
Ultra-fast AI inference on the LPU and LPX platform
FluidStack records 154,620 monthly visits with +7.3% month-over-month growth and Paid, Contact for Pricing pricing. General Compute records 13,828 monthly visits with +7.2% growth and Free Trial, Contact for Pricing pricing.
An inference cloud built on alternative chips, delivering ultra-fast tokens through disaggregated prefill and decode.
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | fluidstack.io | generalcompute.com |
| Pricing Model | Paid, Contact for Pricing | Free Trial, Contact for Pricing |
| Monthly Visits | 154.62K (154,620) | 13.83K (13,828) |
| MoM Traffic Delta | +10.49K (+7.3%) | +924 (+7.2%) |
| Primary Market & Share | 🇺🇸 United States (95.7%) | 🇺🇸 United States (55.3%) |
| Direct Visits / mo | 47.87K | 6.73K |
| User Rating | 4.4 | 4.2 |
| Supported Platforms | Website | Website |

Gigawatt-scale AI compute, built and operated end to end
FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.
Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
An inference cloud built on alternative chips, delivering ultra-fast tokens through disaggregated prefill and decode.
Prompt processing runs on NVIDIA GPUs while token generation runs on faster ASICs from Cerebras, SambaNova, Positron AI, and d-Matrix.
Buy racks of GPUs for prefill and ASICs for decode, with General Compute handling cooling, power, networking, and the orchestration software.
Inspect each accelerator in an interactive 3D view with its SRAM, power draw, cooling type, and the workloads it suits best.
The platform abstracts bespoke hardware so models run without customers having to learn a new chip toolchain.

Ultra-fast AI inference on the LPU and LPX platform

SpecialistDelivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
SpecialistDelivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
The AI developer cloud for GPU pods, serverless inference and clustering

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Rent cloud GPUs by the second from a global marketplace
Rent cloud GPUs by the second from a global marketplace
Serverless cloud infrastructure for AI and data workloads
Serverless cloud infrastructure for AI and data workloads
An AI-native cloud built from silicon to API for training, tuning, and serving models
An AI-native cloud built from silicon to API for training, tuning, and serving models

Distributed GPU cloud that orchestrates the world's idle consumer GPUs
Distributed GPU cloud that orchestrates the world's idle consumer GPUs

SpecialistThe world's fastest AI inference, powered by the world's biggest chip
SpecialistThe world's fastest AI inference, powered by the world's biggest chip

SpecialistSpecializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals.
The AI cloud built by the creators of PyTorch Lightning

Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.