Alternatives to Integrated Reasoning

Rebellions builds chiplet-based AI inference hardware — Rebel100 silicon, RebelCard, RebelServer, RebelRack and RebelPOD for enterprise LLM

Zettascale builds XPU accelerator chips that cut AI inference and training energy by keeping data close to compute.

Etched builds custom inference silicon and rack-scale frontier inference clusters for trillion-parameter MoE prefill and decode.

SambaNova Cloud delivers fast open-weight LLM inference — MiniMax M3.1 Flash, DeepSeek-V3.1 and gpt-oss-120b on custom RDU silicon.

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.

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

EnCharge AI builds analog in-memory computing silicon that runs AI inference at roughly 200 TOPS on about 8 watts.

No-code LLM fine-tuning GUI for private, air-gapped model customization — H2O LLM Studio delivers sovereign AI training.

Rain AI is a pre-production hardware company building energy-efficient, brain-inspired analog in-memory chips for ultra-low-power AI inference at the edge.

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.

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.

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

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

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

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

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

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.

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.