Overview
Cloud bills are the new Oracle licenses. Unpredictable, frightening, and growing faster than your revenue. GPU spend is making the problem dramatically worse. Customers are discovering that their first AI pilot cost more in raw compute than the entire project budget, and production is still months away from launch.
Viscosity Cloud and AI FinOps gives you the visibility, the optimization, and the ongoing discipline to turn cloud spending from a source of anxiety into a managed operating cost. We focus heavily on Oracle Cloud Infrastructure, including the new AI era workloads, while also covering AWS, Azure, and Google Cloud Platform for customers with multi cloud footprints.
Why This Matters
Three forces are colliding in enterprise IT right now. Cloud complexity has reached the point where almost no team has time to master all of the pricing models, reserved instance options, and committed use discounts that each provider offers. AI workload costs are exploding because GPU instances, inference tokens, vector storage, and model hosting cost ten to a hundred times what traditional database workloads cost. And CFO scrutiny has reached a peak, because finance teams have finally lost patience with surprise cloud bills and they want someone accountable.
FinOps is the practice of aligning cloud spending with actual business value. We bring that practice to your Oracle centric environment with deep expertise in the OCI cost model and the unique economics of AI workloads.
What We Do
Every engagement begins with a comprehensive cloud spend assessment. We audit your full footprint across OCI, AWS, Azure, and GCP. We allocate costs by project, business unit, and application so your finance team can finally answer who is spending what. We identify waste in the form of unused reserved capacity, oversized instances, orphaned resources, and idle GPUs. And we benchmark your spend against industry cost metrics so you know whether you are paying a premium or getting fair value.
On the AI workload side, our optimization work goes deep. GPU rightsizing is often the biggest single win, because most teams default to H100s when A10s would handle the actual load. We optimize inference costs through batching, caching, model routing, and prompt optimization. We run model selection analysis to tell you when GPT-4 is overkill and an open source Llama model would serve the same purpose at a fraction of the cost. We optimize vector store costs through smarter index strategies and embedding compression. And we plan reserved AI capacity against on demand pricing so your commitments match your real usage patterns.
OCI gets special attention because that is where most of our customers live. We optimize Oracle Universal Credits usage and help you plan multi year commitments with real risk analysis. We tune Autonomous Database auto scaling so you are not paying for capacity you never use. We compare Exadata Cloud at Customer against ExaDB D in cost terms so you can choose with confidence. We analyze BYOL against license included options. And we help you maximize the OCI Free Tier for your development and test environments.
Reserved capacity and commitment strategy is where real dollars move. We analyze the breakeven point between reserved instances, savings plans, and on demand pricing. We model multi year commitments with appropriate risk analysis, and we optimize your portfolio across cloud providers when you have a multi cloud posture.
Once the foundation is set, we move into continuous FinOps operations. Monthly cost review reports with trend analysis. Real time anomaly detection that alerts you the moment spend spikes unexpectedly. Quarterly deep dive optimization reviews. Executive ready dashboards for your leadership and finance teams. And chargeback and showback implementation so every business unit sees its own usage and cost impact.
Engagement Models
We offer the service in three flexible models depending on your needs. The FinOps Health Check is a one time audit that runs two to four weeks and identifies immediate savings opportunities. In our experience, customers typically discover twenty to thirty five percent waste that can be eliminated within the first thirty days.
The Managed FinOps model is a monthly retainer for continuous operations. We handle monitoring, optimization recommendations, reporting, and execution support. This model fits organizations with cloud spend above fifty thousand dollars per month, where ongoing discipline pays for itself many times over.
For larger estates we offer Gain Share FinOps, where our fee is a percentage of documented savings. You pay nothing up front, and we only get paid when we deliver measurable cost reductions. It is the most customer friendly pricing model in the market, and it works because we are confident in the results.
Why Viscosity Technology
Most FinOps consultancies come from a cloud native background and do not understand Oracle’s unique licensing, pricing, and architectural quirks. Most Oracle consultancies do not have modern FinOps discipline built into their practice. Viscosity Technology sits at the intersection of both worlds. Deep OCI, Oracle Database, and Exadata expertise combined with rigorous FinOps methodology and AI workload optimization skills. We know where the Oracle bills hide, and we know how to read a GPU invoice.
Who This Is For
This service fits organizations whose OCI bills have grown faster than planned. It fits companies piloting or scaling AI workloads and watching the GPU line item climb every month. It fits CFOs and finance teams that want genuine cloud cost predictability instead of the chronic surprises they have been getting. It fits IT leaders renegotiating Oracle Universal Credits commitments. And it fits multi cloud organizations that need a single pane of glass for cloud spend across providers.