ACE — Scale AI Revenue. Slash Cloud & GPU Costs 30–80%.launch weekPro / Team is $0 / month $49 — full engine, no card charged.8 days left · ends Aug 20claim launch offer →
[ACE_FLEET // AI_COMPUTE_EFFICIENCY_ENGINE]<br>Scale Your AI Revenue—<br>Not Your Cloud Bill.<br>The Operating System for AI Compute Efficiency.<br>ACE Fleet is the full-stack compute optimization engine that slashes API and GPU costs by 30% to 80%—without sacrificing model accuracy or speed.
select_your_stack →<br>stackManaged APIs<br>API & Agentic Apps<br>Token & App Optimization<br>50–70%outcome<br>stackCustom OSS / Hybrid<br>Custom OSS & Hybrid<br>Model & Engine Optimization<br>3× throughput / $outcome<br>stackBare-Metal GPU<br>Dedicated GPU Fleets<br>Hardware & Kernel Optimization<br>90%+ utiloutcome
ace_efficiency_engine · projectedlive<br>→ Every prompt cached, routed, and pruned before it burns a token.<br>prompt_tokens<br>−58%
cache_hit_ratio<br>0.71
avg_latency<br>18ms
cost_per_1k_calls<br>$0.34
Generate Developer Key →Read the Docs<br>Free forever for developers · generate keys on demand · calculate your savings<br>SOC2 Type IIZero Data RetentionLocal ONNX EmbeddingsSelf-Hosted VPCK8s Operator Native
§ 02 / ecosystem coverage<br>Plugs into your existing tech stack in under 15 minutes.<br>No infrastructure rebuilds required. ACE operates across every layer — from Groq and CoreWeave silicon up to Bedrock, vLLM, and CrewAI agents.
HWHardware & Accelerators·NVIDIA H100/H200 · Groq LPU · Cerebras WSE-3 · AMD Instinct<br>ENGInference Engines & Serving·vLLM · SGLang · TensorRT-LLM · TGI<br>CLDClouds & Orchestration·AWS Bedrock · Azure · GCP · CoreWeave · Kubernetes · Ray<br>AGTAgent Frameworks·CrewAI · LangChain · LlamaIndex · DSPy<br>HWSilicon & Accelerators·NVIDIA H100/H200 · Groq LPU · Cerebras WSE-3 · AMD Instinct<br>NETInterconnect·NVLink · InfiniBand · RoCEv2<br>CLDNeoclouds & Hyperscalers·CoreWeave · Nebius · Lambda · AWS · GCP · Azure<br>ORCOrchestration·Kubernetes · Ray · Karpenter<br>SRVInference Engines·vLLM · SGLang · TensorRT-LLM · TGI<br>OSSCustom Open-Source Models·Llama · Qwen · DeepSeek · Mistral<br>ENTEnterprise Platforms·Databricks · Snowflake · Vertex · Bedrock<br>AGTFrontier APIs & Agents·OpenAI · Anthropic · CrewAI · LangGraph · LlamaIndex · DSPy<br>HWHardware & Accelerators·NVIDIA H100/H200 · Groq LPU · Cerebras WSE-3 · AMD Instinct<br>ENGInference Engines & Serving·vLLM · SGLang · TensorRT-LLM · TGI<br>CLDClouds & Orchestration·AWS Bedrock · Azure · GCP · CoreWeave · Kubernetes · Ray<br>AGTAgent Frameworks·CrewAI · LangChain · LlamaIndex · DSPy<br>HWSilicon & Accelerators·NVIDIA H100/H200 · Groq LPU · Cerebras WSE-3 · AMD Instinct<br>NETInterconnect·NVLink · InfiniBand · RoCEv2<br>CLDNeoclouds & Hyperscalers·CoreWeave · Nebius · Lambda · AWS · GCP · Azure<br>ORCOrchestration·Kubernetes · Ray · Karpenter<br>SRVInference Engines·vLLM · SGLang · TensorRT-LLM · TGI<br>OSSCustom Open-Source Models·Llama · Qwen · DeepSeek · Mistral<br>ENTEnterprise Platforms·Databricks · Snowflake · Vertex · Bedrock<br>AGTFrontier APIs & Agents·OpenAI · Anthropic · CrewAI · LangGraph · LlamaIndex · DSPy
§ 03 / at a glance<br>One engine. Three deployment surfaces.<br>Business outcome on the left. Technical mechanics on the right. Same control plane underneath.
~/ace/deployment_matrix.tsv● reference<br>deployment_setup<br>business_outcome · leadership<br>technical_mechanics · CTO/ML
API & Agentic Apps<br>50%–70% lower API bills; protects SaaS gross margins.<br>Semantic caching · intent routing · entropy pruning (LLMLingua) · agent state summarization.
Custom Open-Source<br>3× token throughput per dollar on self-hosted models.<br>RadixAttention shared KV caching · Multi-LoRA S-LoRA · speculative decoding · model distillation.
Dedicated GPU Fleets<br>90%+ GPU VRAM utilization; prevents premature hardware purchases.<br>Prefill–Decode disaggregation · FP8/FP4 quantization · K8s MPS bin-packing · ASIC kernel offload.
3 rows · 0.02sexpand each deployment ↓
§ 06 / integration<br>Enterprise-grade. Developer-fast.
see full onboarding doc →<br>[●] active<br>Developer · 15-Min Drop-In Proxy<br>[ ] tab<br>Enterprise · Security & Sovereign Infra
15-Minute Setup. Zero Refactor.<br>Point your existing OpenAI or Anthropic client at the ACE proxy URL. Semantic caching, intent routing, context pruning, and agent guardrails activate automatically — your SDK calls, streaming, and tool-use stay identical.<br>· OpenAI · Anthropic · Azure OpenAI SDKs supported<br>· Streaming, tool-calling, and vision preserved<br>· Zero-config semantic caching via Redis / Qdrant<br>· Prometheus + OTLP telemetry out of the box
OpenAIAnthropicPythonTypeScriptcURL<br>● app.py<br># OpenAI Python SDK — swap base_url, and use your ACE key<br>from openai import OpenAI
client = OpenAI(<br>api_key="ace_dev_...", # not your OpenAI key<br>base_url="https://engine.acefleet.dev/v1", # 👈 ACE intercepts
resp = client.chat.completions.create(<br>model="gpt-5",<br>messages=[{"role": "user", "content": heavy_prompt}],
§ 04 / core showcaseAI Scale Without the Compute Inflation.<br>Optimization matched to your architecture.<br>Three deployment surfaces, one control plane. Pick your architecture — ACE...