The High-Throughput
Inference Cloud for Production AI
Infergator AI powers mission-critical applications with high-throughput, low-latency API access to 25+ open frontier models. Sub-50ms first-token latency, multi-region elastic scaling, and strictly enforced in-memory Zero Data Retention.
DeepSeek, Llama, Qwen, Mistral
Accelerated first-token latency
PagedAttention batch queue
US-East, US-West, EU, Asia
RAM-only, zero disk writes
High availability & redundancy
Time to First Token (TTFT) Comparison
Measured on 2k prompt tokens under sustained production load.
Enterprise Model Catalog (25+ Models)
Explore our production weights across Reasoning, Code, Multimodal, and Frontier LLMs. Compatible with OpenAI SDKs and OpenRouter routing.
| Model ID & Family | Context | Input / 1M | Output / 1M | Output Speed | Status |
|---|---|---|---|---|---|
|
deepseek-v4.1-flash-xolotl
FLAGSHIP ANCHOR
Proprietary low-latency kernel engine · 46ms TTFT · Streaming reasoning
|
262,144 | $0.10 | $0.72 | 18–25 tps | 🟢 Active Online |
|
deepseek/deepseek-r1
671B MoE Frontier Reasoning · Advanced CoT math & theorem proving
|
128,000 | $0.55 | $2.19 | 52 tps | 🟢 Operational |
|
deepseek/deepseek-v3
671B Multi-Head Latent Attention general foundation intelligence
|
128,000 | $0.27 | $1.10 | 68 tps | 🟢 Operational |
|
qwen/qwen-2.5-coder-32b-instruct
Premier open code specialist · 5.5T code tokens · AST refactoring
|
131,072 | $0.18 | $0.54 | 88 tps | 🟢 Operational |
|
qwen/qwen3-coder-next
HIGH DEMAND
Autonomous coding specialist · Tool execution · Repository orchestration
|
131,072 | $0.18 | $0.78 | 94 tps | 🟢 Scaling Route |
|
meta-llama/llama-3.3-70b-instruct
Meta enterprise standard · 405B-class quality at 70B throughput
|
128,000 | $0.30 | $0.75 | 58 tps | 🟢 Operational |
|
meta-llama/llama-3.1-405b-instruct
World's premier open frontier model · Massive multi-GPU tensor cluster
|
128,000 | $1.80 | $3.50 | 32 tps | 🟢 Operational |
|
qwen/qwen-2.5-72b-instruct
Multilingual general intelligence flagship · High reasoning density
|
131,072 | $0.35 | $0.90 | 56 tps | 🟢 Operational |
|
qwen/qwen-2.5-vl-72b-instruct
Frontier vision-language model · High-res document OCR & video reasoning
|
131,072 | $0.40 | $1.20 | 52 tps | 🟢 Operational |
|
deepseek-r1-distill-qwen-32b
R1 reasoning distilled into 32B dense architecture · Ultra-high speed
|
131,072 | $0.18 | $0.58 | 85 tps | 🟢 Operational |
|
mistralai/codestral-2501
256k context code specialist · Fill-in-the-middle for IDE autocompletion
|
256,000 | $0.20 | $0.60 | 110 tps | 🟢 Operational |
|
meta-llama/llama-3.1-8b-instruct
Lightweight instruction model · High-concurrency classification & tagging
|
128,000 | $0.05 | $0.08 | 165 tps | 🟢 Operational |
|
mistralai/mistral-large-2407
123B flagship multilingual reasoning, coding, and mathematical engine
|
128,000 | $1.20 | $2.40 | 42 tps | 🟢 Operational |
|
meta-llama/llama-3.2-11b-vision-instruct
Fast visual reasoning, diagram parsing, and image question answering
|
128,000 | $0.12 | $0.20 | 125 tps | 🟢 Operational |
Multi-Region Distributed GPU Mesh
Infergator AI orchestrates bare-metal anchor compute clusters with dynamic overflow across tier-1 cloud GPU infrastructure (H100, H200, B200, L40S). When marketplace volume surges, requests are load-balanced instantaneously with zero queue stalling.
Continuous Batching & Speculative Decoding
PagedAttention v3 and custom FP8 tensor kernels minimize latency overhead under multi-thousand concurrency bursts.
Anycast Global Edge Termination
14 worldwide points of presence terminate SSL/TLS within 10ms of user origin, reducing round-trip time across global traffic.
Dedicated Private Endpoints & Custom Model Hosting
Enterprise clients can provision private isolated clusters with customized LoRA adapters and guaranteed throughput SLAs.
Zero Data Retention (ZDR)
Enterprise confidentiality without compromise. Prompts and completions exist strictly in volatile GPU accelerator RAM for forward-pass execution and are discarded immediately upon stream completion. Zero disk writes, zero prompt caching, zero training.
Read Verified Privacy Policy →Custom Kernel Scheduling
Engineered with Xolotl/Strata kernel schedulers, custom FP8 quantization, and continuous batching algorithms to deliver deterministic sub-50ms first-token times and eliminate head-of-line blocking under load.
Enterprise Production SLA
Production agreements backed by 99.99% availability guarantees, strict token accounting verified via SSE stream payloads, automated failover routing, and dedicated Slack Connect engineering support.
Review Terms & SLA →Drop-In OpenAI Compatibility
Route via OpenRouter or connect directly to our inference endpoints with any standard SDK.
from openai import OpenAI # Direct Infergator endpoint or route via OpenRouter ("infergator/...") client = OpenAI( base_url="https://api.infergator.com/v1", api_key="YOUR_INFERGATOR_OR_OPENROUTER_KEY" ) stream = client.chat.completions.create( model="deepseek-v4.1-flash-xolotl", # or any active model in catalog messages=[{"role": "user", "content": "Synthesize high-speed parser in Rust."}], stream=True ) for chunk in stream: if chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True)