AMD EPYC 7402P + RTX 4090 Dedicated Server
Bare-metal AMD EPYC 7402P + RTX 4090 dedicated servers with full root access and dedicated hardware in Iceland. one ready-to-deploy configuration covering 24 cores, 384GB RAM, deployed with unmetered bandwidth and 24/7 support.
- 99.99%Network Uptime
- UnmeteredBandwidth
- InstantSetup
- 24/7Expert Support
- AMD7402P
- Up to384 GB
- Up to2x3840 GB
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Available AMD EPYC 7402P + RTX 4090 Servers
| Selected | Server | Location | CPU | RAM | Storage | Bandwidth / Port | Price /mo | Action |
|---|---|---|---|---|---|---|---|---|
| EPYC 7402P/384/2x3.84Tb nvme + 4xRTX 4090 | Iceland | AMD EPYC 7402P | 384 GB | 2x3840 GB | — | Out Of Stock |
AMD EPYC 7402P + RTX 4090 use cases and scoring
MonoVM Server Score
6.8/10
Hardware index from 24 cores, 384 GB max RAM, 1 location. Not a customer rating.
Best For
- Running several independent CUDA inference or rendering jobs on separate GPUs.
- Multi-GPU training experiments whose framework supports the actual device and communication topology.
- Parallel image-generation services with a separately sized workload on each 24 GB GPU.
- CPU-assisted data preparation and GPU processing with a large host-memory workspace.
- Model-serving experiments that explicitly shard a workload across multiple devices.
Not Ideal For
- Applications expecting four GPUs to behave automatically like one 96 GB GPU.
- Tightly coupled multi-GPU work that requires NVLink connectivity between RTX 4090 cards.
- Workloads needing more than 24 GB on each GPU without supported sharding or offloading.
- FP64-focused scientific computing selected without checking the required GPU arithmetic performance.
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AMD EPYC 7402P + RTX 4090 Specifications
- Processor
- AMD EPYC 7402P + RTX 4090
- Vendor
- AMD
- Product line
- EPYC
- Cores
- 24
- Memory
- 384 GB
- GPU
- RTX 4090
- Storage options
- 2x3840 GB
- IP addresses
- 1 Free
- Configurations
- 1
- Locations
- 1
- Root access
- Full root / administrator
Network & Locations
Every AMD EPYC 7402P + RTX 4090 ships on a dedicated uplink with unmetered bandwidth, DDoS filtering and 24/7 monitoring.
- Iceland
Frequently Asked Questions
Answers to common questions about AMD EPYC 7402P + RTX 4090 servers.
The plan title lists four RTX 4090 GPUs with a 24-core EPYC 7402P, 384 GB RAM and two 3.84 TB NVMe drives. Each RTX 4090 has 24 GB of GPU memory. Confirm the GPU count and PCIe layout for the selected configuration before designing multi-GPU work.
They provide 96 GB of aggregate physical GPU memory across four separate devices, not one automatically shared memory pool. One model uses multiple cards only through a supported parallelism or sharding implementation. Allow for weights, runtime buffers, activations and KV cache on each participating GPU.
Potentially, with a compatible NVIDIA driver, CUDA-enabled PyTorch build and a training method that supports this hardware. RTX 4090 does not provide NVLink. Test the PCIe topology, device communication and batch scaling before assuming four cards will provide linear speedup.
Compare the L40S configuration when a workload benefits from 48 GB on each GPU instead of splitting across 24 GB devices. Verify the L40S GPU count and benchmark the intended model; more total memory across several cards is different from more memory on one card.
Yes, software can target individual visible GPUs when the driver and runtime are configured appropriately. Set per-service device selection and monitor memory use. This does not by itself provide hardware-enforced tenant isolation or establish support for a particular vGPU product.
Measure CPU preprocessing, NVMe reads, host-memory use and PCIe transfers together. The EPYC 7402P has twenty-four physical cores, so excessively many data-loader workers can compete with the services feeding the GPUs. Tune concurrency using measured GPU utilization and end-to-end throughput.