NVIDIA A16 vs NVIDIA GH200 Superchip — GPU Comparison (Jul 2026)
NVIDIA A16 (64GB GDDR6, 72 TFLOPS FP16, Ampere) vs NVIDIA GH200 Superchip (96GB HBM3, 989 TFLOPS FP16, Hopper). 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.
Bottom Line: NVIDIA A16 vs NVIDIA GH200 Superchip
NVIDIA GH200 Superchip comes out ahead overall, leading in 5 of 6 compared categories.
Where NVIDIA A16 leads
- TDP (250W vs 700W)
Where NVIDIA GH200 Superchip leads
- FP16 (989 TFLOPS vs 72 TFLOPS)
- VRAM (96 GB vs 64 GB)
- Memory Bandwidth (4,000 GB/s vs 800 GB/s)
- FP32 (494.5 TFLOPS vs 18 TFLOPS)
- Release Year (2023 vs 2021)
Choose NVIDIA A16 for Virtual desktops, lightweight inference, video streaming. Choose NVIDIA GH200 Superchip for Large-scale AI training, HPC.
Frequently Asked Questions
Is NVIDIA A16 or NVIDIA GH200 Superchip better?
Which has a better FP16, NVIDIA A16 or NVIDIA GH200 Superchip?
Which has a better VRAM, NVIDIA A16 or NVIDIA GH200 Superchip?
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NVIDIA A16
64GB GDDR6 · Ampere
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NVIDIA GH200 Superchip
96GB HBM3 · Hopper
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Hopper | |
| VRAM | 64 GB GDDR6 | 96 GB HBM3 | |
| Memory Bandwidth | 800 GB/s | 4,000 GB/s | |
| FP16 (Tensor) | 72.0 TFLOPS | 989.0 TFLOPS | |
| FP32 | 18.0 TFLOPS | 494.5 TFLOPS | |
| TDP | 250W | 700W | |
| Release Year | 2021 | 2023 | |
| Segment | Data center | Data center | |
| Best For | Virtual desktops lightweight inference video streaming | Large-scale AI training HPC | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.47/hr | — | |
| Cheapest Spot | — | — | |
| Providers | 2 | 0 | |
| Provider Pricing (On-Demand) | |||
|
$0.47/hr | N/A | |
|
$0.50/hr | N/A | |
NVIDIA A16
NVIDIA GH200 Superchip
Related GPU Comparisons
Top Providers for NVIDIA A16 and NVIDIA GH200 Superchip
These 2 providers offer both NVIDIA A16 and NVIDIA GH200 Superchip. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Vultr vs Cherry Servers - GPU Provider Comparison (July 2026)
Head-to-head comparison of Vultr and Cherry Servers. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed July 2026.
Bottom Line: Vultr vs Cherry Servers
Vultr comes out ahead overall, leading in 8 of 11 compared categories.
Where Vultr leads
- Max VRAM (GB) (288 vs 80)
- Uptime SLA (100% vs 99.97%)
- Max GPUs/Instance (16 vs 2)
- GPU Models (12 vs 6)
- Spot/Preemptible
- Frameworks (7 vs 3)
Where Cherry Servers leads
- Trustpilot Rating (4.4 vs 1.7)
- Starting Price ($/hr) ($0.16/hr vs $0.47/hr)
- Regions (6 vs 5)
Choose Vultr for AI training, inference, video rendering. Choose Cherry Servers for AI training, inference, fine-tuning.
Frequently Asked Questions
Is Vultr or Cherry Servers better?
Which has a better Trustpilot Rating, Vultr or Cherry Servers?
Which has a better Starting Price ($/hr), Vultr or Cherry Servers?
|
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 | 1.7 | 4.4 |
| 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
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