AMD EPYC 7413 + L40S Dedicated Server
Bare-metal AMD EPYC 7413 + L40S dedicated servers with full root access and dedicated hardware in Canada. one ready-to-deploy configuration covering 48 cores, 128GB RAM, deployed with unmetered bandwidth and 24/7 support.
- 99.99%Network Uptime
- UnmeteredBandwidth
- InstantSetup
- 24/7Expert Support
- AMD7413
- Up to128 GB
- Up to2x 960GB SSD MU
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Configure your ideal AMD EPYC 7413 + L40S dedicated server and deploy in minutes.
Instant Setup
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Available AMD EPYC 7413 + L40S Servers
| Selected | Server | Location | CPU | RAM | Storage | Bandwidth / Port | Price /mo | Action |
|---|---|---|---|---|---|---|---|---|
| Dell R7525 (16SFF+8NVMe) 2x AMD EPYC 7413 - L40S |  Canada | Dual x AMD EPYC 7413 (48 cores) | 128 GB | 2x 960GB SSD MU | — | $849.16 |
AMD EPYC 7413 + L40S use cases and scoring
MonoVM Server Score
6.8/10
Hardware index from 48 cores, 128 GB max RAM, SSD storage, 1 location. Not a customer rating.
Best For
- Model inference needing a larger per-GPU memory budget than a 24 GB card.
- CUDA or OptiX rendering of scenes that fit within 48 GB GPU memory.
- Image-generation and fine-tuning experiments with measured batch and memory requirements.
- AV1-capable media processing alongside substantial CPU preprocessing capacity.
Not Ideal For
- Models whose weights, cache and runtime allocations still exceed 48 GB on one GPU.
- Applications requiring an assumed NVLink fabric or automatically pooled multi-GPU memory.
- Treating host CPU core count as a guarantee of rendering or inference throughput.
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AMD EPYC 7413 + L40S Specifications
- Processor
- AMD EPYC 7413 + L40S
- Vendor
- AMD
- Product line
- EPYC
- Cores
- 48
- Memory
- 128 GB
- GPU
- L40S
- Storage options
- 2x 960GB SSD MU
- Configurations
- 1
- Locations
- 1
- Root access
- Full root / administrator
Network & Locations
Every AMD EPYC 7413 + L40S ships on a dedicated uplink with unmetered bandwidth, DDoS filtering and 24/7 monitoring.
- Canada
Frequently Asked Questions
Answers to common questions about AMD EPYC 7413 + L40S servers.
The listed configuration combines two EPYC 7413 processors for 48 physical cores, 128 GB RAM and paired 960 GB SSDs with an NVIDIA L40S. Each L40S has 48 GB GPU memory. Confirm GPU quantity and software requirements for the selected plan.
It gives a larger local memory budget for weights, KV cache, activations or rendering scenes. The usable workload still depends on precision, context length, batch size and software overhead. It does not guarantee that a model twice as large will run at the same speed.
It is a candidate when the renderer version supports the GPU and the scene fits memory. Verify the selected CUDA or OptiX backend, driver and application requirements. Benchmark representative scenes, including geometry and textures, rather than using GPU memory alone as a speed estimate.
Compare L4 when the workload fits within 24 GB per GPU and its measured inference or media performance meets your target. Use the actual configuration and workload rather than choosing L40S only for a memory capacity you will not use.
No such topology should be assumed. L40S does not provide NVLink, and GPU memory remains device-local unless the application explicitly distributes the workload. Confirm installed GPU quantity and communication behaviour before choosing a multi-GPU training or serving strategy.
The listed paired 960 GB SSDs must cover model files, datasets, checkpoints and temporary outputs according to the selected RAID layout. GPU memory and disk capacity are separate. Plan external dataset and backup storage if the local workspace is too small.