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Amazon Bedrock vs SambaNova

SambaNova sells fast decode on large open models from its own dataflow chip. Bedrock sells breadth and governance across 100+ models on AWS. Speed tier versus control plane.

By The Subconscious Team · Updated

Amazon Bedrock vs SambaNova: key differences

SambaNova's product is speed on big open models. Its RDU chip maps the model graph on-chip, a three-tier memory design hosts very large models and hot swaps between them in milliseconds, and it claims a SambaRack SN50 runs MiniMax M2.7 near 820 tokens per second. SambaCloud serves models like MiniMax M2.7, DeepSeek, Gemma 4 31B and GPT-OSS 120B. Bedrock's product is coverage and control: closed and open models under AWS security, with fine-tuning and a managed agent platform. One sells the fast lane; the other sells the whole highway system.

SambaNova fits interactive coding agents and copilots on large open models where decode speed shapes the experience, and neoclouds that want to sell a premium speed tier. Its public catalog is smaller than GPU clouds, and many headline numbers are vendor benchmarks on hardware still ramping. Bedrock fits enterprise agents that need Claude or GPT, governed tools and audit trails. Its drawbacks are markups of 20 to 35% on most models and regional gaps in availability.

What Amazon Bedrock and SambaNova 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, Meta, Mistral, DeepSeek, Amazon's own Nova models, and, since an April 2026 partnership expansion, OpenAI models up to GPT-6 Astra. 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 Opus, GPT-6 Astra

Full Amazon Bedrock profile

SambaNova

SambaNova designs its own inference chip, the Reconfigurable Dataflow Unit, and sells fast tokens on large open models through SambaCloud. The RDU maps the model graph onto the chip to cut trips to off-chip memory. A three-tier memory design of SRAM, HBM and bulk DRAM lets one system host very large models and hot swap between several of them in milliseconds. SambaCloud serves models like MiniMax M2.7, DeepSeek, Gemma 4 31B and GPT-OSS 120B, with speeds reported by Artificial Analysis.

Example models: MiniMax M2.7, GPT-OSS 120B

Full SambaNova profile

Should you choose Amazon Bedrock or SambaNova?

Amazon Bedrock

Choose Amazon Bedrock for

  • Closed frontier models with AWS governance.
  • Managed RAG, Guardrails and AgentCore.
  • Provisioned throughput discounts on commitment.

SambaNova

Choose SambaNova for

  • Fast decode on large open models.
  • Agents that hot swap between models.
  • Neoclouds adding a premium speed tier.

Amazon Bedrock vs SambaNova at a glance

AttributeAmazon BedrockSambaNova
Model accessClosed and open, 100+ modelsOpen weights
Flagship modelsClaude, GPT-6 Astra, Nova, DeepSeekMiniMax M2.7, GPT-OSS 120B, DeepSeek
SpeedLatency-optimized option on some models~820 tok/s on MiniMax M2.7 (SN50)
Price~20–35% above direct; Claude at parity$0.22 in, $0.59 out (GPT-OSS 120B)
CustomizationFine-tuning, Custom Model ImportUnknown
DeploymentManaged on AWS, AgentCoreSambaCloud, racks for neoclouds
Long contextVaries by modelUp to 192K (MiniMax M2.7)

Frequently asked questions

What is the difference between Amazon Bedrock and SambaNova?

SambaNova sells fast decode on large open models from its own dataflow chip. Bedrock sells breadth and governance across 100+ models on AWS. Speed tier versus control plane.

When should I choose Amazon Bedrock over SambaNova?

Closed frontier models with AWS governance; Managed RAG, Guardrails and AgentCore; Provisioned throughput discounts on commitment.

When should I choose SambaNova over Amazon Bedrock?

Fast decode on large open models; Agents that hot swap between models; Neoclouds adding a premium speed tier.

Is Amazon Bedrock or SambaNova cheaper?

Amazon Bedrock: ~20–35% above direct; Claude at parity. SambaNova: $0.22 in, $0.59 out (GPT-OSS 120B). The cheaper choice depends on the model and workload.

Which has more context, Amazon Bedrock or SambaNova?

Amazon Bedrock: Varies by model. SambaNova: Up to 192K (MiniMax M2.7).

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.

Subconscious vs Amazon BedrockSubconscious vs SambaNova