NVIDIA A2 vs NVIDIA Tesla T4 — GPU Comparison (Apr 2026)
NVIDIA A2 (16GB GDDR6, 18 TFLOPS FP16, Ampere) vs NVIDIA Tesla T4 (16GB GDDR6, 65 TFLOPS FP16, Turing). Cloud pricing: NVIDIA A2 from $0.22/hr, NVIDIA Tesla T4 from $0.08/hr. Compare specs, VRAM, performance, and pricing across 2 cloud providers to find the best GPU for your AI workload.
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NVIDIA A2
16GB GDDR6 · Ampere
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NVIDIA Tesla T4
16GB GDDR6 · Turing
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ampere | Turing | |
| VRAM | 16 GB GDDR6 | 16 GB GDDR6 | |
| Memory Bandwidth | 200 GB/s | 320 GB/s | |
| FP16 (Tensor) | 18.0 TFLOPS | 65.0 TFLOPS | |
| FP32 | 4.5 TFLOPS | 8.1 TFLOPS | |
| TDP | 60W | 70W | |
| Release Year | 2021 | 2018 | |
| Segment | Data center | Data center | |
| Best For | Edge inference entry-level AI | Budget inference video transcoding lightweight ML | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.22/hr | $0.08/hr | |
| Cheapest Spot | — | — | |
| Providers | 1 | 1 | |
| Provider Pricing (On-Demand) | |||
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$0.22/hr | N/A | |
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N/A | $0.08/hr | |
Top Providers for NVIDIA A2 and NVIDIA Tesla T4
These 2 providers offer both NVIDIA A2 and NVIDIA Tesla T4. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Vast.ai vs Cherry Servers - GPU Provider Comparison (April 2026)
Head-to-head comparison of Vast.ai and Cherry Servers. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed April 2026.
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Vast.ai
Instant GPUs. Transparent Pricing.
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Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
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|---|---|---|
| Overview | ||
| Trustpilot Rating | 4.4 | 4.6 |
| Headquarters | United States | Lithuania |
| Provider Type | GPU Marketplace | N/A |
| Best For | AI training inference fine-tuning Stable Diffusion batch processing research LLM serving generative AI | AI training inference fine-tuning rendering research HPC generative AI deep learning |
| GPU Hardware | ||
| GPU Models | B200 H200 H100 SXM H100 NVL A100 SXM A100 PCIe RTX 5090 RTX 5080 RTX 5070 Ti RTX 6000 Pro RTX 6000 Ada RTX 4500 Ada RTX A6000 RTX A5000 RTX A4000 L40S L40 A40 A10 RTX 4090 RTX 4080 RTX 4070 Ti RTX 4070 RTX 4060 Ti RTX 4060 RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 Ti RTX 3070 Tesla V100 Tesla T4 A2 GTX 1080 | A100 A40 A16 A10 A2 Tesla P4 |
| Max VRAM (GB) | 192 | 80 |
| Max GPUs/Instance | 8 | 2 |
| Interconnect | NVLink, InfiniBand | PCIe |
| Pricing | ||
| Starting Price ($/hr) | $0.06/hr | $0.16/hr |
| Billing Granularity | Per-second | Per-hour |
| Spot/Preemptible | Yes | No |
| Reserved Discounts | Up to 50% (1-6 month reserved) | N/A |
| Free Credits | Small test credit on signup | None |
| Egress Fees | Varies by host ($/TB) | N/A |
| Storage | Varies by host ($/GB/hr, charged while instance exists) | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) |
| Infrastructure | ||
| Regions | 500+ locations, 40+ data centers | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) |
| Uptime SLA | No formal SLA (host reliability scores visible) | 99.97% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA vLLM ComfyUI | 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 | Seconds | Minutes |
| Kubernetes Support | No | Yes |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | SOC 2 Type 2 HIPAA GDPR CCPA | ISO 27001 ISO 20000-1 GDPR PCI DSS |
Cherry Servers
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