Difference between revisions of "CUDA Graphs"
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Latest revision as of 05:41, 27 August 2025
CUDA Graphs
CUDA Graphs represent a powerful dedicated server configuration optimized for high-performance computing tasks, particularly those leveraging NVIDIA GPUs. Designed for researchers, data scientists, and businesses requiring accelerated processing, these servers are ideal for deployment within a robust server hosting environment or a modern data center. They offer a significant advantage in applications demanding low latency and high throughput, such as machine learning and scientific simulations.
Technical Specifications
CPU Model | Cores/Threads | Base/Boost Clock | RAM Type | RAM Size | Storage | Network | Virtualization Support | ECC Support | Power Usage | Data Center Location Options |
---|---|---|---|---|---|---|---|---|---|---|
64 Cores / 128 Threads | 2.45 GHz / 3.5 GHz | DDR4-3200 | 256GB | 2 x 4TB NVMe PCIe Gen4 x4 (RAID 1) | 100 Gbps | KVM, VMware ESXi | Yes | 350W | US East, US West, Europe West | ||||||||||
32 Cores / 64 Threads | 2.0 GHz / 3.4 GHz | DDR4-3200 | 128GB | 1 x 2TB NVMe PCIe Gen4 x4 | 25 Gbps | KVM, VMware ESXi | Yes | 270W | US East, Europe West | ||||||||||
32 Cores / 64 Threads | 2.8 GHz / 3.7 GHz | DDR4-3200 | 64GB | 1 x 1TB NVMe PCIe Gen3 x4 | 10 Gbps | KVM | Yes | 200W | US East, US West |
Performance Benchmarks
Benchmark | AMD EPYC 7763 | Intel Xeon Gold 6338 | AMD EPYC 7543P |
---|---|---|---|
2,000 - 2,200 | 1,700 - 1,900 | 1,500 - 1,700 | |||
30,000 - 35,000 | 22,000 - 28,000 | 18,000 - 22,000 | |||
7,000 - 7,500 MB/s | 6,500 - 7,000 MB/s | 5,000 - 5,500 MB/s | |||
90 - 100 Gbps | 20 - 25 Gbps | 8 - 10 Gbps |
- Note: Benchmark results can vary significantly based on workload, software configuration, and other system factors.*
Recommended Use Cases
- Machine Learning Training and Inference
- Scientific Computing and Simulations
- Financial Modeling and Analysis
- Video Encoding and Transcoding
- Data Analytics and Big Data Processing
- High-Performance Databases like PostgreSQL
- GPU-accelerated rendering tasks (e.g., Blender rendering)
Advantages
- Exceptional Performance per Dollar: Offers a high level of computing power relative to cost.
- Ultra-Low NVMe Latency: PCIe Gen4 NVMe storage provides extremely fast data access.
- DDR4/ECC Reliability: ECC RAM ensures data integrity and system stability.
- 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, reducing time to market.
- Scalability: Easily scalable to meet growing computational demands.
- Optimized for GPU Workloads: Specifically configured to maximize GPU performance.
Comparison with Similar Configurations
Configuration | CPU | RAM | Storage | Typical Use | Pros | Cons |
---|---|---|---|---|---|---|
EPYC 7502P Server (256GB/4TB) | AMD EPYC 7502P | 256GB DDR4 ECC | 4 x 1TB SATA (RAID 5) | General Purpose Server | Cost-effective, large storage capacity | Slower storage performance, lower GPU potential | ||||||
Ryzen 9 5950X Server | AMD Ryzen 9 5950X | 64GB DDR4 | 1 x 1TB NVMe PCIe Gen3 | Workstation/Small Server | Excellent single-core performance, lower cost | Limited scalability, less ECC support | ||||||
Intel Xeon Silver 4310 Server | Intel Xeon Silver 4310 | 64GB DDR4 ECC | 1 x 512GB NVMe PCIe Gen3 | Entry-level Server | Reliable, good value | Lower core count, slower GPU potential |
Pricing & Ordering
Pricing varies based on configuration choices, including RAM capacity, SSD tier, data center region, and bandwidth allocation. A base configuration with 64GB RAM, 1TB NVMe storage, and 10Gbps network connectivity starts at $800/month. Higher RAM tiers, larger SSDs, and increased bandwidth will increase the monthly cost. Configure and order to receive a custom quote.
Setup & Management Best Practices
- **Operating System:** Choose a Linux distribution optimized for server workloads, such as Ubuntu Server, CentOS, or Debian.
- **RAID/Filesystem:** Utilize RAID 1 or RAID 10 for data redundancy with NVMe drives. Consider using the XFS or ext4 filesystem.
- **Backups:** Implement a regular backup strategy using tools like rsync or dedicated backup software.
- **Monitoring:** Utilize monitoring tools like Nagios or Prometheus to track server health and performance.
- **Security Hardening:** Implement firewall rules, SSH key authentication, and regular security updates.
- **Kernel Updates:** Keep the kernel up-to-date with the latest security patches and performance improvements.
Internal Links
- CPUs
- Server Families
- Operating Systems
- Server Configurations
- Workstation Configurations
- Ubuntu Server
- CentOS
- Debian
- PostgreSQL
- Blender
- Network Security
- RAID
- Virtualization
- AMD Servers
- Intel Servers
- Storage Technologies
FAQ
What performance can I expect from a CUDA Graphs server?
Performance will depend on the specific workload and configuration. Expect significant acceleration for GPU-bound tasks compared to CPU-only systems.
Can I upgrade the RAM or storage on this server?
Yes, RAM and storage upgrades are typically available, subject to hardware compatibility and availability. Contact support for upgrade options.
Does this server support virtualization?
Yes, both KVM and VMware ESXi are supported, allowing you to run multiple virtual machines.
Is there a network cap on the 100 Gbps connection?
While the connection is provisioned at 100 Gbps, actual throughput may be limited by other factors, such as network congestion. Fair usage policies apply.
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 backup snapshots taken?
Backup snapshots are taken daily by default. More frequent snapshots can be configured for an additional fee.
What are the contract terms?
We offer flexible monthly contracts with no long-term commitments.
Notes
Benchmark results are indicative and may vary based on specific configurations and workloads. Component availability is subject to change 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
Configure and order your ideal server configuration
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️