NVIDIA A10G vs NVIDIA A16 — GPU Comparison (Apr 2026)
NVIDIA A10G (24GB GDDR6, 70 TFLOPS FP16, Ampere) vs NVIDIA A16 (64GB GDDR6, 72 TFLOPS FP16, Ampere). Cloud pricing: NVIDIA A16 from $0.47/hr. Compare specs, VRAM, performance, and pricing across 2 cloud providers to find the best GPU for your AI workload.
|
NVIDIA A10G
24GB GDDR6 · Ampere
|
NVIDIA A16
64GB GDDR6 · Ampere
|
||
|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Ampere | |
| VRAM | 24 GB GDDR6 | 64 GB GDDR6 | |
| Memory Bandwidth | 600 GB/s | 800 GB/s | |
| FP16 (Tensor) | 70.0 TFLOPS | 72.0 TFLOPS | |
| FP32 | 35.0 TFLOPS | 18.0 TFLOPS | |
| TDP | 300W | 250W | |
| Release Year | 2021 | 2021 | |
| Segment | Data center | Data center | |
| Best For | Inference graphics rendering AI-accelerated workloads | Virtual desktops lightweight inference video streaming | |
| Cloud Pricing | |||
| Cheapest On-Demand | — | $0.47/hr | |
| Cheapest Spot | — | — | |
| Providers | 0 | 2 | |
| Provider Pricing (On-Demand) | |||
|
N/A | $0.47/hr | |
|
N/A | $0.50/hr | |
NVIDIA A10G
NVIDIA A16
Related GPU Comparisons
Top Providers for NVIDIA A10G and NVIDIA A16
These 2 providers offer both NVIDIA A10G and NVIDIA A16. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Vultr vs Cherry Servers - GPU Provider Comparison (April 2026)
Head-to-head comparison of Vultr and Cherry Servers. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed April 2026.
|
Vultr
High-performance cloud GPU across 32 global regions
|
Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
|
|
|---|---|---|
| Overview | ||
| Trustpilot Rating | 1.8 | 4.6 |
| Headquarters | United States | Lithuania |
| Provider Type | Multi-Cloud | N/A |
| Best For | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research | AI training inference fine-tuning rendering research HPC generative AI deep learning |
| GPU Hardware | ||
| GPU Models | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X | A100 A40 A16 A10 A2 Tesla P4 |
| Max VRAM (GB) | 288 | 80 |
| Max GPUs/Instance | 16 | 2 |
| Interconnect | NVLink | PCIe |
| Pricing | ||
| Starting Price ($/hr) | $0.47/hr | $0.16/hr |
| Billing Granularity | Per-hour | Per-hour |
| Spot/Preemptible | Yes | No |
| Reserved Discounts | N/A | N/A |
| Free Credits | Up to $300 free credit for 30 days | None |
| Egress Fees | Standard (varies by plan) | N/A |
| Storage | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) |
| Infrastructure | ||
| Regions | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) |
| Uptime SLA | 100% | 99.97% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC | PyTorch TensorFlow CUDA (bare metal — full stack control) |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | Yes | No |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Minutes |
| Kubernetes Support | Yes | Yes |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 | ISO 27001 ISO 20000-1 GDPR PCI DSS |
Vultr
Cherry Servers
Build your own comparison
Select any 2-6 firms from this guide and open them in the full comparison table.
Tip: if you do not select any firms we will start with the top 2 from this guide.