Alternatives to DeepSim, Inc.

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

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

Training-free distributed inference that splits SDXL generation across multiple GPUs for up to 6.1x lower latency

Vast.ai is a GPU rental marketplace where market-set prices and per-second billing let you provision 20,000+ GPUs from code.

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

Verda (formerly DataCrunch) is a European GPU cloud: on-demand NVIDIA instances, InfiniBand clusters, and serverless inference.

Rent GPU instances and per-second GPU sandboxes for AI training, RL rollouts, and agent workloads from $0.35/hr.

Paperspace is a cloud GPU platform from DigitalOcean offering per-second-billed NVIDIA H100, A100 and V100 instances, hosted notebooks, and managed ML training

Rack-scale AI inference system using log-space math to serve multi-trillion-parameter models at 608 PFLOPS per rack.

Serverless GPU cloud for production AI — declare Python functions and hardware in one file, scale to thousands of GPUs, pay per second.

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

DeepInfra runs serverless AI inference on 100+ open models with pay-per-token pricing and an OpenAI-compatible API.

Cerebras runs frontier models at up to 750 tokens/sec for latency-critical AI agents and voice apps.

Together AI runs open-weight model inference through serverless APIs, batch jobs, and GPU clusters.

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

Fireworks AI runs open-weight model inference, orchestration and training on one platform with per-token and per-GPU-second pricing.

Cactus runs on-device function calling and speech-to-text models in sub-30 MB binaries on phones, wearables, and Raspberry Pi.

Modular's unified inference stack runs the same container and OpenAI-compatible API from GPU kernel to cloud endpoint

Deploy custom ML models on serverless Nvidia GPUs with per-second billing and scale-to-zero.

GMI Cloud Inference Engine serves frontier multimodal models through one OpenAI-compatible API on dedicated NVIDIA GPUs.

An open-source, readable LLM inference engine written in Python with hand-written CUDA and Triton kernels.

Wafer Pass swaps per-token inference billing for a flat-rate subscription on open models like GLM, Qwen, DeepSeek, and Kimi.

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

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

Nscale sells sovereign GPU cloud capacity — reserved compute, inference endpoints, and AI data centers it owns and powers.

Flama packages any trained model into one .flm file and serves it as a production HTTP API with a single CLI command.

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

SambaNova Cloud runs open-weight models like MiniMax M2.7 and DeepSeek-V3.1 on custom RDU chips for fast, power-efficient inference.

EmpirioLabs AI runs pay-as-you-go inference across text, image, video, audio and 3D, billed on one credit balance.

Synexa AI runs 100+ image, video, and 3D diffusion models through one serverless GPU API call at up to 60% below Replicate and Fal.ai.