---
title: "Public Research Terms of Use | Aguasto"
description: "Terms for Aguasto's public research website, APIs, MCP connections and educational calculators, operated by Altss LLC."
canonical: "https://www.aguasto.com/terms"
last-updated: "2026-10-27"
---

# Public Research Terms of Use | Aguasto

Canonical HTML: [Terms of use](https://www.aguasto.com/terms)

> Terms for Aguasto's public research website, APIs, MCP connections and educational calculators, operated by Altss LLC.

Aguasto / public service

## Public research  terms of use.

Terms for the Aguasto website, public research APIs, MCP research connections and educational calculators. Effective October 27, 2026.

### Operator and scope

Altss LLC operates this public service using the Aguasto brand. These terms cover the public Aguasto website, public research APIs, MCP research connections and educational calculators. They do not offer GPU capacity, reservations, paid inference, service accounts or investment products. Those services are not available through these interfaces.

### Public access

Public research and calculators can be used without an account or payment. Use the documented endpoints and respect their input limits, origin checks and request limits. Do not attempt to obtain nonpublic data, bypass access controls, interfere with other users or present synthetic test results as operating service availability. An integration listing does not authorize actions outside the tools' stated scope.

### Research and calculations

Research descriptions and links help users locate published material; they are not generated answers or a complete substitute for the linked sources. Check original sources, dates, configuration boundaries and units before relying on a claim. Calculator outputs depend on supplied assumptions and are subject to the limitations described with each result. They are not hardware-fit guarantees, price quotes or measured Aguasto performance.

The free public interfaces are supplied for informational use, without a promise of uninterrupted availability or suitability for a particular workload. No operating GPU capacity, service-level commitment or commercial compute contract is created by visiting the website, making a public API request or preparing an inquiry.

### Content and software rights

Aguasto retains its rights in original content and brand assets. You may read and link to public references and use the documented public interfaces. This does not grant a general right to republish complete articles, redistribute brand assets or claim endorsement. Third-party material remains subject to its own rights and license terms. SDK packages remain governed by their packaged terms; publishing them does not grant an open-source license or change the existing rights-reserved terms.

### Inputs and privacy

Do not send passwords, tokens, private workloads, customer records or other confidential information to these public interfaces. The application does not save research queries or calculator inputs. Hosting providers may process technical request metadata; temporary admission controls are described in the [developer guide](https://www.aguasto.com/developers) . See the [privacy notice](https://www.aguasto.com/privacy) . A host such as ChatGPT may separately process conversations under its own policies.

### Changes and ending use

Public research may be updated with its published modification dates. API compatibility and retirement notices follow the [versioning and deprecation policy](https://www.aguasto.com/developers/versioning) , including its existing notice policy. Stop making requests to discontinue use; the public interfaces issue no service tokens or accounts that need cancellation. Commercial compute terms would require a separate future offering and agreement.

### Contact

Questions about the public service or these terms: [contact@aguasto.com](mailto:contact@aguasto.com) . Correspondence address: 390 NE 191st St, STE 8906, Miami, FL 33179, United States. This is a correspondence address, not a claimed GPU facility or operating data center. Website inquiry delivery remains disabled; use the [published contact instructions](https://www.aguasto.com/contact) .

