Built for speed, designed for scale

Our infrastructure is purpose-built for AI inference, delivering unmatched performance at every scale.

Serverless Inference

Run any model via API with zero infrastructure management. Auto-scales from zero to thousands of GPUs in seconds.

🖥️

Dedicated Clusters

Private GPU clusters with guaranteed capacity. H100 and H200 GPUs with custom configurations and enterprise SLAs.

🎯

Fine-tuning

Customize any model on your data. LoRA, QLoRA, and full fine-tuning with automatic evaluation and one-click deployment.

📦

Batch Processing

Process millions of requests asynchronously at 50% lower cost. Perfect for data labeling and offline evaluation.

🤖

AI Agents

Build autonomous agents with tool calling, memory, and multi-agent orchestration on our optimized inference stack.

🔗

Function Calling

Native function calling support across all models. Define tools with JSON schemas and let models decide when to use them.

📊

Structured Output

Guaranteed JSON output matching your schema. No more parsing errors or retry loops — get valid structured data every time.

🔍

Embeddings

Generate embeddings at scale with state-of-the-art models. BGE-M3, E5-Mistral, and custom embedding models supported.

🎨

Image Generation

Generate images with Stable Diffusion 4, FLUX.2, and more. Sub-second generation with custom LoRA support.

Purpose-built for AI workloads

Our custom infrastructure stack is optimized at every layer for maximum inference throughput.

Custom CUDA Kernels

Hand-optimized CUDA kernels for attention, MLP, and normalization layers. 3-5x faster than standard implementations for transformer architectures.

  • FlashAttention-3 with custom memory management
  • Fused MLP kernels with activation checkpointing
  • Optimized KV-cache with paged attention
  • Custom GEMM kernels for mixed-precision

Speculative Decoding

Our SpecServe system dynamically selects draft models based on prompt characteristics, achieving 2-3x speedup without quality loss.

  • Dynamic draft model selection per-request
  • Adaptive speculation depth based on acceptance rate
  • Zero overhead when speculation fails
  • Compatible with all decoder-only models

Continuous Batching

Our serving engine uses iteration-level scheduling to maximize GPU utilization. New requests join running batches without waiting.

  • Iteration-level scheduling for minimal queuing
  • Dynamic batch sizes based on sequence lengths
  • Priority queuing for latency-sensitive requests
  • Preemption support for SLA guarantees

Global Edge Network

Models deployed across 12 regions worldwide with intelligent routing. Requests are served from the nearest available cluster.

  • 12 regions: US, EU, APAC, Middle East
  • Intelligent request routing based on latency
  • Automatic failover between regions
  • Edge caching for repeated prompts

APIs developers love

OpenAI-compatible APIs, comprehensive SDKs, and tools that make building with AI a joy.

OpenAI-Compatible API

Drop-in replacement for OpenAI's API. Migrate your existing applications in minutes without changing a single line of business logic.

  • 100% compatible with OpenAI's chat completions API
  • Support for function calling, streaming, and vision
  • Works with LangChain, LlamaIndex, and all major frameworks
  • SDKs for Python, TypeScript, Go, Rust, and Java
curl
curl https://api.infergrove.com/v1/chat/completions \
  -H "Authorization: Bearer ig-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/Llama-4-Scout-109B",
    "messages": [
      {"role": "system", "content": "You are helpful."},
      {"role": "user", "content": "Hello!"}
    ],
    "temperature": 0.7,
    "max_tokens": 256,
    "stream": true
  }'

Observability & Monitoring

Full visibility into your AI workloads with real-time metrics, request tracing, and cost analytics built into the platform.

  • Real-time dashboards with latency, throughput, and error rates
  • Request-level tracing with full prompt/response logging
  • Cost analytics broken down by model, endpoint, and team
  • Alerting via PagerDuty, Slack, and webhooks
  • OpenTelemetry export for custom observability stacks
Metrics Dashboard
Real-time Metrics (last 24h)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Requests      12.4M total  │ 143/s avg
Latency P50   18ms        │ P99: 45ms
Throughput    2.1M tok/s  │ peak: 3.8M
Error Rate    0.002%healthy
Cost Today    $847.23     │ -12% vs avg

Top Models by Usage:
  1. Llama-4-Scout-109B     67% ████████░░
  2. Mixtral-8x22B          18% ██░░░░░░░░
  3. DeepSeek-V3            9%  █░░░░░░░░░
  4. Gemma-3-27B            6%  █░░░░░░░░░

Latest GPU hardware, always available

We operate one of the largest GPU clusters dedicated to inference, with the latest NVIDIA hardware.

NVIDIA H100 80GB

Our workhorse GPU for most inference workloads. 80GB HBM3 memory with 3.35 TB/s bandwidth.

  • 80GB HBM3 memory
  • 3.35 TB/s memory bandwidth
  • NVLink 4.0 interconnect
  • FP8 Tensor Cores

NVIDIA H200 141GB

For large models requiring maximum memory. 141GB HBM3e enables serving 400B+ models efficiently.

  • 141GB HBM3e memory
  • 4.8 TB/s memory bandwidth
  • NVLink 4.0 interconnect
  • Ideal for 400B+ models

NVIDIA B200

Next-generation Blackwell architecture. Coming Q3 2026 for even faster inference on next-gen models.

  • 192GB HBM3e memory
  • 8 TB/s memory bandwidth
  • 5th gen NVLink
  • 2x H200 performance

Works with your existing stack

InferGrove integrates seamlessly with popular frameworks, orchestration tools, and observability platforms.

LangChain

Drop-in provider for LangChain and LangGraph applications.

LlamaIndex

Native integration for RAG pipelines and data connectors.

Vercel AI SDK

Stream AI responses directly to your Next.js frontend.

OpenTelemetry

Export traces and metrics to Datadog, Grafana, or any OTLP backend.

Weights & Biases

Track fine-tuning experiments and model evaluations.

Hugging Face

Deploy any model from the Hugging Face Hub with one click.

CrewAI

Power multi-agent workflows with InferGrove's fast inference.

Terraform

Manage dedicated clusters and configurations as code.

Enterprise-grade security

Built with security-first principles. Your data is encrypted, isolated, and never used for training.

🔒

SOC 2 Type II

Independently audited security controls verified annually.

🏥

HIPAA

BAA available for healthcare workloads on dedicated clusters.

🇪🇺

GDPR

Full GDPR compliance with EU data residency options.

🛡️

Zero Data Retention

Your prompts and responses are never stored or used for training.

Start building with InferGrove

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