NVIDIA RTX 4000 Ada vs NVIDIA Tesla P4 — GPU Comparison (Apr 2026)
NVIDIA RTX 4000 Ada (20GB GDDR6, 107 TFLOPS FP16, Ada Lovelace) vs NVIDIA Tesla P4 (8GB GDDR5, Pascal). Cloud pricing: NVIDIA RTX 4000 Ada from $0.76/hr, NVIDIA Tesla P4 from $0.16/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 RTX 4000 Ada
20GB GDDR6 · Ada Lovelace
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NVIDIA Tesla P4
8GB GDDR5 · Pascal
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|---|---|---|---|
| Specifications | |||
| Manufacturer | NVIDIA | NVIDIA | |
| Architecture | Ada Lovelace | Pascal | |
| VRAM | 20 GB GDDR6 | 8 GB GDDR5 | |
| Memory Bandwidth | 360 GB/s | 192 GB/s | |
| FP16 (Tensor) | 107.0 TFLOPS | N/A | |
| FP32 | 26.7 TFLOPS | 5.5 TFLOPS | |
| TDP | 130W | 75W | |
| Release Year | 2023 | 2016 | |
| Segment | Professional | Data center | |
| Best For | Entry professional AI CAD visualization | Legacy inference video transcoding | |
| Cloud Pricing | |||
| Cheapest On-Demand | $0.76/hr | $0.16/hr | |
| Cheapest Spot | — | — | |
| Providers | 1 | 1 | |
| Provider Pricing (On-Demand) | |||
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$0.76/hr | N/A | |
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N/A | $0.16/hr | |
NVIDIA RTX 4000 Ada
NVIDIA Tesla P4
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These 2 providers offer both NVIDIA RTX 4000 Ada and NVIDIA Tesla P4. Full head-to-head comparison of GPU models, pricing, infrastructure, and developer tools.
Cherry Servers vs DigitalOcean - GPU Provider Comparison (April 2026)
Head-to-head comparison of Cherry Servers and DigitalOcean. Compare GPU models, hourly pricing, billing granularity, spot instances, VRAM, infrastructure, developer tools, Kubernetes support, and compliance before choosing a provider. Data refreshed April 2026.
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Cherry Servers
Bare metal GPU servers with 24 years of hosting experience and full hardware-level control.
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DigitalOcean
Simple, scalable GPU cloud for AI/ML
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|---|---|---|
| Overview | ||
| Trustpilot Rating | 4.6 | 4.6 |
| Headquarters | Lithuania | United States |
| Provider Type | N/A | N/A |
| Best For | AI training inference fine-tuning rendering research HPC generative AI deep learning | AI training inference fine-tuning LLM deployment LLM serving computer vision startups generative AI research |
| GPU Hardware | ||
| GPU Models | A100 A40 A16 A10 A2 Tesla P4 | RTX 4000 Ada RTX 6000 Ada L40S MI300X H100 SXM H200 |
| Max VRAM (GB) | 80 | 192 |
| Max GPUs/Instance | 2 | 8 |
| Interconnect | PCIe | NVLink |
| Pricing | ||
| Starting Price ($/hr) | $0.16/hr | $0.76/hr |
| Billing Granularity | Per-hour | Per-second |
| Spot/Preemptible | No | No |
| Reserved Discounts | N/A | N/A |
| Free Credits | None | $200 free credit for 60 days |
| Egress Fees | N/A | None (included in plan) |
| Storage | NVMe SSD, Elastic Block Storage ($0.071/GB/mo) | 500-720 GiB NVMe boot (included), 5 TiB NVMe scratch on larger configs, Volumes at $0.10/GiB/mo |
| Infrastructure | ||
| Regions | Lithuania, Netherlands, Germany, Sweden, US, Singapore (6 locations) | New York (NYC2), Toronto (TOR1), Atlanta (ATL1), Richmond (RIC1), Amsterdam (AMS3) |
| Uptime SLA | 99.97% | 99% |
| Developer Experience | ||
| Frameworks | PyTorch TensorFlow CUDA (bare metal — full stack control) | PyTorch TensorFlow Jupyter Miniconda CUDA ROCm Hugging Face |
| Docker Support | Yes | Yes |
| SSH Access | Yes | Yes |
| Jupyter Notebooks | No | Yes |
| API / CLI | Yes | Yes |
| Setup Time | Minutes | Minutes |
| Kubernetes Support | Yes | Yes |
| Business Terms | ||
| Min Commitment | None | None |
| Compliance | ISO 27001 ISO 20000-1 GDPR PCI DSS | SOC 2 Type II SOC 3 HIPAA (with BAA) CSA STAR Level 1 |
Cherry Servers
DigitalOcean
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