Deep Dive Into Hyperbolic’s Serverless Inference Service

As the AI infrastructure market races toward a projected $100 billion valuation in the next five years, one thing is clear: inference is the next battleground. Developers are building applications on top of increasingly powerful open-source models—but the cost, complexity, and performance limitations of serving those models remain unsolved for most teams.

Platforms like Together AI, Anyscale, Fireworks AI, and OpenRouter have made progress by offering serverless inference. But issues like unpredictable billing, latency, vendor lock-in, and limited model support still block many production deployments. Developers want more control, broader compatibility, and lower costs—without sacrificing performance or privacy.

Hyperbolic’s Inference Service is built for exactly that.

What is Hyperbolic’s Inference Service?

Hyperbolic provides a fully managed, serverless AI inference platform that gives developers instant access to open-source models through simple APIs—no GPU management, no setup overhead, no data retention.

It supports 25+ models across text, image, vision-language, and audio domains. Developers can deploy these models instantly via REST, Python, TypeScript, and Gradio interfaces—with pay-as-you-go pricing that’s consistently 3x–5x cheaper than alternatives.

Hyperbolic is API-compatible with OpenAI and other popular ecosystems, making migration trivial. It’s optimized for performance, priced for scale, and designed for complete data control.

Key Benefits

• Instant API Access
  Deploy open models with no infra setup. Access via REST, Python, TypeScript, or Gradio.

• Scalable Inference Capacity
  Elastic GPU backend that scales with your application.

• Affordable Pricing
  Pay-as-you-go, no hidden fees, no long-term lock-in.

• Custom Model Hosting
  Run your own models directly on Hyperbolic infrastructure.

• Low-Latency Global Infrastructure
  Fast response times across geographies.

• Privacy-First by Design
  Zero data retention. No logging. No tracking. No data sharing.

Technical Capabilities

Developer Tools

• Multi-language API Support
  Generate requests via Python, TypeScript, or cURL.

• REST API
  Chat Completion-compatible endpoints with streaming support.

• Python SDK
  Fully OpenAI-compatible—just update api_key and base_url.

• TypeScript SDK
  Works out-of-the-box with OpenAI’s TypeScript tools.

• Gradio + Hugging Face Spaces
  One-click deploys for prototyping, demos, or shareable interfaces.

• API Playground
  Test and tune models before paying—adjust temperature, max_tokens, and top_p.

Model Support

Hyperbolic hosts a wide range of high-performance, open-source models—optimized for inference using FP8 and BF16 precision.

Text Models (LLMs)

• Llama-3.1-405B (BF16) – Meta’s flagship model. Top-tier performance, beats GPT-4o across benchmarks.

• Llama-3.1-70B / 8B (FP8) – Instruction-tuned and optimized for speed.

• Llama-3.2-3B (FP8) – Latest from Meta’s 3.2 instruction-tuned series.

• Qwen2.5-72B (BF16) – Coding + math powerhouse.

• QwQ-32B (BF16) / QwQ-32B-Preview (FP8) – Strong reasoning capabilities.

• Qwen2.5-Coder-32B (FP8) – Optimized for code generation.

• DeepSeek-R1 / V3 (FP8) – Best-in-class open-source reasoning models.

• Hermes-3-70B (FP8) – Full-parameter fine-tune, strong instruction-following.

Base Completion Models

• Llama-3.1-405B-BASE (FP8 / BF16) – State-of-the-art base model for open-ended tasks.

Use instruct models for precision; base models for flexibility.

Image Models

• Flux.1 [dev] – Leading image generation for prompt-following and visual quality.

• SDXL-1.0 / SDXL-Turbo – High-res, fast-processing image generation.

• Stable Diffusion 1.5 / 2.0 – Versatile, reliable generation.

• Segmind SD-1B – Domain-specific model for scientific and medical imaging.

ControlNet Support

• SDXL + SD1.5 models with canny, depth, openpose, and softedge filters.

• Use pose, edge, and depth for image-to-image customization.

LoRA Fine-Tuning

• Apply LoRA styles (Pixel Art, Sci-Fi, Logo, Crayon, Paint Splash).

• Fine-tune or mix LoRAs for artistic control.

Vision-Language Models (VLMs)

• Qwen2.5-VL-72B / 7B (BF16) – Instruction-tuned VLMs from Qwen team.

• Pixtral-12B (BF16) – MistralAI’s vision-language reasoning model.

Audio

• Melo TTS – Natural, high-quality speech generation with smooth prosody.

Tiered Access & Rate Limits

Note: Each IP address is capped at 600 RPM to prevent abuse. For increased throughput, contact [email protected]. Check latest pricing at: hyperbolic.xyz/pricing

Pricing vs. Competition

Hyperbolic delivers the same or better model access at a fraction of the cost.

Where Inference Happens

Hyperbolic’s Inference Service isn’t just another OpenAI-compatible API. It’s a full-stack, performance-optimized platform for developers who want speed, cost-efficiency, and privacy—without managing their own GPU infra.

You get access to the best open models across modalities. You keep control over your data. You don’t overpay. And you don’t get locked in.

Whether you’re prototyping agents, deploying vision or image generation, or serving custom fine-tuned models—Hyperbolic gives you a better inference stack, out of the box.

Start building at app.hyperbolic.xyz/models.