambda Stack — a curated ML software stack including PyTorch, TensorFlow, and CUDA drivers.

Why Choose Lambda Labs for A10G

  • Pre-installed Lambda Stack with optimized ML frameworks
  • Simple per-GPU pricing without complex instance configurations
  • On-demand availability without long-term commitments
  • On-premise GPU clusters available for purchase

Best suited for: ML researchers and small teams who want to start training immediately without spending hours on environment setup.

A10G Technical Overview

ArchitectureAmpere
Memory24 GB GDDR6
Best ForInference workloads, real-time inference APIs, and cost-efficient model serving

The A10G is an inference-focused GPU commonly used in AWS G5 instances. It offers a good balance of Tensor Core performance and VRAM for serving models up to ~7B parameters.

Pricing Analysis

Lambda Labs's cheapest A10G option starts at $1.2900/hr, which is 13% below the market average of $1.4859/hr. Lambda Labs currently offers on-demand pricing only for A10G. This means no commitment required, but you won't access the deeper discounts available from reserved or spot pricing.

Note: Lambda Labs pricing is competitive for on-demand usage, though they don't offer the deep reserved/spot pricing tiers that hyperscalers provide.

Market context: A10G is widely available through AWS and other providers, making it a reliable choice for production inference deployments.

Top Alternatives to Lambda Labs for A10G

Side-by-side cost comparison vs the cheapest Lambda Labs A10G rate ($1.2900/hr).

Provider Price/hr Type vs Lambda Labs
Vast.ai $0.1800/hr Spot -86% cheaper vs Lambda Labs
RunPod $0.2800/hr Spot -78% cheaper vs Lambda Labs
TensorDock $0.3500/hr Spot -73% cheaper vs Lambda Labs
Vultr $0.6500/hr On-Demand -50% cheaper vs Lambda Labs
Lepton AI $0.7800/hr On-Demand -40% cheaper vs Lambda Labs

View all A10G providers →

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Frequently Asked Questions

How much does Lambda Labs A10G cost per hour in 2026? +
Lambda Labs A10G starts at $1.2900/hr (on-demand). This is below the A10G market average of $1.4859/hr — Lambda Labs is among the more competitively priced options for this GPU. Lambda Labs offers 3 A10G configurations ranging from $1.2900 to $4.8000/hr. Use the GPU cost calculator to estimate total cost based on your hours and workload type.
What are the cheapest alternatives to Lambda Labs for A10G? +
There are 6 providers offering A10G cheaper than Lambda Labs: Vast.ai at $0.1800/hr, RunPod at $0.2800/hr, TensorDock at $0.3500/hr, and 3 more. See the full comparison table for all A10G providers.
Does Lambda Labs offer reserved or spot A10G pricing? +
Lambda Labs offers 1 pricing type for A10G: on-demand. With on-demand only, you pay per hour with no commitment. While you won't get reserved or spot discounts, this provides maximum flexibility for unpredictable workloads.
What workloads is Lambda Labs A10G best suited for? +
The A10G (Ampere architecture, 24 GB GDDR6) is best suited for Inference workloads, real-time inference APIs, and cost-efficient model serving. Lambda Labs is a gpu native provider — ML researchers and small teams who want to start training immediately without spending hours on environment setup.
How much does it cost to run A10G on Lambda Labs for a month? +
At Lambda Labs's cheapest A10G rate of $1.2900/hr: running 24/7 costs ~$30.96/day or ~$941.70/month per GPU. For training jobs, costs scale linearly — a 100-hour training run would cost ~$129.00. Multi-GPU configurations multiply accordingly. Use the cost calculator for precise estimates with your specific parameters.
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