
Ultra-fast AI inference on the LPU and LPX platform
General Compute records 13,828 monthly visits with +7.2% month-over-month growth and Free Trial, Contact for Pricing pricing. Salad records 713,519 monthly visits with +10.4% growth and Free Trial, Paid, Contact for Pricing pricing.
An inference cloud built on alternative chips, delivering ultra-fast tokens through disaggregated prefill and decode.
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | generalcompute.com | salad.com |
| Pricing Model | Free Trial, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 13.83K (13,828) | 713.52K (713,519) |
| MoM Traffic Delta | +924 (+7.2%) | +67.49K (+10.4%) |
| Primary Market & Share | 🇺🇸 United States (55.3%) | 🇺🇸 United States (40.9%) |
| Direct Visits / mo | 6.73K | 440.92K |
| User Rating | 4.2 | 4.3 |
| Supported Platforms | Website | Website |
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.

Distributed GPU cloud that orchestrates the world's idle consumer GPUs
Schedules, monitors and reallocates Docker/OCI workloads across thousands of distributed GPU nodes, with failover when nodes disappear.
On-demand access to a distributed pool of idle consumer GPUs across 190+ countries with priority pricing from about $0.015 per GPU-hour.
A managed token endpoint for open-weight models priced per token, with your data never used for training.
Run the same orchestration stack inside your organisation, pooling idle workstation GPUs into an internal OpenAI-compatible service.

Ultra-fast AI inference on the LPU and LPX platform
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.
Offers reliable dedicated and serverless GPU rentals, but lacks Salad's ultra-low-cost peer-to-peer consumer hardware pool.

SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
SpecialistSpecializes in managed serverless inference APIs for open-source models, rather than raw GPU infrastructure rentals.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
Provides an extensive peer-to-peer GPU marketplace with lower prices, but requires more manual configuration.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
SpecialistDelivers effortless Python serverless execution for AI pipelines, but focuses on function-as-a-service rather than raw VMs.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.
Supplies enterprise-grade NVIDIA GPU clusters and managed ML tooling, but at a higher professional price point.

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

SpecialistOffers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
The AI cloud built by the creators of PyTorch Lightning

Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.
Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads.

Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.

SpecialistScales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
SpecialistScales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.