Alternatives to Agentfm Core

Mesh LLM splits large open-weight models into layer ranges across your own GPUs and serves them through one OpenAI-compatible endpoint at localhost:9337.

Cerebras inference cloud: frontier LLMs at up to 750 tokens/sec for real-time agents and voice AI.

MAX Engine serves open models through one OpenAI-compatible endpoint across NVIDIA, AMD, Apple silicon, CPUs, and ASICs.

Rent GPUs on Vast.ai's marketplace — 20,000+ cards, per-second billing, and API-native provisioning agents can drive.

Serverless GPU compute with forkable microVMs and millisecond-billed sandboxes for AI agents.

Lilac turns idle GPU clusters into a white-labeled neocloud with spot H100 leases and serverless inference.

Salad Cloud rents idle consumer GPUs from $0.015 per GPU-hour, billed per second, for retryable inference and batch work.

Parallax is a distributed model serving framework for building your own self-hosted AI cluster across scattered GPUs, Macs, and

Kalavai pools spare GPUs across your laptops, desktops and cloud VMs into one self-hosted AI compute cluster you control.

Arena by AgileRL turns your data into RL-trained specialist agents you host on your own infrastructure.

Open-source worker client that donates your idle GPU or CPU cycles to the AI Horde so anyone can generate images and text for free.

DistriFusion splits SDXL image generation across multiple GPUs for up to 6.1x lower latency at high resolution — no retraining required.

Serverless GPU cloud for production AI — declare Python functions and hardware in one file and pay per second.

Groq delivers fast LLM inference on its own LPU and LPX silicon through an OpenAI-compatible API.

Run and fine-tune image, video, speech and LLM models with one Replicate API call

Managed Ray platform for distributed training, multimodal data curation, batch embedding, and post-training on your own GPUs

Run fast, production-grade GPU inference on dedicated GPUs or token-priced Model APIs — with per-minute billing.

Distributed compute clusters across hyperscalers and neoclouds for massively parallel AI workloads

Runware is one inference API for 400K+ image, video, audio, LLM and 3D models on a single endpoint.

Serverless AI inference on 100+ open models via an OpenAI-compatible API, billed per token with no GPU overhead.

Run open-weight model inference on Together AI — serverless APIs, batch jobs, and GPU clusters.

Rent per-second GPU pods, autoscaling serverless inference endpoints and multi-node clusters on Runpod's AI developer cloud.

Query image, video, speech, music and text generation through one multimodal API key

Fireworks AI runs open-model inference with per-token pricing, model routing, and fine-tuning on one platform.

Cerebrium is a serverless GPU platform for real-time AI, with memory and GPU snapshotting that restores CUDA workloads in about 3.38

Open-source LLM fine-tuning framework for MoE, LoRA, and GRPO runs on your own GPUs

Serverless APIs for 200+ open-weight LLM, image, audio, video and vision models, plus GPU cloud and an agent sandbox.

CoreWeave is the AI-native GPU cloud for training, reinforcement learning post-training, and low-latency inference on NVIDIA cluster-scale

LLaMA-Factory fine-tunes 100+ LLMs and VLMs with a zero-code CLI and the LlamaBoard web UI

Cactus is an on-device inference stack: Needle 3 for function calling in an 8–29 MB binary and Whistle for speech-to-text in 16.9 MB, all CPU-only.