Performance
Bare-metal GPUs with ~20% faster throughput than virtualized alternatives
Bare-metal GPUs with compute-centric pricing. From model training to global inference. One platform, full control, no bandwidth penalties.
Cloud AI: virtualized GPUs stealing cycles, egress fees eating margins, and third-party optics limiting your interconnect. Edgevana delivers bare-metal performance with integrated connectivity.
Direct hardware access, predictable performance, and economics that work for AI workloads.
Bare-metal GPUs with ~20% faster throughput than virtualized alternatives
Kernel-level access, custom drivers, NUMA-aware tuning
Compute-centric pricing with zero bandwidth penalties
From experimentation to global inference deployment
Connectivity, compute, and deployment. Everything you need for AI at scale.
Direct-attached GPUs without virtualization overhead. On-demand or reserved capacity for training and inference workloads.
Deploy AI at the edge for sub-100ms latency. Global availability across 250,000+ edge access points.
10G to 800G optical transceivers engineered for AI clusters. InfiniBand compatibility with 40%+ savings vs OEM.
Complete AI infrastructure from connectivity to compute to deployment. One platform, no provider switching.
Get started in minutes with bare-metal GPU infrastructure.
Access bare-metal GPU infrastructure with no virtualization overhead
Deploy models in minutes with full kernel-level control
Scale from experimentation to production without provider switching
Optimize with compute-centric pricing and real-time insights
Seamless integration with the frameworks and tools you already use.
Seamless integration with PyTorch, TensorFlow, JAX, and popular ML frameworks
Optimized for both model training and high-throughput inference workloads
Support from development through deployment and ongoing optimization
From model training to global inference deployment. One platform, full control.
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