## Company navigation

- [API versioning policy](https://www.aguasto.com/developers/versioning)
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- [Development friction](https://www.aguasto.com/research/hyperscale-development-friction)
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- [AMD Instinct MI300X](https://www.aguasto.com/gpus/mi300x)
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- [AMD Instinct MI355X](https://www.aguasto.com/gpus/mi355x)
- [AMD Instinct MI455X](https://www.aguasto.com/gpus/mi455x)
- [AMD Helios](https://www.aguasto.com/gpus/helios)
- [GLM-4.5](https://www.aguasto.com/models/glm-4-5)
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- [DeepSeek-R1](https://www.aguasto.com/models/deepseek-r1)
- [Llama 3.3 70B Instruct](https://www.aguasto.com/models/llama-3-3-70b-instruct)
- [Gemma 3 27B IT](https://www.aguasto.com/models/gemma-3-27b-it)
- [gpt-oss-120b](https://www.aguasto.com/models/gpt-oss-120b)
- [Kimi-K2-Instruct](https://www.aguasto.com/models/kimi-k2-instruct)
- [GLM-5.3](https://www.aguasto.com/models/glm-5-3)
- [Qwen3.8-27B](https://www.aguasto.com/models/qwen3-8-27b)
- [DeepSeek-V4.1-Flash](https://www.aguasto.com/models/deepseek-v4-1-flash)
- [Llama 4 Scout 17B-16E Instruct](https://www.aguasto.com/models/llama-4-scout-17b-16e-instruct)
- [Gemma 4 31B IT](https://www.aguasto.com/models/gemma-4-31b-it)
- [Kimi K3](https://www.aguasto.com/models/kimi-k3)
- [vLLM](https://www.aguasto.com/inference-stack/vllm)
- [SGLang](https://www.aguasto.com/inference-stack/sglang)
- [TensorRT-LLM](https://www.aguasto.com/inference-stack/tensorrt-llm)
- [NVIDIA Dynamo](https://www.aguasto.com/inference-stack/dynamo)
- [NVIDIA Triton Inference Server](https://www.aguasto.com/inference-stack/triton)
- [AMD ROCm](https://www.aguasto.com/inference-stack/rocm)
- [Ray Serve](https://www.aguasto.com/inference-stack/ray-serve)
- [Kubernetes GPU orchestration — NVIDIA device plugin](https://www.aguasto.com/inference-stack/kubernetes)
- [Model weights are only the beginning of the memory budget](https://www.aguasto.com/learn/model-weights-and-runtime-memory)
- [Why tokens per second is not enough to benchmark inference](https://www.aguasto.com/research/inference-benchmark-methodology)
- [Prefill, decode and the cost of separating them](https://www.aguasto.com/learn/prefill-decode-and-disaggregated-serving)
- [Choosing between vLLM, SGLang and TensorRT-LLM](https://www.aguasto.com/learn/choosing-an-inference-serving-framework)
- [From Power to Inference—Building a Distributed AI Compute Network](https://www.aguasto.com/learn/from-power-to-inference)
- [Dedicated compute and shared inference: compare the whole workload](https://www.aguasto.com/insights/dedicated-and-shared-inference-economics)
- [Distributed inference reliability begins with the failure boundary](https://www.aguasto.com/learn/distributed-inference-reliability)
- [Core Scientific: reading contracted, energized and billed capacity](https://www.aguasto.com/research/cases/core-scientific-capacity-disclosures)
- [Why Modular AI Infrastructure Matters Now](https://www.aguasto.com/research/why-modular-ai-infrastructure-matters-now)
- [What Is a Modular AI Data Center?](https://www.aguasto.com/learn/what-is-a-modular-ai-data-center)
- [How Modular AI Data Centers Are Built and Commissioned](https://www.aguasto.com/learn/modular-data-center-factory-to-commissioning)
- [Liquid Cooling for High-Density GPU Systems: Follow the Interfaces](https://www.aguasto.com/learn/liquid-cooling-gpu-rack-interfaces)
- [Why Electricity Availability Shapes AI Infrastructure Deployment](https://www.aguasto.com/research/electricity-availability-and-time-to-power)
- [What Is KV Cache? Capacity, Reuse and Isolation](https://www.aguasto.com/learn/kv-cache-capacity-and-policy)
- [Continuous Batching: Throughput Without Hiding Latency](https://www.aguasto.com/learn/continuous-batching-and-latency)
- [Applied Digital: Reading the Polaris Forge 1 Delivery Milestones](https://www.aguasto.com/research/cases/applied-digital-polaris-forge-capacity-milestones)
- [Crusoe Abilene: Separate Delivered Infrastructure from Expansion Plans](https://www.aguasto.com/research/cases/crusoe-abilene-delivery-and-expansion)
- [Data Center Cooling: Choosing Air, Liquid, Dry and Hybrid Architectures](https://www.aguasto.com/learn/data-center-cooling-air-liquid-dry-hybrid)
- [Can Data Centers Reduce Water Consumption? Define the Water Boundary First](https://www.aguasto.com/research/data-center-water-consumption-and-withdrawal)
- [Measuring PUE, WUE and AI Compute Efficiency at the Right Boundary](https://www.aguasto.com/learn/measuring-pue-wue-and-ai-compute-efficiency)
- [The Environmental Trade-offs of High-Density AI Infrastructure](https://www.aguasto.com/research/environmental-tradeoffs-and-infrastructure-reuse)
- [Selecting GPU Systems for Enterprise Inference](https://www.aguasto.com/learn/selecting-enterprise-inference-gpu-systems)
- [Networking Rack-Scale AI Systems: Define the Communication Boundary](https://www.aguasto.com/learn/rack-scale-ai-networking-boundaries)
- [Official LinkedIn](https://www.linkedin.com/company/aguasto)

This is a generated representation of the public HTML page. Diagrams are conceptual. GPU and inference services are planned and are not currently available to book or call. The contact page describes the available inquiry flow.
