AMD EPYC 7543 + L4 Dedicated Server
Bare-metal AMD EPYC 7543 + L4 dedicated servers with full root access and dedicated hardware in Canada. one ready-to-deploy configuration covering 64 cores, 128GB RAM, deployed with unmetered bandwidth and 24/7 support.
- 99.99%Network Uptime
- UnmeteredBandwidth
- InstantSetup
- 24/7Expert Support
- AMD7543
- Up to128 GB
- Up to2x 960GB SSD MU
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Configure your ideal AMD EPYC 7543 + L4 dedicated server and deploy in minutes.
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Available AMD EPYC 7543 + L4 Servers
| Selected | Server | Location | CPU | RAM | Storage | Bandwidth / Port | Price /mo | Action |
|---|---|---|---|---|---|---|---|---|
| Dell R7525 (16SFF+8NVMe) 2x AMD EPYC 7543 - L4 |  Canada | Dual x AMD EPYC 7543 (64 cores) | 128 GB | 2x 960GB SSD MU | — | $562.61 |
AMD EPYC 7543 + L4 use cases and scoring
MonoVM Server Score
6.8/10
Hardware index from 64 cores, 128 GB max RAM, SSD storage, 1 location. Not a customer rating.
Best For
- Inference pipelines with substantial CPU tokenization, decoding or feature preparation.
- AV1-capable media services with many surrounding CPU tasks.
- Mixed CPU and GPU worker platforms whose memory budgets are explicitly controlled.
- Computer-vision applications that fit their GPU stage within 24 GB per device.
Not Ideal For
- Memory-heavy preprocessing workers that collectively exceed the listed 128 GB RAM.
- Models requiring more than 24 GB on one L4 without a supported memory strategy.
- Choosing sixty-four CPU cores when the only bottleneck is the GPU stage.
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AMD EPYC 7543 + L4 Specifications
- Processor
- AMD EPYC 7543 + L4
- Vendor
- AMD
- Product line
- EPYC
- Cores
- 64
- Memory
- 128 GB
- GPU
- L4
- Storage options
- 2x 960GB SSD MU
- Configurations
- 1
- Locations
- 1
- Root access
- Full root / administrator
Network & Locations
Every AMD EPYC 7543 + L4 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 7543 + L4 servers.
The listed server combines two EPYC 7543 processors for 64 physical cores with 128 GB RAM, two 960 GB SSDs and an NVIDIA L4. Each L4 has 24 GB GPU memory. Confirm the installed accelerator quantity rather than inferring it from CPU capacity.
They can help when substantial independent work occurs before or after inference, such as decoding, tokenization or feature extraction. Profile the complete pipeline. If GPU execution is the bottleneck, additional CPU workers may only increase queues and host-memory use.
L4 supports hardware AV1 encoding, but the media application and driver must expose the intended path. Validate resolution, frame rate, quality settings and concurrent jobs. Include input decoding, filters and output storage in the benchmark.
Compare the L40S version when the model, scene or batch needs 48 GB per GPU or when its measured GPU performance better fits the task. Host CPU resources do not change the L4 memory limit.
Measure peak RAM per worker, include decoded samples and queued batches, and reserve host headroom. The listed 128 GB serves sixty-four CPU cores and all application processes. Increase worker count only while GPU utilization and end-to-end throughput improve.
Use a container and framework version that supports L4, together with a compatible host NVIDIA driver and container runtime. Validate GPU visibility and a representative inference request. The hardware listing does not establish which software or models are preinstalled.