Hot Aisle vs Theta EdgeCloud

Dell PowerEdge XE9680 servers with 8x 192GB AMD Instinct MI300X GPUs and Intel Xeon CPUs.

Transparent published MI300X rates with self-service VMs metered by the minute through Stripe; 8-GPU bare metal runs on monthly terms.

NetBox-backed inventory plus automated SONiC networking, PXE boot, host setup, and current ROCm drivers, so orchestration is not the first layer.

NUMA-balanced KVM virtual machines with direct GPU access and private isolated networking to avoid noisy neighbors.

8x400G RoCEv2 per chassis plus 100G internet and unlimited bandwidth.

Ubuntu options with ROCm, Docker, and optional K8s/Slurm/Ray installs via cloud-init.

Combines traditional cloud GPUs via Google Cloud and AWS with 30,000+ community-operated edge nodes for flexible compute.

Supply-demand driven pricing where node operators set rates and users select GPUs based on availability and cost.

Routes heavy training jobs to cloud/datacenter GPUs and distributes parallelizable inference across edge nodes.

Reroutes jobs to healthy nodes if a community node goes offline mid-task, ensuring workload continuity.

Docker-based job execution with Jupyter Notebook and SSH access for flexible development environments.

On-demand model inference APIs and dedicated AI model serving with support for popular generative AI models.