Dedicated server leasing and private clouds in the Netherlands, USA, Finland, Iceland and Turkey - premium WEB services provider. GPU servers with NVIDIA cards
HOSTKEY documentation is now available in Dutch (NL).
Better accessibility for international teams — faster onboarding, clearer infrastructure workflows.
👉 hostkey.com/documentation/nl…
Intel is pushing rack-scale AI infrastructure for inference and agentic workloads.
Xeon SambaNova RDUs Foxconn integration → system-level AI design instead of single-server compute.
AI infra is becoming rack-native.
We launched Managed Apps in HOSTKEY.
No VMs. No setup. No infra management.
Just pick an app → get a ready service with a URL.
Faster deployment, zero infrastructure overhead.
👉 hostkey.com/apps/managed-app…
We analyzed real HOSTKEY order data across hundreds of servers.
Result: hosting panel choices in production look very different from online reviews.
Actual usage > opinions.
👉 youtu.be/7jOqUXXUrqs
We built an LLM-based translation agent for technical documentation.
It preserves structure, code and terminology while scaling multilingual docs across infrastructure teams.
Translation is now an infrastructure problem, not just language.
👉 hostkey.com/blog/161-how-our…
I Squared is buying 10 Cogent data centers for $225M to build an AI inference & edge colocation platform.
Trend is clear: AI compute is moving closer to users.
Latency and geography now matter as much as GPUs.
S3-compatible storage is now a standard layer in modern infrastructure.
In this guide: how to connect to S3 step by step — credentials, endpoints, tools and real-world usage in AI, backups and cloud systems.
👉 hostkey.com/blog/160-how-to-…
AI scaling is hitting a new bottleneck — and it’s not GPUs.
Marvell highlights a shift: connectivity between accelerators, servers, racks, and data centers now defines performance and cost efficiency.
In AI infrastructure, network is becoming the new compute.
We turned OpenClaw into a fully working AI agent with LLM integration Telegram control.
Self-hosted, real-time and fully deployed on HOSTKEY infrastructure.
AI agents are becoming infrastructure, not just software.
👉Watch the video: youtube.com/watch?v=tcLxRJR2…
AI datacenters are hitting physical limits.
Power, cooling and GPU density per MW are now the main bottlenecks — not compute.
AI infrastructure is becoming energy-driven.
AI infrastructure is shifting toward inference-first design.
NVIDIA cloud providers are optimizing GPU clusters for latency, routing and large-scale model serving — not just training.
Compute is becoming orchestration-driven.
India was denied access to a supercomputer — so they built their own.
A clear example of a bigger trend: compute is becoming strategic infrastructure and restrictions are accelerating local AI/HPC development.
Full story:
hostkey.com/blog/157-india-w…
AI datacenters are hitting new limits: power, cooling and GPU density per MW.
Infrastructure is shifting from compute-centric → energy-centric design.
Scaling AI now depends on physical constraints, not just GPUs.
System prompt vs Skills vs MCP tools — who actually controls AI behavior?
We tested OpenWebUI with a live URL validation case.
Key insight: each layer solves a different problem — behavior, reuse and execution.
Full breakdown:
hostkey.com/blog/155-openweb…
Google Cloud is turning inference routing into a core part of AI infrastructure.
Smarter distribution across GPUs and regions = lower latency, better utilization, more efficient scaling.
AI infra is becoming a routing problem, not just compute.
S3 Object Storage is the backbone of modern cloud & AI infrastructure.
Scalable, API-driven storage used for datasets, backups, ML pipelines & more.
Why it became the industry standard — explained here:
hostkey.com/blog/154-what-is…
Deploying an AI agent shouldn’t feel like DevOps overload.
New video: run a ready OpenClaw AI agent on HOSTKEY VPS in minutes — no heavy setup.
We cover deployment, CLI and web UI setup.
Next part → LLM Telegram automation.
Watch: youtube.com/watch?v=WXZpKJT4…
AWS is optimizing EC2 GPU instances for generative AI inference — improving scaling behavior, utilization and cost efficiency on H100-class systems.
Cloud infrastructure is shifting from training-heavy to inference-heavy design.
NVIDIA is pushing Blackwell systems toward inference-first optimization — focusing on latency, throughput and cost per token rather than just training performance.
AI infrastructure is increasingly defined by serving efficiency, not peak compute.