CUDA Compiler
CUDA Compiler
The CUDA Compiler dedicated server is a high-performance computing solution designed for developers and researchers working with NVIDIA GPUs. This server hosting offering provides the necessary resources for compiling and running CUDA applications efficiently, typically deployed within a robust data center environment. It’s ideal for machine learning, scientific simulations, and other computationally intensive tasks needing parallel processing power.
Technical Specifications
| CPU Model & Cores/Threads | Base/Boost Clock | RAM Type & Size | Storage (NVMe/SATA, Capacity, RAID) | Network (Port Speed, Bandwidth) | Virtualization Support | ECC Support | Power Usage | Data Center Location Options |
|---|---|---|---|---|---|---|---|---|
| AMD EPYC 7763 (64 Cores/128 Threads) | 2.45 GHz / 3.5 GHz | DDR4-3200 ECC Registered (256GB) | 2x 4TB NVMe PCIe Gen4 SSD (RAID 1) | 10Gbps Network Interface Card (NIC) – 100TB Monthly Bandwidth | KVM, VMware ESXi | Yes | 350W | Amsterdam, Frankfurt, New York, Singapore |
| Intel Xeon Gold 6338 (32 Cores/64 Threads) | 2.0 GHz / 3.4 GHz | DDR4-3200 ECC Registered (128GB) | 1x 2TB NVMe PCIe Gen4 SSD | 5Gbps NIC – 50TB Monthly Bandwidth | KVM | Yes | 250W | London, Paris, Tokyo |
Performance Benchmarks
| Benchmark | AMD EPYC 7763 | Intel Xeon Gold 6338 | Notes |
|---|---|---|---|
| Single-Core Performance (PassMark) | 2,200 - 2,400 | 1,800 - 2,000 | Results vary based on workload and OS. |
| Multi-Core Performance (PassMark) | 48,000 - 52,000 | 32,000 - 36,000 | Significant difference due to core count. |
| Disk IO (CrystalDiskMark – Sequential Read) | 7,000 - 7,500 MB/s | 6,500 - 7,000 MB/s | NVMe SSD performance; varies with drive health. |
| Network Throughput | 9.5 Gbps | 4.5 Gbps | Actual throughput depends on network conditions. |
Recommended Use Cases
- Machine Learning Training: Accelerating Deep Learning model training with CUDA.
- Scientific Computing: Running simulations in fields like physics, chemistry, and engineering.
- Data Science: Processing large datasets with GPU Accelerated Analytics.
- Video Encoding/Decoding: Fast and efficient video processing using CUDA APIs.
- AI Inference: Deploying and running AI models for real-time predictions.
- Financial Modeling: Complex calculations and risk analysis leveraging parallel processing.
- High-Performance Computing (HPC): General-purpose HPC workloads.
Advantages
- Exceptional Performance per Dollar: Offers a high level of compute power for the investment.
- Ultra-Low NVMe Latency: Fast storage speeds for rapid data access.
- DDR4 ECC Registered Memory: Enhanced data reliability and stability for critical applications.
- Power Efficiency: Optimized power consumption for reduced operating costs.
- High Availability: Redundant power supplies and RAID configurations minimize downtime.
- Rapid Provisioning: Servers can be deployed quickly to meet changing demands.
- Scalability: Easy to upgrade RAM, storage, and network bandwidth as needed.
- Optimized for CUDA Development: Pre-configured drivers and libraries streamline setup.
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 Registered | 4TB NVMe SSD (RAID 1) | General-purpose server, virtualization | Excellent core count, good value | Lower single-core performance than newer CPUs |
| Ryzen 9 5950X Server | AMD Ryzen 9 5950X (16 Cores/32 Threads) | 64GB DDR4 ECC | 2TB NVMe SSD | Game servers, content creation | High single-core performance, affordable | Limited scalability, less RAM capacity |
| Core i9-9900K Server | Intel Core i9-9900K (8 Cores/16 Threads) | 32GB DDR4 | 1TB SATA SSD | Web hosting, small databases | Cost-effective, good for basic tasks | Limited performance, no ECC support |
Pricing & Ordering
Pricing varies based on configuration choices. RAM and SSD tiers, datacenter region, and bandwidth allocation all influence the final cost. A basic configuration starts at $499 per month. Configure and order
Setup & Management Best Practices
We recommend using a Linux distribution like Ubuntu Server or CentOS for optimal performance. Implement RAID 1 or RAID 10 for data redundancy. Regularly schedule backups using tools like rsync or dedicated backup solutions. Monitor server health with tools like Nagios or Zabbix. Prioritize security hardening by configuring firewalls and keeping the kernel updated.
Internal Links
- CPUs
- AMD Servers
- Intel Servers
- Server Configurations
- Workstation Configurations
- Operating Systems
- Ubuntu Server
- CentOS
- Debian
- Red Hat Enterprise Linux
- Virtualization
- KVM
- VMware ESXi
- RAID
- Network Security
- Server Monitoring
FAQ
What performance can I expect?
Performance depends on your specific CUDA application. The EPYC 7763 generally offers higher multi-core performance, while the Xeon Gold 6338 provides strong single-core performance.
Can I upgrade the server after ordering?
Yes, RAM and storage can be upgraded after ordering, subject to availability. CPU upgrades are generally not possible.
Does this server support virtualization?
Yes, both KVM and VMware ESXi are supported.
Is there a network cap?
Each server includes a monthly bandwidth allowance. Exceeding this allowance may incur additional charges.
Is DDoS protection included?
Yes, basic DDoS protection is included as standard. Enhanced DDoS mitigation services are available as an add-on.
How often are backups taken?
Backup snapshots are available on demand and can be scheduled to run daily, weekly, or monthly.
What are the contract terms?
We offer flexible monthly contracts with no long-term commitments.
Notes
Benchmark results can vary significantly depending on the specific workload, operating system, and software configuration. Component availability may fluctuate due to global supply chain conditions.
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 |
Order Your Dedicated Server
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️