Infrastructure for AI Agents

Build, deploy and scale autonomous AI agents powered by modern LLMs.

LangChainLlamaIndexCrewAIOpenAI SDKAutoGenHaystack

The infrastructure layer for agentic AI

Run production-ready AI agents with GPU acceleration, persistent memory, APIs and tool integrations.

Designed for enterprise copilots, automation platforms and next-generation AI products.


What your agents can do

Reasoning

Multi-step reasoning over complex tasks.

Planning

Break down goals into executable steps.

Tool Calling

Invoke external tools and functions.

RAG

Ground responses in retrieved, up-to-date context.

Memory

Persist context across sessions and tasks.

Multi-agent orchestration

Coordinate specialized agents on shared goals.

Function Calling

Structured calls into your own systems.

Web Search

Pull in live information when needed.

The building blocks, already wired together

01

Vector databases

Built-in support for retrieval and long-term memory.

02

GPU inference

Low-latency inference for reasoning and tool-calling loops.

03

Fast storage

Quick access to context, logs and embeddings.

04

API access

Integrate agents into your existing products.

05

Autoscaling

Handle bursts in agent activity automatically.

06

Monitoring

Observe agent behavior and performance in production.

RBuilt for serious training runs

Popular

H200

141GB HBM3e · Ideal for large-context, memory-heavy agents.
Large contextProduction agents

H100

80GB HBM3 · Strong general-purpose choice for agent inference.
Multi-agent systems

RTX 4090

Affordable AI computing.
Dev & prototyping

How an agent request flows

Agents run on GPU-accelerated inference endpoints with a vector database for memory and retrieval, API access for tool calling, and autoscaling to handle bursts in agent activity.

Agent Runtime

Tools, APIs & vector memory

GPU Inference

Reasoning & planning

Action / Response

Executed task or reply

Teams putting agents into production

Customer Support

Agents that resolve tickets and escalate when needed.

Coding Assistants

In-IDE or CI-integrated coding agents.

Research Agents

Multi-step research and synthesis tasks.

Sales Automation

Outreach, qualification and follow-up agents.

Internal Knowledge Bases

Agents that answer from internal docs.

Business Process Automation

Agents that execute multi-step workflows.

Works with your agent framework of choice

  • Low-latency reasoning loops
  • Scales with concurrent agent sessions
  • Persistent memory across tasks
LangChainLlamaIndexCrewAIOpenAI SDKAutoGenHaystack

Built to fit your existing stack

Every deployment ships with API access and console control, so you can automate provisioning or hand it to your engineer of record.

Full API reference and setup guides are shared during onboarding — reach out and we'll get you access.

Talk to an Expert
# Run an agent task curl -X POST https://api.interhash.ai/v1/ai-agents \ -H "Authorization: Bearer $INTERHASH_KEY" \ -H "Content-Type: application/json" \ -d '{"agent": "support-agent", "input": "Where is my order?", "tools": ["order_lookup"]}'

Frequently asked questions

Can agents call external APIs and tools?
Yes, function calling and tool integrations are supported out of the box.
Is persistent memory supported?
Yes, agents can use a vector database to retain context across sessions.
Can I run multi-agent systems?
Yes, multi-agent orchestration is supported alongside frameworks like CrewAI and AutoGen.

Launch AI agents in minutes.