Camera traps

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Camera traps

A camera trap server is a dedicated server specifically designed for processing and storing data from remotely triggered cameras, often used in wildlife monitoring, security, and research applications. This server hosting solution provides the computational power and storage capacity necessary to handle large volumes of images and videos, often requiring 24/7 uptime and high reliability within a data center environment. These servers are tailored for high IOPS and sustained throughput.

Technical Specifications

This configuration targets demanding camera trap data processing requirements.

Specification Detail
CPU Model AMD EPYC 7713 (64 cores/128 threads)
Base/Boost Clock 2.0 GHz / 3.7 GHz
RAM Type 256GB DDR4 ECC Registered
Storage 4 x 4TB NVMe SSDs in RAID 10
Network 10Gbps Network Interface Card (NIC)
Virtualization Support AMD-V
ECC Support Yes, ECC Registered RAM
Power Usage 350W Typical
Data Center Location Options US East, US West, Europe West

Performance Benchmarks

The following benchmarks are estimates and will vary based on the specific workload and software configuration.

Benchmark Result (Approximate)
Single-Core Performance (Passmark) 2,500 - 3,000
Multi-Core Performance (Passmark) 40,000 - 50,000
Disk IO (Sequential Read) 7,000+ MB/s
Disk IO (Sequential Write) 6,500+ MB/s
Network Throughput 9.0+ Gbps

Recommended Use Cases

This server is well-suited for the following applications:

  • Processing high-resolution images and videos from multiple camera traps simultaneously.
  • Running object detection and classification algorithms (e.g., using TensorFlow or PyTorch).
  • Storing and archiving large datasets of camera trap media.
  • Serving as a database server for camera trap data management using PostgreSQL or MySQL.
  • Hosting a web application for managing and analyzing camera trap data.
  • Supporting real-time monitoring and alerting based on camera trap events.
  • Running containerized applications using Docker and Kubernetes.

Advantages

  • **High Core Count:** The 64-core EPYC processor provides exceptional parallel processing capabilities.
  • **NVMe Storage:** Low-latency NVMe SSDs significantly accelerate data access and processing times.
  • **ECC Memory:** Error-correcting code (ECC) memory enhances system stability and data integrity.
  • **High Bandwidth:** 10Gbps networking ensures fast data transfer speeds.
  • **RAID 10 Redundancy:** RAID 10 provides both performance and data protection.
  • **Scalability:** The server can be easily scaled with additional RAM or storage as needed.
  • **Power Efficiency:** EPYC processors offer a good balance of performance and power consumption.
  • **Rapid Provisioning:** Server can be provisioned and deployed within hours.

Comparison with Similar Configurations

Configuration CPU RAM Storage Typical Use Pros Cons
EPYC 7502P Server (256GB/4TB) AMD EPYC 7502P (32 cores/64 threads) 256GB DDR4 ECC 4 x 4TB SATA SSDs (RAID 10) Moderate camera trap deployments, general server tasks Lower cost, good performance for less demanding workloads Slower storage performance compared to NVMe
Ryzen 9 5950X Server AMD Ryzen 9 5950X (16 cores/32 threads) 128GB DDR4 ECC 2 x 2TB NVMe SSDs (RAID 1) Smaller camera trap networks, research projects Cost-effective, good single-core performance Lower core count, limited storage capacity
Intel Xeon Gold 6248R Server Intel Xeon Gold 6248R (24 cores/48 threads) 256GB DDR4 ECC 4 x 4TB NVMe SSDs (RAID 10) Enterprise camera trap deployments, demanding applications Intel reliability, strong ecosystem support Generally higher cost than comparable AMD options

Pricing & Ordering

Pricing varies based on RAM configuration (128GB, 256GB, 512GB), SSD tier (consumer vs. enterprise), and data center location. A base configuration with 128GB RAM and consumer SSDs starts at $1,200/month. Configure and order

Setup & Management Best Practices

  • **Operating System:** Consider Ubuntu Server or CentOS Stream for their stability and package availability.
  • **RAID/Filesystem:** Utilize MDADM for software RAID and XFS or EXT4 for the filesystem, ensuring appropriate stripe size for camera trap workloads.
  • **Backups:** Implement regular automated backups to a separate storage location using tools like Rsync or Bacula.
  • **Monitoring:** Utilize monitoring tools like Prometheus and Grafana to track system performance and identify potential issues.
  • **Security Hardening:** Implement a firewall, disable unnecessary services, and regularly update the operating system and software.
  • **Kernel Updates:** Apply kernel updates promptly to address security vulnerabilities and improve system stability.

Internal Links

Subheadings

What performance can I expect?

Performance depends heavily on the number and resolution of camera traps, the complexity of the processing algorithms, and the storage configuration. Expect to be able to process several high-resolution images per second with the specified hardware.

Can I upgrade the server later?

Yes, RAM and storage can typically be upgraded. CPU upgrades require a motherboard replacement.

Can I run virtual machines on this server?

Yes, the EPYC processor supports virtualization. However, performance will be affected by the number and resource allocation of the virtual machines.

Is there a network bandwidth cap?

Standard configurations include unmetered bandwidth. However, excessive abuse may result in rate limiting.

Is DDoS protection included?

Yes, our data centers offer basic DDoS protection as part of the service. More advanced protection options are available.

How often are backup snapshots taken?

Backup snapshots are taken hourly by default, with daily and weekly full backups.

What are the contract terms?

Contracts are available on a monthly, quarterly, or annual basis.


Notes

Benchmark results are highly dependent on the specific workload and software configuration used. Component availability may vary.


Intel-Based Server Configurations

Configuration Specifications Benchmark
Core i7-6700K/7700 Server 64 GB DDR4, NVMe SSD 2 x 512 GB CPU Benchmark: 8046
Core i7-8700 Server 64 GB DDR4, NVMe SSD 2x1 TB CPU Benchmark: 13124
Core i9-9900K Server 128 GB DDR4, NVMe SSD 2 x 1 TB CPU Benchmark: 49969
Core i9-13900 Server (64GB) 64 GB RAM, 2x2 TB NVMe SSD
Core i9-13900 Server (128GB) 128 GB RAM, 2x2 TB NVMe SSD
Core i5-13500 Server (64GB) 64 GB RAM, 2x500 GB NVMe SSD
Core i5-13500 Server (128GB) 128 GB RAM, 2x500 GB NVMe SSD
Core i5-13500 Workstation 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000

AMD-Based Server Configurations

Configuration Specifications Benchmark
Ryzen 5 3600 Server 64 GB RAM, 2x480 GB NVMe CPU Benchmark: 17849
Ryzen 7 7700 Server 64 GB DDR5 RAM, 2x1 TB NVMe CPU Benchmark: 35224
Ryzen 9 5950X Server 128 GB RAM, 2x4 TB NVMe CPU Benchmark: 46045
Ryzen 9 7950X Server 128 GB DDR5 ECC, 2x2 TB NVMe CPU Benchmark: 63561
EPYC 7502P Server (128GB/1TB) 128 GB RAM, 1 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (128GB/2TB) 128 GB RAM, 2 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (128GB/4TB) 128 GB RAM, 2x2 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (256GB/1TB) 256 GB RAM, 1 TB NVMe CPU Benchmark: 48021
EPYC 7502P Server (256GB/4TB) 256 GB RAM, 2x2 TB NVMe CPU Benchmark: 48021
EPYC 9454P Server 256 GB RAM, 2x2 TB NVMe

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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️

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