Gcore Blog

AI is moving fast enough to make every founder uneasy.You ship a feature, and a competitor ships something similar. You improve your model, and the baseline shifts. You polish your UX, and the pattern becomes standard. In a market like this

We're excited to announce the alpha release of Gcore Terraform Provider v2 — a complete rewrite of our Terraform provider, built for the way we build today.This isn't an incremental update. It's a new foundation.Why we rewrote itAs Gcore's

We're launching FAST, a new S3-compatible Object Storage type purpose-built for performance-intensive and AI workloads. It's built on VAST Data's industry-leading, all-flash storage platform, purpose-designed for high-throughput, low-latenc

An interview with Alexey Shirobokov, CEO & Founder of Mission Space with Dima Maslennikov, Head of Startups at Gcore, recorded at House of Startups, Luxembourg. At Gcore, we work closely with startups building at the edge of deep t

Some AI jobs require the full power and predictability of dedicated bare metal clusters. Others need something more agile: compute that can be sized up or down quickly, used for a burst of experimentation, powered down when idle, and spun b

Cyberattacks are not just growing—they're accelerating at an alarming pace. The second half of 2025 marked a dramatic escalation in both the frequency and scale of DDoS attacks, with record-breaking volumes and increasingly sophisticated ta

AI adoption has a fragmentation problem. Organizations routinely stitch together separate tools for development, training, and serving, each with its own infrastructure, access controls, and operational overhead. The result is a patchwork t

E-commerce is moving fast — and the conversations at E-commerce Berlin Expo reflected just how much has changed in the last few years.Now that the event is over, here are four things I took away from speaking with key players across the ind

Three partnership announcements. One week. Twelve years in the making.Last week, as Gcore turned 12, we launched a new feature in partnership with NVIDIA and announced that Microsoft selected Gcore to join its elite group of global CDN part

Imagine if you could click a button and suddenly your GPUs increase their throughput by 6x. Or reduce latency by 2x. Or route inference requests seamlessly across different GPU types.That's the experience we're bringing to our inference cus

HLS/DASH streaming via CDN with ~3 seconds latency glass-to-glassLL-HLS and LL-DASH are well-documented standards, but delivering them reliably at scale is far from trivial. The challenge is not in understanding the protocols—it is in engin

We’ve expanded our AI inference Application Catalog with three new state-of-the-art models, covering massively multilingual translation, efficient agentic workflows, and high-end reasoning. All models are live today via Everywhere Inference