# Google Vertex AI vs Wafer

> Google's full AI platform against a young startup whose agents tune open-model serving. Vertex offers breadth and governance; Wafer offers faster open models and flat-rate coding access.

Canonical: https://www.subconscious.dev/compare/google-vertex-vs-wafer · By The Subconscious Team · Updated September 30, 2026

## How they compare

Wafer takes an unusual route to speed. Its AI agents profile a workload, try configurations across batching, decoding, quantization, engines, kernels and hardware, deploy the winner, then keep re-tuning as load or models change, on NVIDIA or AMD. Wafer reports its tuned Qwen 3.5 397B running 2.8x faster than stock SGLang, and GLM 5.1 and DeepSeek V4 Pro each 2x faster than a vLLM baseline. Vertex AI is the established platform: Gemini 3.8, Claude and 200+ models on Google's infrastructure, with MLOps and agent tooling around them.

Scale and track record favor Vertex. Flexibility and price favor Wafer. Wafer is a very young company with a small hosted catalog, and its speedups are self-reported against stock baselines rather than tuned hosts. Its Wafer Pass, from $10 a week, covers every hosted model and drops into Claude Code, Cline and OpenHands, a cheap way for developers to run big open models at interactive speed. Teams with a strict latency target and no kernel engineers can buy a dedicated Wafer deployment. Enterprises that need closed models and governance use Vertex.

## What each one does

### Google Vertex AI

Vertex AI is Google Cloud's enterprise AI platform. At Google Cloud Next on April 22, 2026, Google rebranded it the Gemini Enterprise Agent Platform with an agent-first structure, though the API endpoint and most docs still say Vertex. Model Garden offers 200+ models, including Google's Gemini 3.8 family, Anthropic's Claude models and open models like Gemma, alongside Imagen, Veo and Chirp for media and speech. Google's own TPUs sit underneath much of its first-party serving.

### Wafer

Wafer builds AI agents that act as GPU performance engineers, then sells inference on the stacks those agents tune. The company came out of Y Combinator's Summer 2025 batch as a "Cursor for CUDA" that turned slow PyTorch into custom kernels. Founders Emilio Andere and Steven Arellano are based in San Francisco. Its agents profile a workload, generate candidate configs across batching, decoding, quantization, engines, kernels and hardware, measure each one and deploy the winner.

## Which is best, and when

### Choose Google Vertex AI for

- Closed frontier models under enterprise controls
- A mature platform with training and evaluation
- Multimodal and media workloads

### Choose Wafer for

- Flat-rate open-model access for coding agents
- Dedicated endpoints tuned to a latency SLO
- Hedging GPU supply across NVIDIA and AMD

## At a glance

| Attribute | Google Vertex AI | Wafer |
|---|---|---|
| Model access | Closed and open, 200+ models | Open weights |
| Flagship models | Gemini 3.8 Flash, Claude, Gemma | Qwen 3.5 397B Turbo, GLM 5.1 Turbo |
| Speed | Flash tier built for low latency | 2–2.8x vs stock vLLM or SGLang |
| Price | Gemini 3.8 Flash $0.75 in, $3.75 out | Wafer Pass from $10 a week |
| Customization | Custom training on GPUs or TPUs | Agent-tuned dedicated deployments |
| Deployment | Managed on Google Cloud | Serverless pass, dedicated |
| Long context | 1M on Gemini 3.8 Flash | Varies by model |

## FAQ

### What is the difference between Google Vertex AI and Wafer?

Google's full AI platform against a young startup whose agents tune open-model serving. Vertex offers breadth and governance; Wafer offers faster open models and flat-rate coding access.

### When should I choose Google Vertex AI over Wafer?

Closed frontier models under enterprise controls; A mature platform with training and evaluation; Multimodal and media workloads.

### When should I choose Wafer over Google Vertex AI?

Flat-rate open-model access for coding agents; Dedicated endpoints tuned to a latency SLO; Hedging GPU supply across NVIDIA and AMD.

### Is Google Vertex AI or Wafer cheaper?

Google Vertex AI: Gemini 3.8 Flash $0.75 in, $3.75 out. Wafer: Wafer Pass from $10 a week. The cheaper choice depends on the model and workload.

### Which has more context, Google Vertex AI or Wafer?

Google Vertex AI: 1M on Gemini 3.8 Flash. Wafer: Varies by model.

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs Google Vertex AI](https://www.subconscious.dev/compare/subconscious-vs-google-vertex.md), [Subconscious vs Wafer](https://www.subconscious.dev/compare/subconscious-vs-wafer.md).

Full profiles: [Google Vertex AI](https://www.subconscious.dev/providers/google-vertex.md), [Wafer](https://www.subconscious.dev/providers/wafer.md).