AMD EPYC & Ryzen bare metal dedicated servers, deployed in 12 minutes with no virtualization overhead and no shared resources. Full hardware-level control for data-intensive workloads, high-traffic applications, and virtualization at scale.
Up to 128 cores, 1152GB RAM, 10Gbps uplinks. Deployed in 15 minutes.
Hourly or monthly billing. Engineers on call around the clock, 45-second response time.
Bitcoin, Ethereum, Solana, and 20+ more. Built for how Web3 teams operate.
Perfectly suited for demanding workloads, performance-intensive applications, and scalable enterprise solutions.
A bare metal server powered by AMD EPYC or Ryzen processors. You get full hardware access, no shared resources, and no virtualization overhead eating into your performance.
High core counts, ECC memory, and hardware-level security at a lower cost than comparable Intel configs. Cherry Servers deploys them in 15 minutes with transparent, predictable pricing.
5nm and 7nm. More performance per watt, less heat.
SEV and ECC memory included as standard on every server.
Up to 10 NVMe slots. Add disks or upgrade as you scale.
Up to 100TB outbound included. Unmetered inbound traffic.
Network-level mitigation on every server, out of the box.
Included on every plan. Extendable to 2TB as you grow.
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AMD EPYC and Ryzen deliver strong multi-threaded performance at transparent, predictable pricing. No hidden fees, no cloud markup.
Expand RAM up to 1152GB, add NVMe storage, or attach a GPU accelerator. Root access included so you can run any OS, kernel, or security stack you need.
Your server, your resources. AMD's built-in hardware security features, combined with full hardware isolation, mean no noisy neighbors and no shared attack surface.
When your workload outgrows its current config, spin up a higher-spec EPYC machine in 12 minutes and migrate using your existing Terraform or Ansible scripts. No rewriting, no replatforming, no downtime drama.
High core counts and up to 1152GB RAM make EPYC servers a natural fit for ETL pipelines, real-time analytics, and AI/ML training. No resource contention, no throttling.
Run multiple VMs or containerized services on a single bare metal host. Cherry Servers' hardware-level isolation keeps workloads clean and independent.
AMD's multi-threaded architecture handles 4K encoding and 3D rendering without the overhead of a shared environment slowing your pipeline down.
Solana validators and RPC nodes need consistent single-thread performance, fast NVMe I/O, and zero resource sharing. EPYC delivers all three. Cherry Servers powers 10% of the Solana network.
AMD EPYC processors are great for large, multi-threaded workloads. People use them in virtualization, scientific simulations, and database management. EPYC chips feature many PCIe lanes for high-speed connections. They can manage heavy data transfers without any slowdown.
AMD Ryzen CPUs excel in both single-threaded and multi-threaded tasks. They are great for gaming, streaming, and daily computing. You should balance your budget with performance needs. Ryzen offers fewer cores than EPYC but has higher clock speeds, making it suitable for small to mid-sized workloads.
EPYC features more cores, larger caches, and enterprise-specific tools, which are ideal for large-scale tasks. Ryzen gives you ultra-high CPU frequency, excellent for more demanding tasks and high-performance computing. Before choosing, consider your workload size, growth potential, and budget.
Yes, you can. You can adjust RAM, select storage types like SSD or NVMe, and add GPU accelerators if needed. Since this is dedicated hardware, you can customize the server to fit your project. This might mean more memory for large data or special GPUs for AI tasks.
Yes, they do. You can add GPUs made for machine learning, rendering, or other heavy workloads. This makes it easier to work on tasks that use GPU power, like training AI models and real-time 3D processing. That way, your CPU stays fast.
We support Ubuntu (20.04, 22.04, 24.04), CentOS (7), Debian (11, 12), AlmaLinux (8, 9), OpenSUSE (Leap 15), Windows Server (2019, 2022), VMware ESXi (7, 8), and any other custom Operating System via IP KVM self-install.
AMD EPYC generally delivers more cores, higher memory bandwidth, and better price-to-performance than comparable Intel Xeon configs. Ryzen leads Intel on single-thread clock speeds in the same price bracket. Cherry Servers offers both if you need a direct comparison for your workload, our team can help you decide.
Pre-configured AMD servers deploy in 12 minutes through the Cherry Servers client portal, API, or CLI. Custom configurations typically take 24 to 72 hours depending on the build.
Yes. EPYC's high core counts, ECC memory, and large memory capacity make it well-suited for PostgreSQL, MySQL, MongoDB, and other memory-intensive database workloads. Models like the EPYC 9375F support up to 1152GB RAM, enough headroom for in-memory databases at scale.
Cherry Servers doesn't offer in-place vertical scaling, but you can provision a higher-spec AMD server in minutes and migrate using Terraform, Ansible, or your existing automation scripts. Moving from a Ryzen setup to an EPYC machine is straightforward if your stack is already infrastructure-as-code.
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