AI Infrastructure Platform

Serverless AI APIs Built for Scale

Access state-of-the-art AI models through a simple, fast, and reliable API. Deploy production-ready AI applications in minutes, not months.

COMING SOON

Evaluation Platform
Built for Perfection

Monitor model performance in real time with built-in evaluation pipelines. Catch regressions, benchmark across models, ship with confidence.

COMING SOON

Native Agents Built
for the Real World

Run AI agents at scale without managing servers. We handle everything so your agents stay focused on the task.

Powered by
MiniMax  M2.5
Kimi K2.5
GLM 5
DeepSeek V3.2
gpt-oss-120b
gpt-oss-20b
Qwen3 Instruct
Qwen3 Thinking
Qwen3 Coder
Qwen3.5
Qwen3 VL Instruct
Qwen3 ASR
Qwen-Image
Qwen-Image-Edit
Flux2
Stable Diffusion 3.5
Hunyuan Image
Z-Image
Wan2.2-I2V
Wan2.2-T2V
Hunyuan Image
Z-Image
Features

Everything You Need

One platform to build, evaluate, and ship AI.
Text, image, video, and audio - all running on infrastructure you don’t have to think about.
01

Low Cost

Lower your bills without sacrificing quality. Our vertically integrated stack removes markups and intermediaries, while AMD GPUs deliver state-of-the-art total cost of ownership.

02

Multimodal

Run leading open-source models across every modality from a single API. Conversational, coding, image/video generation and editing, text to speech, speech recognition - all optimized on AMD hardware and ready on day one.

03

Open API

Drop-in compatible with the OpenAI API format, so you can integrate in minutes without rewriting your existing code. Full support for streaming, tool use, structured outputs, async generation and more.

Built on Our
Own Infrastructure.

Your data deserves more than shared servers. That's why we run our own AMD hardware - optimized for AI inference - giving you stronger privacy, lower cost, and more predictable performance.
In partnership with
99.98% Uptime
51.2 Tbps per pod
Liquid cooled
N+1 power redundancy
N+2 cooling redundancy
Trusted by Industry Leaders
"Partnering with Sciforium was the smartest decision our team made this quarter. They’ve managed to make complex collaboration feel effortless (and, dare I say, cool?). It’s rare to find a partner that delivers this much value without the usual corporate bloat. We’re officially Sciforium fans for life."
Alex Ryzen
Head of Product at AMD
Model Library

Supported Models

Access the latest AI models from leading providers through a unified API.

Wan2.2-T2V

Wan2.2-T2V is an open-source video model for text-to-video generation with strong motion, coherence, and high-quality outputs.

Wan2.2-I2V

Wan2.2-I2V is an open-source video model for image-to-video generation with strong motion consistency and high-quality, realistic outputs.

Hunyuan Image

Hunyuan Image 3.0 is a multimodal MoE model (80B) for image generation with strong prompt adherence, world knowledge, and cinematic-quality outputs.

Flux2

FLUX.2 is an image model (9B) with strong prompt understanding, fast inference, and high-quality photorealistic generation.

Qwen-Image-Edit

Qwen-Image-Edit is a diffusion model for image generation and editing, supporting style transfer, object edits, and layout changes with strong prompt control.

Qwen-Image

Qwen-Image is an open-weight diffusion model with strong text rendering, multilingual typography, and image generation and editing.

Qwen3 ASR

Qwen3-ASR is a 1.7B speech model for 52 languages, supporting streaming and offline use with strong noise handling and accurate transcription with timestamps.

Qwen3 VL Instruct

Qwen3 VL Instruct is a vision-language MoE model (30B total, 3B active) for visual understanding, OCR, and multimodal agent tasks with strong spatial reasoning.

Qwen3 Coder

Qwen3 Coder is a MoE model (480B total, 35B active) built for agentic coding, with long context, strong tool use, and reliable multi-step code generation.

Qwen3 Instruct

Qwen3 Instruct is a MoE model (235B total, 22B active) optimized for instruction following, multilingual use, and business apps with strong structured outputs.

Kimi K2.5

Kimi K2.5 is a multimodal MoE model (1T total, 32B active) with strong visual coding, agentic tool use, and multi-agent orchestration.

MiniMax M2.5

MiniMax M2.5 is a MoE model (230B total, 10B active) with strong coding, agentic tool use, and productivity performance, delivering fast, cost-efficient results.

DeepSeek V3.2

DeepSeek V3.2 is a MoE model (671B total, 37B active) with strong reasoning, coding, and tool use.

Qwen3.5

Qwen3.5 is a multimodal MoE model (397B total, 17B active) with a 1M-token context and strong reasoning, coding, and vision-language performance.

gpt-oss-120b

GPT-OSS-120B is an open-weight MoE model (117B total, 5.1B active) optimized for single-GPU use, with strong reasoning, tool use, and structured outputs.

gpt-oss-20b

GPT-OSS-20B is an open-weight MoE model (21B total, 3.6B active) built for low-latency deployment with strong reasoning, tool use, and structured outputs.

Coming soon

Deepseek R1

Strong at multi-step problem solving, math, and structured analysis. Great when you want dependable “think it through” answers at a practical price.

GPT-OSS

Balanced quality across writing, coding, and everyday tasks with a smooth UX feel. Best when you need one model that handles most requests well.

Qwen

Good instruction-following, quick responses, and strong performance in multilingual scenarios. Solid pick for chat experiences and high-throughput workloads.

Deepseek R1

Strong at multi-step problem solving, math, and structured analysis. Great when you want dependable “think it through” answers at a practical price.
Work With Us

Ready to
Get Started?

Start building with Sciforium today.
MiniMax  M2.5
Kimi K2.5
GLM 5
DeepSeek V3.2
gpt-oss-120b
gpt-oss-20b
Qwen3 Instruct
Qwen3 Thinking
Qwen3 Coder
Qwen3.5
Qwen3 VL Instruct
Qwen3 ASR
Qwen-Image
Qwen-Image-Edit
Flux2
Stable Diffusion 3.5
Hunyuan Image
Z-Image
Wan2.2-I2V
Wan2.2-T2V
Hunyuan Image
Z-Image