New research from Intersect360 Research

Fuzzball is the fast lane to production AI on one powerful platform

AI's hardest workloads, drug discovery, materials science, engineering simulation, need the same specialized compute, sovereign data control, and multi-node orchestration that HPC has always required. New research from Intersect360 shows why most enterprises aren't there yet, and how Fuzzball closes the gap on one platform.

100x

Throughput gain

FYR Diagnostics, after moving to Fuzzball

$500B+

Projected annual AI infrastructure spend by 2030

93%

of enterprises already budget for AI

82% budget separately for HPC

Two-thirds

of HPC-AI leaders say the workloads already share the same hardware

THE GAP

Where enterprise AI still falls short

Translation and code generation are largely solved problems. Scientific and engineering work is different: it needs specialized compute, proprietary data at scale, and orchestration across many nodes acting as one, exactly what HPC has always required and what most AI infrastructure was never built to give.

New Intersect360 Research backs this up directly. In a survey of 458 enterprises, 93% already budget for AI and 82% budget separately for HPC, and two-thirds of HPC-AI leaders say the workloads already share the same hardware. The infrastructure is already converging. Most enterprises just don't have one platform built to run it that way yet.

“Open source always wins. It won in the operating system, it won in HPC, and it will win in AI.”
Greg Kurtzer
Founder and CEO, CIQ

ONE PLATFORM CHANGES THAT

Where most AI infrastructure stalls, and where Fuzzball takes over

Where AI infrastructure stalls today

AI and HPC run on separate stacks, bolted together instead of built together
Data has to leave your walls to reach the compute or the model you need
Scaling from pilot to production means re-architecting, not just growing
Control over where data and compute live gets traded away for speed

Where Fuzzball takes over

One platform orchestrates AI and HPC workloads together, no stitching required
Data and compute stay on infrastructure you control, on-prem, hybrid, or both
The same workflow scales from a single DGX Spark to a global, multi-cloud fleet
Sovereignty is built into the orchestration layer itself, not bolted on after

ONE POWERFUL PLATFORM

Fuzzball: every hard AI workload, one powerful platform

Turnkey models

Deploy and serve production-grade models fast, and swap in the next one the day it drops, no re-plumbing required.

Training and fine-tuning

Reproducible, containerized, gang-scheduled runs that scale from one GPU to thousands without changing the workflow.

Inference, built in

Service Endpoints turn a trained model into a live, autoscaling API the moment training finishes, no separate handoff.

Agents and RAG on the same platform

Host agentic workloads and retrieval services on infrastructure you already control, not scattered across external tools.

Deployment everywhere

CoreWeave, AWS, Oracle Cloud Infrastructure, Google Cloud, Microsoft Azure, and on-premises, plus native support for NVIDIA DGX Spark.

Sovereignty by design

Your data and model weights never have to leave your infrastructure, on-prem, hybrid, or both.

See the research. See it running.

Read what 458 enterprises told Intersect360 about where their AI investment is actually going, and what closes the gap. Then see Fuzzball do it on your own infrastructure.

PUT FUZZBALL TO THE TEST