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SambaNova vs Runware
SambaNova sells fast LLM decode on custom chips. Runware sells low-cost image, video, audio and 3D generation on its own Sonic hardware. Both build custom infrastructure for different outputs.
By The Subconscious Team · Updated
SambaNova vs Runware: key differences
Both companies built their own infrastructure to win on one metric. SambaNova's RDU chip targets decode speed on large open LLMs, and its SN50 racks are air-cooled at 20 kW so they fit existing data centers. Runware's Sonic Inference Engine targets media cost: pods of about 1 MW per container, a Model Lake that keeps 400K+ models resident, and a rate sheet of 300+ models with images from fractions of a cent and Seedance 2.5 video at about $0.10 a second at 480p.
They are not substitutes. Runware calls LLM hosting a side line, and every model SambaCloud lists is an LLM. A consumer app could use SambaCloud for chat or agent logic and Runware for image and short video generation. Runware's output URLs expire after seven days by default, so the app needs storage. SambaNova's public catalog is small and much of its business runs through hardware sales. Runware's cost claims, like prices around 10x lower, are its own.
What SambaNova and Runware do
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 profileRunware
Runware sells what it calls the lowest-cost API for media generation, and it claims more than 1M developers. One endpoint covers image, video, audio, 3D and text. Every request is a task with the same shape, so switching from a Kling video to a Seedream image mostly means changing the model ID. The published rate sheet lists 300+ priced models, with images from fractions of a cent to a few cents each and video billed per second, like Seedance 2.5 at about $0.10 a second at 480p.
Example models: Seedance 2.5, Qwen-Image-3.0
Full Runware profileShould you choose SambaNova or Runware?
SambaNova
Choose SambaNova for
- Fast text generation on large open LLMs.
- Interactive coding agents.
- Air-cooled racks for a premium speed tier.
Runware
Choose Runware for
- Cheap image and video generation at high volume.
- One request schema across media types.
- Running community or fine-tuned diffusion checkpoints.
SambaNova vs Runware at a glance
| Attribute | SambaNova | Runware |
|---|---|---|
| Model access | Open weights | Hosted media models |
| Flagship models | MiniMax M2.7, GPT-OSS 120B, DeepSeek | Seedance 2.5, Qwen-Image-3.0 |
| Speed | ~820 tok/s on MiniMax M2.7 (SN50) | Unknown |
| Price | $0.22 in, $0.59 out (GPT-OSS 120B) | Images from fractions of a cent |
| Customization | Unknown | Fine-tuned diffusion checkpoints |
| Deployment | SambaCloud, racks for neoclouds | Unified API, raw GPUs |
| Long context | Up to 192K (MiniMax M2.7) | Not applicable |
Frequently asked questions
What is the difference between SambaNova and Runware?
SambaNova sells fast LLM decode on custom chips. Runware sells low-cost image, video, audio and 3D generation on its own Sonic hardware. Both build custom infrastructure for different outputs.
When should I choose SambaNova over Runware?
Fast text generation on large open LLMs; Interactive coding agents; Air-cooled racks for a premium speed tier.
When should I choose Runware over SambaNova?
Cheap image and video generation at high volume; One request schema across media types; Running community or fine-tuned diffusion checkpoints.
Is SambaNova or Runware cheaper?
SambaNova: $0.22 in, $0.59 out (GPT-OSS 120B). Runware: Images from fractions of a cent. The cheaper choice depends on the model and workload.
Which has more context, SambaNova or Runware?
SambaNova: Up to 192K (MiniMax M2.7). Runware: Not applicable.
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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.