High-RAM Dedicated Servers — 128GB to 1TB ECC

Memory-bound workloads look like capacity problems on paper and turn into performance cliffs in production. An Elasticsearch cluster that fits its inverted indexes in RAM serves queries in milliseconds; the moment those indexes overflow to disk, latency jumps by orders of magnitude. A PostgreSQL database with its hot working set in shared_buffers runs like a champion; the same database forced to page in rows from disk turns into a crawl. Redis holding a million entries in-memory is sub-millisecond; Redis swapping is a service outage.

The same pattern applies to virtualization hosts (a modest 32-core machine with 128 GB RAM can comfortably run 20-30 mid-sized VMs, but only if RAM is not the bottleneck), JVM application servers (heap fragmentation on tight-memory hosts ruins latency SLAs), and AI inference serving (loading a 30-billion-parameter quantized model requires 60-80 GB of RAM just for weights).

The right answer in all these cases is to throw memory at the problem — dedicated hardware with ECC DIMMs slotted to the platform's maximum configuration. AnubizHost's high-RAM tier exists precisely for these workloads, with configurations tuned to the platforms that scale memory cleanly and price points that do not punish you for needing 512 GB.

Memory scaling depends on platform and socket count. On the single-socket AMD EPYC 7313P or EPYC 7443P platforms we support up to 512 GB of DDR4-3200 ECC RAM across 8 DIMM slots (8x 64 GB). On dual-socket Intel Xeon Silver 4314 or Xeon Gold 6330 configurations we support up to 1 TB (16x 64 GB or 8x 128 GB) across 16 DIMM slots. All memory is registered ECC (RDIMM or LRDIMM depending on capacity), fully buffered for enterprise reliability.

Memory bandwidth matters as much as capacity for some workloads. The AMD EPYC Milan platform delivers approximately 200 GB/s of memory bandwidth per socket; the Intel Xeon Ice Lake platform delivers approximately 160 GB/s per socket. For workloads that are bandwidth-limited rather than capacity-limited (in-memory analytics, large graph traversal), the EPYC platform is our default recommendation.

ECC (error-correcting code) is standard on every high-RAM configuration. At scale, non-ECC RAM produces uncorrected bit errors at a rate that causes mysterious corruption and crashes; enterprise workloads with large memory footprints require ECC both for reliability and for peace of mind during debugging.

Storage on high-RAM configurations defaults to 2x 1.92 TB NVMe in RAID 1 for the OS and swap, with optional expansion to 4x or 8x NVMe for applications that spill working-set data to disk. Network is 1 Gbps unmetered standard, with 10 Gbps upgrade available for workloads that move large datasets in and out of memory.

The high-RAM tier starts where most providers stop. Our 128 GB configuration lands at $129/mo, the 256 GB configuration at $199/mo, and the 512 GB and 1 TB configurations sit in the custom-quote range but typically run $349-$599/mo for a fully-populated dual-socket 1 TB box. All configurations use DDR4-3200 ECC RAM, enterprise NVMe storage, and 1-10 Gbps unmetered uplinks.

Annual billing discounts of 10-15% apply across the tier. Memory upgrades after provisioning are possible but schedule-dependent — if you know you will scale memory within the next few months, we recommend ordering the target capacity up front to avoid downtime during an in-place expansion.

Standard high-RAM configurations (128 GB and 256 GB) provision in 24-48 hours. Larger configurations (512 GB and 1 TB) require 48-96 hours because we validate the full memory population with extended memtest86+ runs before handing the server over — ECC will correct single-bit errors transparently, but a DIMM with structural faults should be caught and replaced before you load your data onto it.

Operating system tuning for high-RAM hosts matters. We ship all high-RAM servers with Transparent Huge Pages configured appropriately for the expected workload (disabled for databases, enabled for JVM), NUMA topology exposed correctly in /sys, and vm.swappiness set to 1 or 0 depending on use case. For database customers we will additionally pre-tune shared_buffers, work_mem, and effective_cache_size to sensible defaults for the memory capacity.

For virtualization hosts we install KVM/QEMU with libvirt, pre-configure NUMA-aware VM placement, and set up bridge networking. Customers running Proxmox VE, VMware ESXi (BYO license), or XCP-ng can request a pre-installed hypervisor build.

Most hosting providers treat 128 GB as their high-RAM ceiling and either refuse to sell more or charge punitive premiums for larger capacities. AnubizHost treats high-RAM as a first-class tier because we see real demand for it: database customers who need 256+ GB, virtualization hosts running 30+ VMs, and AI inference operators loading 70B-parameter models.

Our pricing reflects the actual hardware cost plus a reasonable margin, not an arbitrary upsell on memory scarcity. A 256 GB server at $199/mo is genuinely competitive with equivalent configurations at Hetzner, OVH, or Server4You, and we add offshore jurisdiction, DMCA-ignored policy, and crypto billing on top without surcharge.

For memory-bound workloads that also benefit from operational privacy — private database deployments, self-hosted analytics on sensitive data, archival VM farms — the combination of high memory capacity and offshore hosting is unusually hard to find elsewhere. AnubizHost is built specifically for that intersection. Start at the 128 GB tier to validate fit, then scale up with in-place migration assistance when your dataset grows.