Diom

Diom

Svix
+
+

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About

Diom is a backend components platform for building robust services, offering a set of well-integrated infrastructure primitives for backend and data engineers, including caching, key-value storage, rate-limiting, idempotency, queues, and streams. It is designed so engineers no longer need to build fragile, slow, and hard-to-maintain solutions on top of Redis, Postgres, or other data stores, and can instead rely on powerful, performant, well-tested components built for common backend patterns. Diom can replace multiple services such as Redis, RabbitMQ, and Kafka for many use cases, reducing service dependencies, operational complexity, monitoring overhead, backups, configuration work, and deployment costs. Its components support low-latency operations, minimal round-trip, HTTP-based APIs, SDKs for popular languages, and deployment in common backend environments.

About

LMCache is an open source Knowledge Delivery Network (KDN) designed as a caching layer for large language model serving that accelerates inference by reusing KV (key-value) caches across repeated or overlapping computations. It enables fast prompt caching, allowing LLMs to “prefill” recurring text only once and then reuse those stored KV caches, even in non-prefix positions, across multiple serving instances. This approach reduces time to first token, saves GPU cycles, and increases throughput in scenarios such as multi-round question answering or retrieval augmented generation. LMCache supports KV cache offloading (moving cache from GPU to CPU or disk), cache sharing across instances, and disaggregated prefill, which separates the prefill and decoding phases for resource efficiency. It is compatible with inference engines like vLLM and TGI and supports compressed storage, blending techniques to merge caches, and multiple backend storage options.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Backend and data engineering teams that need reliable infrastructure primitives for caching, rate-limiting, queues, streams, and key-value storage without managing multiple specialized services

Audience

AI engineers and infrastructure teams looking for a tool to lower latency, reduce compute cost, and scale throughput

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Svix
Founded: 2021
United States
diom.svix.com

Company Information

LMCache
United States
lmcache.ai/

Alternatives

Alternatives

BaseRT

BaseRT

Base Compute
Nanobase AI

Nanobase AI

Bumu Technologies
DeepInfer

DeepInfer

DeepSeek
SQLife

SQLife

Bitifyware
Bit

Bit

Bit.dev

Categories

Categories

Integrations

Apache Kafka Supported
Go Supported
Java Supported
PostgreSQL Supported
Python Supported
R Supported
RabbitMQ Supported
Redis Supported
TypeScript Supported

Integrations

Apache Kafka Not Supported
Go Not Supported
Java Not Supported
PostgreSQL Not Supported
Python Not Supported
R Not Supported
RabbitMQ Not Supported
Redis Not Supported
TypeScript Not Supported
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