
PiKNiK is a US-based white-glove IaaS operator delivering AMD and NVIDIA GPU and CPU compute, high-performance block and object storage (web2 and web3), networking and migration engineering across PoPs in San Diego, Las Vegas and Houston — fitting operating models whose infrastructure footprint is meaningful enough that hands-on architecture, sizing and lifecycle support is more useful than a self-service portal. Fibi sources and negotiates PiKNiK on your behalf, at no cost to your business.
Portfolio
Managed compute, high-performance storage, web3-aligned data infrastructure, networking and white-glove engineering — delivered with hands-on architecture from US PoPs.
Dedicated GPU compute for AI, ML training and inference, rendering and HPC — fitting operating models whose workloads are GPU-bound and whose economics cannot absorb hyperscaler GPU pricing, and whose architecture benefits from hands-on sizing of GPU class, interconnect and storage path rather than a self-service catalog.
AMD and NVIDIA-class compute delivered as virtualized or dedicated bare metal — fitting operating models whose workloads are large enough that consumption-based public-cloud spend becomes hard to predict, and whose architecture benefits from predictable infrastructure cost and dedicated capacity.
High-performance block and object storage at petabyte scale — fitting operating models whose data footprint (training datasets, media, scientific output, web3 archives) outpaces self-service tier economics, and whose storage posture benefits from engineered storage paths rather than commodity tiers.
Web3-aligned data storage and infrastructure for decentralized applications and storage networks — fitting operating models whose product is built on distributed-storage primitives, and whose architecture benefits from a US-based operator with native web3 storage expertise.
Networking across San Diego, Las Vegas and Houston PoPs with direct-connect options — fitting operating models with a US-centric workload posture, latency requirements that benefit from West-Coast and South-Central footprint, and security postures that prefer dedicated network paths over generic internet egress.
Hands-on architecture, sizing, deployment and migration engineering — fitting operating models whose infrastructure footprint is meaningful enough that talking to engineers about workload shape is more useful than a console, and whose migration posture (on-prem to cloud, cloud to cloud, hybrid) benefits from engineered cutover rather than lift-and-shift.
Ideal For
Operating models whose workloads are GPU-bound (training, inference, rendering) and whose economics cannot absorb hyperscaler GPU pricing, and whose architecture benefits from engineered GPU and storage paths.
Operating models whose product depends on high-performance compute and storage, and whose research posture benefits from dedicated capacity rather than shared, consumption-priced pools.
Operating models whose data footprint outpaces self-service tier economics, and whose storage posture (web2 SaaS, web3 storage networks, decentralized apps) benefits from engineered, petabyte-class storage paths.
Operating models running an on-prem, hybrid or multi-cloud estate where workloads need to be sized and tuned rather than lifted-and-shifted blindly, and whose migration posture benefits from white-glove engineering.
Why PiKNiK
Structural advantages that justify PiKNiK over self-service public-cloud consumption.
PiKNiK is purpose-built for hands-on engagements — fitting operating models whose infrastructure footprint is meaningful enough that dedicated engineering, sizing and lifecycle support is more useful than a self-service portal, and whose architecture benefits from talking to engineers rather than navigating a console.
Primary compute is AMD and NVIDIA — fitting operating models whose workloads are GPU-bound (AI, ML, rendering, HPC) and whose economics cannot absorb hyperscaler GPU pricing, and whose architecture benefits from engineered GPU and storage paths rather than catalog SKUs.
High-performance block and object storage at petabyte scale across web2 and web3 use cases — fitting operating models whose data footprint outpaces self-service tier economics, and whose storage posture benefits from engineered storage paths rather than commodity tiers.
PoPs in San Diego, Las Vegas and Houston — fitting operating models with a US-centric workload posture and latency requirements that benefit from West-Coast and South-Central footprint, and whose compliance posture prefers a US-based, US-operated stack.
Why Use Fibi
Your contract is with PiKNiK either way. The difference is the comparison, sourcing and ongoing support layer around it.
| Aspect | PiKNiK Direct | PiKNiK Through Fibi |
|---|---|---|
| Pricing | Standard PiKNiK rates | Volume-negotiated — equal or better |
| Vendor comparison | PiKNiK only | PiKNiK vs other IaaS, GPU-cloud and managed-hosting providers |
| Quote turnaround | 5–10 business days | 24–72 hours across multiple options |
| Architecture review | PiKNiK solution architects | Independent advisor representing your interests |
| Post-go-live support | PiKNiK support only | Fibi escalation + PiKNiK support |
| Advisory fee | N/A | $0 — provider-funded |
FAQ
Fibi will scope your compute and storage workload shape, GPU and HPC requirements, data footprint (web2 and web3), networking posture and migration program against PiKNiK and other IaaS, GPU-cloud and managed-hosting providers — so you see how PiKNiK compares before signing, with no obligation and no sales pressure.
Compare PiKNiK against other cloud and compute providers