Meta tags:
description= Definitive answers to common AI infrastructure terms — semantic cache, prompt caching, AI gateway, LLM routing, FinOps, edge inference, and more.;
Headings (most frequently used words):
glossary, product, resources, company, social,
Text of the page (most frequently used words):
the (12), and (9), that (8), cache (8), request (6), routing (6), model (5), caching (5), #glossary (4), prompt (4), provider (4), openai (4), cost (4), built (3), terms (3), tools (3), compare (3), guides (3), docs (3), pricing (3), task (3), code (3), providers (3), latency (3), when (3), semantic (3), api (3), llm (3), for (3), ssimplifi (2), bengaluru (2), india (2), blog (2), dashboard (2), category (2), chat (2), type (2), returns (2), byte (2), identical (2), one (2), into (2), gateway (2), across (2), input (2), endpoint (2), works (2), each (2), data (2), observability (2), exact (2), caches (2), near (2), inference (2), proxy (2), edge (2), discipline (2), infrastructure (2), prism (2), ravi, rikuq, com, 2026, email, github, twitter, social, refunds, privacy, security, contact, about, company, resources, faq, free, signup, product, classifying, summary, fix, etc, best, firing, same, two, parallel, returning, first, successful, response, tail, reduction, technique, speculative, prior, responses, new, semantically, similar, not, just, previously, cached, primitives, anthropic, cache_control, blocks, automatic, rather, than, layer, native, reusing, processing, shared, prefix, multiple, requests, cut, token, speaks, completions, wire, protocol, any, sdk, against, without, changes, compatible, automatically, backup, primary, error, times, out, multi, failover, dynamically, choosing, which, handles, based, budget, tolerance, instrumentation, captures, per, tokens, status, errors, feedback, plane, engineering, require, inputs, use, embeddings, cosine, similarity, match, equivalent, prompts, running, logic, fronts, centers, customer, instead, from, single, origin, deterministic, hashing, full, messages, parameters, key, makes, lookups, correct, fingerprinting, sits, between, applications, handling, governance, traffic, emerging, governing, spend, budgets, allocation, audit, policy, enforcement, teams, projects, finops, definitive, sentence, answers, term, has, its, own, page, with, how, matters, deep, dive, home, get, started, sign, definitions,
Text of the page (random words):
glossary definitions for ai infrastructure terms prism by ssimplifi prism guides compare tools pricing docs blog dashboard sign in get started guides compare tools pricing docs home glossary glossary definitive one sentence answers to ai infrastructure terms each term has its own page with the how it works and when it matters deep dive ai finops the emerging discipline of governing ai api spend budgets allocation audit and policy enforcement across teams and projects ai gateway a proxy that sits between applications and ai providers handling routing caching observability and governance for llm api traffic cache fingerprinting deterministic hashing of a request s full input messages model parameters into a cache key the discipline that makes cache lookups correct edge inference running ai model inference or proxy logic that fronts ai providers at edge data centers near the customer instead of from a single origin exact vs semantic cache exact caches require byte identical inputs semantic caches use embeddings cosine similarity to match near equivalent prompts llm observability instrumentation that captures per request latency cost tokens cache status errors and feedback the data plane for ai cost engineering llm routing dynamically choosing which ai model handles each request based on task type latency budget and cost tolerance multi provider failover automatically routing a request to a backup ai provider when the primary returns an error or times out openai compatible endpoint an api endpoint that speaks the openai chat completions wire protocol so any openai sdk works against it without code changes prompt caching reusing the model s processing of a shared prompt prefix across multiple requests to cut input token cost provider native caching caching primitives built into the ai provider anthropic s cache_control blocks openai s automatic prompt cache rather than gateway layer caching semantic cache a cache that returns prior responses when a new prompt is semantically similar not just byte identical to a previously cached one speculative routing firing the same request to two ai providers in parallel and returning the first successful response a tail latency reduction technique task type routing classifying a request s task category code summary chat code fix etc and routing to the model that s best at that category product pricing docs free signup dashboard faq resources guides compare glossary tools blog company about contact bengaluru india security privacy terms refunds social twitter github email 2026 ssimplifi built in bengaluru india built by ravi rikuq com
|