We've secured $594M to build the global AI Inference Cloud with @megaportnetwork
2,048 NVIDIA B300 GPUs coming to our platform this Fall on-demand, bare metal, globally distributed across Megaport's 1,100+ data centers in 31 countries.
Fast inference, close to your users. No
More regions for Object Storage
New:
🇺🇸 Los Angeles & Chicago (High-Performance)
🇬🇧 London (Standard)
Starting at:
• $0.024/GB-month (High-Performance)
• $0.0085/GB-month (Standard)
→ latitude.sh/dashboard/stor…
Next stop: #PlatformCon
📍 London — June 23 meet @victorchiea
📍 New York — June 25 join with @braoinese
We're bringing:
• Live demos
• AI infrastructure
• Bare metal
• Platform engineering
See you there. 🚀
How much time have you spent reconfiguring storage after a deployment?
Custom Disk Layouts let you define partitions and RAID configurations before the server is provisioned.
Less time setting up infrastructure, more time running workloads.
🟢 New on Latitude.sh VMs
𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗺𝗲𝘁𝗿𝗶𝗰𝘀: CPU, memory, network, disk. Query windows from 5m to 24h.
𝗨𝘀𝗲𝗿 𝗗𝗮𝘁𝗮: attach cloud-config scripts that run on first boot, before you ever SSH in.
Check out VM metrics and set up user data →
Big news.
Together with @megaportnetwork, we're helping build the next generation of AI infrastructure
- A$827M raised
- A$459M in new contract TCV
- Latitude.sh grew from A$60M ARR to A$385M ARR in just 6 months following the acquisition.
Over the last 60 days
We just shipped 𝗢𝗯𝗷𝗲𝗰𝘁 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 🪣
S3-compatible, no request, retrieval or egress fees and no minimum terms.
Two classes: high-performance for AI workloads, standard for cold storage. Point your existing S3 tooling at it and go!
→ For locations and pricing:
Most Kubernetes workloads belong on VMs.
but if you care about deterministic latency, direct hardware access, predictable networking or running inference close to the metal, virtualization becomes overhead.
Our Software Engineer wrote about running Kubernetes on bare metal
Bare metal Kubernetes makes the most sense for workloads like:
→ validator infrastructure
→ inference serving
→ HFT / real-time APIs
→ multiplayer backends
→ platform engineering
→ compute-heavy batch pipelines
Anywhere p99 latency matters more than averages.
If you want to understand how modern infra teams are running K8s closer to the hardware layer, this one is worth the read.
Read the full post:
latitude.sh/blog/kubernete…