Alternatives to Nscale

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

EU-sovereign GPU cloud for AI training and inference — Hyperstack on-demand or single-tenant Secure Private Cloud.

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

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

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

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.

vLLM turns open-weight LLMs into high-throughput, OpenAI-compatible inference endpoints on your own GPUs.

Modular's unified inference stack delivers hardware-portable LLM serving from GPU kernel to OpenAI-compatible cloud endpoint

European GPU cloud with self-service NVIDIA GB300, B300 and H200 instances plus serverless GPU inference

Crusoe Cloud GPU instances, serverless inference, and fine-tuning priced for AI teams that want orchestration included

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

Krutrim Cloud rents A100 and H100 GPU instances in India with rupee billing and data residency.

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.

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.

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

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

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.

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

TensorRT-LLM is NVIDIA's open-source inference library for high-throughput LLM and visual generation serving on NVIDIA GPUs.

Axelera AI builds European edge inference accelerators — Metis and Europa AIPUs for vision, agentic and GenAI workloads from M.2 modules to

FuriosaAI's RNGD inference accelerators and NXT RNGD Server serve LLMs in 3 kW air-cooled racks via OpenAI-compatible APIs.