Infrastructure Engineers, Not Cloud Resellers
We build and operate the physical GPU infrastructure that powers the next generation of AI — without hypervisor overhead, without markup, without compromise.
MISSION
Our Mission
Quant Scale was founded on a simple premise: the most capable AI teams in the world deserve infrastructure that matches their ambition. Cloud providers optimize for margin. We optimize for performance.
We source hardware directly from OEMs, operate Tier III+ facilities, and deploy bare-metal GPU clusters with the kind of network fabric — InfiniBand HDR/NDR, NVLink, RoCE v2 — that distributed training actually requires.
Every configuration we deploy is validated by infrastructure engineers who have run production AI workloads at scale. We don't sell compute. We build the foundation your models run on.
Bare Metal First
We never put a hypervisor between your workload and the hardware. Every GPU we deploy is accessible at the metal.
Contractual SLAs
Our uptime guarantees come with financial penalties. If we miss the SLA, you receive credits — automatically.
No Markup on Hardware
Direct OEM sourcing means you pay close to cost for hardware. We make money on services, not on inflating BOMs.
Engineers, Not Account Managers
Your primary contact is an infrastructure engineer who has deployed clusters like yours — not a sales rep reading a spec sheet.
TEAM
The people behind the infrastructure
Every member of our team has operated production GPU infrastructure at scale. No generalists, no account managers — engineers only.
Issac Zhu
Co-Founder & CEO
Former infrastructure lead at a hyperscale AI lab. 12 years designing GPU clusters for distributed training workloads.
Priya Nair
Co-Founder & CTO
Ex-NVIDIA solutions architect. Deep expertise in InfiniBand fabric design, NCCL tuning, and large-scale collective communication.
Jordan Reeves
VP of Infrastructure
15 years in data center operations. Led Tier III+ facility buildouts across three US regions with N+1 power and precision cooling.
Aisha Okonkwo
Head of Enterprise Sales
Previously at Dell Technologies and Supermicro. Specializes in BOM optimization and enterprise procurement for AI infrastructure.
Dmitri Volkov
Lead Infrastructure Engineer
Kubernetes and Slurm cluster specialist. Designed orchestration layers for 256-node GPU deployments with sub-600ns InfiniBand latency.
Soo-Jin Park
Head of NOC Operations
Built and runs the 24/7 network operations center. Responsible for 99.9% uptime SLA delivery across all production clusters.
TECHNOLOGY PARTNERS
Technology Partners
Direct OEM relationships with the companies building the hardware that defines modern AI infrastructure.
NVIDIA
GPU ComputePreferred partner for H100, H200, A100, and L40S GPU systems. Direct access to DGX-ready server configurations and NCCL support.
AMD
GPU ComputeAuthorized reseller and integration partner for MI300X and Instinct series accelerators for HPC and AI inference workloads.
Supermicro
Server SystemsPreferred system integrator for SYS-421GE and H13 DGX-ready platforms. Direct factory integration and burn-in testing.
Mellanox / NVIDIA Networking
InterconnectCertified deployment partner for Quantum-2 InfiniBand switches, ConnectX-7 HCAs, and BlueField-3 DPU infrastructure.
Dell Technologies
Server SystemsEnterprise partner for PowerEdge XE9680 and XE8545 GPU server platforms with direct support escalation paths.
Equinix
ColocationColocation partner for US East (Ashburn) facilities with direct IX connectivity and cross-connect to major cloud on-ramps.
Ready to work with us?
Tell us about your workload and we'll design the right infrastructure configuration for your requirements.
Get in Touch