NETdepot, a leader in managed hosting and infrastructure solutions, today announced the launch of its Cloud GPU platform featuring the NVIDIA L40S. This innovative solution delivers bare-metal GPU performance with enterprise-grade security, enabling organizations to accelerate their AI, machine learning, and high-performance computing (HPC) initiatives with unprecedented flexibility and control.
Also Read:ย CIO Influence Interview with Anuj Jaiswal, Vice President of Products at Fortanix
NETdepot’s Cloud GPU platform sets a new standard for performance and security in the GPU cloud computing space. The solution achieves near bare-metal performance with less than 1% overhead, compared to the 5-15% performance impact typically seen with traditional virtualized GPU solutions.
“Our Cloud GPU platform represents a significant advancement in how businesses can access and utilize GPU computing resources,” saidย Jeff Hinkle, Chief Executive Officer at NETdepot. “By eliminating the traditional trade-offs between performance, security, and flexibility, we’re enabling organizations to push the boundaries of what’s possible in AI and HPC workloads while maintaining enterprise-grade security and compliance standards.”
NETdepot’s implementation provides unique capabilities that set it apart in the market, including hardware-enforced memory isolation between tenants and dynamic resource scaling without service interruption. The platform supports all NVIDIA drivers and CUDA versions natively, ensuring complete compatibility with existing workflows and tools.
Also Read:ย CIO Influence Interview with Kevin Bocek, Chief Innovation Officer at Venafi
The platform’s key innovations include:
- Hardware-Level Security: Complete workload isolation through hardware-enforced memory separation, making it suitable for regulated industries and compliance-sensitive workloads
- Zero-Overhead Performance: Direct GPU pass-through eliminates the hypervisor bottleneck, delivering bare-metal performance for AI training, inference, and compute workloads
- Dynamic Scaling: Instant provisioning and the ability to adjust GPU resources without system downtime or service interruption
- Enterprise Flexibility: Support for custom GPU configurations and live migration capabilities, enabling seamless workload mobility across hosts
“The platform’s architecture enables customers to achieve the perfect balance of performance, security, and cost-efficiency,” added Hinkle. “Whether organizations are developing cutting-edge AI models, processing complex visual data, or running demanding scientific computations, our Cloud GPU platform delivers the power and flexibility they need to succeed.”
[To share your insights with us as part of editorial or sponsored content, please write toย psen@itechseries.com]
