Built for fast AI at lower cost

Fast, cost-effective inference for open-source AI.

Karya optimizes open-source AI models for Indian GPU infrastructure, delivering 2-3x faster inference at 10-20x lower cost while keeping enterprise data in India.

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2-3xfaster inference
10-20xlower cost
Indiadata residency
AIcoding & agents
Optimized for India's GPU infrastructure
Why Karya

India needs its own inference layer.

Indian companies should be able to build serious AI products without sending every prompt abroad or paying frontier-model prices for routine work. Karya is built for that reality.

Open-source quality, familiar reference points.

Karya routeQwen 3.6 35B
~
Quality reference Sonnet 4.5
Karya routeGLM 5.1
~
Quality reference Opus 4.6
Expertise

We optimize the software that runs on your GPUs.

Karya tunes the inference stack around your specific AI model, hardware, and traffic pattern so GPU capacity turns into fast, scalable, cost-efficient serving.

GPU runtime Model-specific kernels, batching, and memory use
Serving stack Low-latency inference built for steady scale
Cost control More useful tokens from the same GPU spend
Models

Open-source models are now strong enough for serious AI work.

Most teams should start with Qwen for everyday AI, then use Kimi or GLM when the task needs more coding or reasoning depth.

Q
Available

Qwen 3.6 35B

Default pick for Indian companies: strong quality, fast serving, and the best cost profile.

₹5 / M tokens
K
Available

Kimi 2.6

Best fit when coding agents, longer tasks, and harder workflows need extra quality.

₹8 / M tokens
G
Available

GLM-5.1

Higher-reasoning route for complex business AI when the extra quality is worth 2x Qwen.

₹10 / M tokens
Use cases

Use premium models only where they are truly needed.

Karya makes strong open-source models fast and cheap enough for the bulk of your AI traffic.

01
Coding and agent workflows.

Run frequent tool calls, code help, task automation, and internal assistants without premium-token burn.

02
Everyday business AI.

Use open-source models for summaries, extraction, support, reports, and operations work.

03
Premium models as escalation.

Send only the hardest, highest-value requests to Claude/OpenAI-class frontier models.

Build AI products that are fast enough and cheap enough to scale.

Use strong open-source models for most requests, and reserve premium frontier APIs for the rare cases that need them.

krishan@karyainfer.com