AMD EPYC 7413 + L4 Dedicated Server
Bare-metal AMD EPYC 7413 + L4 dedicated servers with full root access and dedicated hardware in Canada and United States. 2 configurations covering 24–48 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 to7.68TB NVMe SSD
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Configure your ideal AMD EPYC 7413 + L4 dedicated server and deploy in minutes.
Instant Setup
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Available AMD EPYC 7413 + L4 Servers
| Selected | Server | Location | CPU | RAM | Storage | Bandwidth / Port | Price /mo | Action |
|---|---|---|---|---|---|---|---|---|
| Dell R7525 (16SFF+8NVMe) 2x AMD EPYC 7413 - L4 |  Canada | Dual x AMD EPYC 7413 (48 cores) | 128 GB | 2x 960GB SSD MU | — | $472.42 | ||
| EPYC 7413/128GB/7.68TB NVMe SSD + L4 24GB |  United States | EPYC 7413 (24 cores/48 threads) | 128GB | 7.68TB NVMe SSD | 20TB / 10Gbps | $1428.70 |
AMD EPYC 7413 + L4 use cases and scoring
MonoVM Server Score
7.3/10
Hardware index from 48 cores, 128 GB max RAM, NVMe storage, 2 locations. Not a customer rating.
Best For
- CUDA inference services whose model and runtime allocations fit 24 GB per L4.
- Video pipelines that require supported hardware AV1 encoding.
- Computer-vision inference with substantial CPU preprocessing around the GPU stage.
- Mixed application and inference services needing a forty-eight-core host.
Not Ideal For
- Models requiring more than 24 GB on one GPU without a supported memory-reduction strategy.
- Assuming forty-eight CPU cores increase the memory capacity of the L4.
- Large training jobs chosen without testing batch size, precision and GPU throughput.
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AMD EPYC 7413 + L4 Specifications
- Processor
- AMD EPYC 7413 + L4
- Vendor
- AMD
- Product line
- EPYC
- Cores
- 24–48
- Memory
- 128 GB
- GPU
- L4
- Storage options
- 2x 960GB SSD MU · 7.68TB NVMe SSD
- Bandwidth
- 20TB / 10Gbps
- IP addresses
- 1 Free
- Configurations
- 2
- Locations
- 2
- Root access
- Full root / administrator
Network & Locations
Every AMD EPYC 7413 + L4 ships on a dedicated uplink with unmetered bandwidth, DDoS filtering and 24/7 monitoring.
- Canada
- United States
Frequently Asked Questions
Answers to common questions about AMD EPYC 7413 + L4 servers.
The listed host uses two EPYC 7413 processors for 48 physical cores, 128 GB RAM and two 960 GB SSDs, paired with an NVIDIA L4. Each L4 has 24 GB GPU memory. Confirm the installed GPU quantity and exact storage interface in the selected order.
There is no reliable parameter-count limit without specifying precision, context length, batch size and runtime overhead. Include model weights, KV cache and temporary allocations in a measured memory budget. The host 128 GB RAM does not automatically extend GPU-local memory.
L4 provides hardware AV1 encoding, but the installed driver and media application must expose it. Check the encoder build, resolution, quality settings and concurrent-stream workload. Measure end-to-end throughput rather than deriving stream capacity from the GPU model alone.
Compare L40S when you need 48 GB per GPU or a different GPU performance profile. The host CPU family is similar, so compare GPU memory, the exact installed count and application benchmarks rather than assuming the larger GPU fixes CPU or storage bottlenecks.
Confirm the installed GPU count, driver version and the CUDA requirements of your container and framework. Use a supported NVIDIA container runtime configuration and validate the exact inference application. Software installation or model deployment should not be assumed from the hardware listing.
Yes. Image decoding, tokenization and data loading can constrain GPU utilization even with forty-eight host cores. Measure the pipeline, use suitable worker limits and check the paired SSD throughput. More CPU workers can also exhaust the listed RAM without improving GPU throughput.