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Amazon Bedrock vs Wafer
Wafer sells agent-tuned inference that it says runs open models 2x to 2.8x faster than stock stacks. Bedrock sells governed access to 100+ models. Speed on a few models versus broad enterprise coverage.
By The Subconscious Team · Updated
Amazon Bedrock vs Wafer: key differences
Wafer is a very young company that sells inference on stacks its own agents tune. Those agents test configs across batching, decoding, quantization, engines, kernels and hardware, deploy the winner and keep re-tuning on NVIDIA or AMD. Wafer reports Qwen 3.5 397B at 2.8x stock SGLang and GLM 5.1 and DeepSeek V4 Pro at 2x a vLLM baseline. Its serverless API bills per token and works in coding harnesses. Bedrock serves 100+ closed and open models under AWS security, billed per token or through provisioned throughput.
Wafer fits developers who want large open models at interactive speed in Claude Code or Cline, and teams with a strict latency SLO but no kernel engineers. Its catalog is small, and its speedups are measured against stock baselines, not tuned hosts. Bedrock fits enterprises that need frontier closed models, governance, Guardrails and a managed agent runtime, and it has the track record Wafer lacks. The price of that is markups of 20 to 35% on most models.
What Amazon Bedrock and Wafer do
Amazon Bedrock
Amazon Bedrock is AWS's managed model service and has become the default AI control plane for many enterprises. One API reaches 100+ models from 18+ providers, including Anthropic's Claude family up to Fable 5.1, Meta, Mistral, DeepSeek, Amazon's own Nova models, and, since a June 2026 launch under an expanded partnership, OpenAI models including the full GPT-6 family from Astra to Luna. Switching models is usually just a new model ID. Every call inherits IAM, PrivateLink, KMS encryption and CloudTrail logging, and provider models never train on customer data.
Example models: Claude Fable 5.1, GPT-6 Astra
Full Amazon Bedrock profileWafer
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. Wafer raised a $4M seed led by Fifty Years in April 2026 and a $40M Series A co-led by Marathon and Chemistry in September 2026 at a $220M post-money valuation, with AMD Ventures and Wing joining. Its agents profile a workload, generate candidate configs across batching, decoding, quantization, engines, kernels and hardware, measure each one and deploy the winner.
Example models: GLM-5.3, DeepSeek V4.1 Flash
Full Wafer profileShould you choose Amazon Bedrock or Wafer?
Amazon Bedrock
Choose Amazon Bedrock for
- Enterprise agents on closed and open models.
- AWS compliance and audit trails.
- Fine-tuning and custom model import.
Wafer
Choose Wafer for
- Big open models at interactive speed for coding.
- Per-token APIs that drop into coding harnesses.
- Dedicated endpoints re-tuned to a latency SLO.
Amazon Bedrock vs Wafer at a glance
| Attribute | Amazon Bedrock | Wafer |
|---|---|---|
| Model access | Closed and open, 100+ models | Open weights |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | GLM-5.3, DeepSeek V4.1 Flash |
| Speed | Latency-optimized option on some models | ~176 tok/s on GLM-5.3; 2–2.8x vs stock vLLM or SGLang (vendor) |
| Price | ~20–35% above direct; Claude and GPT at parity | Per token, prepaid credits |
| Customization | Fine-tuning, Custom Model Import | Agent-tuned dedicated deployments |
| Deployment | Managed on AWS, AgentCore | Serverless, dedicated |
| Long context | Varies by model | Up to 1M (GLM-5.3, DeepSeek V4.1 Flash) |
Frequently asked questions
What is the difference between Amazon Bedrock and Wafer?
Wafer sells agent-tuned inference that it says runs open models 2x to 2.8x faster than stock stacks. Bedrock sells governed access to 100+ models. Speed on a few models versus broad enterprise coverage.
When should I choose Amazon Bedrock over Wafer?
Enterprise agents on closed and open models; AWS compliance and audit trails; Fine-tuning and custom model import.
When should I choose Wafer over Amazon Bedrock?
Big open models at interactive speed for coding; Per-token APIs that drop into coding harnesses; Dedicated endpoints re-tuned to a latency SLO.
Is Amazon Bedrock or Wafer cheaper?
Amazon Bedrock: ~20–35% above direct; Claude and GPT at parity. Wafer: Per token, prepaid credits. The cheaper choice depends on the model and workload.
Which has more context, Amazon Bedrock or Wafer?
Amazon Bedrock: Varies by model. Wafer: Up to 1M (GLM-5.3, DeepSeek V4.1 Flash).
Related comparisons
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.