NVIDIA A16 vs NVIDIA B300 — GPU Comparison (Jul 2026)
NVIDIA A16 (64GB GDDR6, 72 TFLOPS FP16, Ampere) vs NVIDIA B300 (288GB HBM3e, 2,250 TFLOPS FP16, Blackwell Ultra). 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 B300
NVIDIA B300 comes out ahead overall, leading in 5 of 6 compared categories.
Where NVIDIA A16 leads
- TDP (250W vs 1400W)
Where NVIDIA B300 leads
- FP16 (2,250 TFLOPS vs 72 TFLOPS)
- VRAM (288 GB vs 64 GB)
- Memory Bandwidth (8,000 GB/s vs 800 GB/s)
- FP32 (75 TFLOPS vs 18 TFLOPS)
- Release Year (2025 vs 2021)
Choose NVIDIA A16 for Virtual desktops, lightweight inference, video streaming. Choose NVIDIA B300 for Frontier AI training, largest model workloads.
Frequently Asked Questions
Is NVIDIA A16 or NVIDIA B300 better?
Which has a better FP16, NVIDIA A16 or NVIDIA B300?
Which has a better VRAM, NVIDIA A16 or NVIDIA B300?
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NVIDIA A16
64GB GDDR6 · Ampere
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NVIDIA B300
288GB HBM3e · Blackwell Ultra
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Blackwell Ultra | |
| VRAM | 64 GB GDDR6 | 288 GB HBM3e | |
| Memory Bandwidth | 800 GB/s | 8,000 GB/s | |
| FP16 (Tensor) | 72.0 TFLOPS | 2250.0 TFLOPS | |
| FP32 | 18.0 TFLOPS | 75.0 TFLOPS | |
| TDP | 250W | 1400W | |
| Release Year | 2021 | 2025 | |
| Segment | Data center | Data center | |
| Best For | Virtual desktops lightweight inference video streaming | Frontier AI training largest model workloads | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.47/hr | — | |
| Cheapest Spot | — | — | |
| Providers | 2 | 1 | |
| Provider Pricing (On-Demand) | |||
|
$0.47/hr | N/A | |
|
$0.50/hr | N/A | |
NVIDIA A16
NVIDIA B300
Related GPU Comparisons
Top Providers for NVIDIA A16 and NVIDIA B300
These 2 providers offer both NVIDIA A16 and NVIDIA B300. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Vultr vs Cherry Servers - GPU Provider Comparison (July 2026)
Head-to-head comparison of Vultr and Cherry Servers. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed July 2026.
Bottom Line: Vultr vs Cherry Servers
Vultr comes out ahead overall, leading in 8 of 11 compared categories.
Where Vultr leads
- Max VRAM (GB) (288 vs 80)
- Uptime SLA (100% vs 99.97%)
- Max GPUs/Instance (16 vs 2)
- GPU Models (12 vs 6)
- Spot/Preemptible
- Frameworks (7 vs 3)
Where Cherry Servers leads
- Trustpilot Rating (4.4 vs 1.7)
- Starting Price ($/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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