2× faster
One codebase from GPU kernel to API endpoint, so every layer is tuned for the one below it. Text, image and video pipelines.
We run open-weight models 2× faster and 30% cheaper on US & EU capacity reserved for you.
Trusted by teams at the frontier
A unified inference platform for high-performance, portable compute, enabling full optimizations from GPU kernel to API endpoint.
One codebase from GPU kernel to API endpoint, so every layer is tuned for the one below it. Text, image and video pipelines.
Same model, same codebase, running on NVIDIA, AMD, arm, Intel, TPU and Trainium. Switch hardware without touching your application.


Higher GPU utilization, faster runtime and hardware chosen per workload. Against generic serving on the same models, savings compound with volume.
Most inference is assembled from parts that were never designed to hold an SLA together. Alpha.sh runs every layer, so the contract can cover all of them.
Run leading open models or your own custom models in our managed cloud, in your VPC or fully self-hosted.
High-performance inference on shared pools. No infrastructure to manage, no long-term commitment. Per-token pricing.
Reserved GPUs across vendors, isolated to your organization, with the full SLA. Per-minute pricing.
Bring your own fine-tuned or custom models. Deployed on optimized infrastructure, in our cloud or your VPC.
from openai import OpenAI
client = OpenAI(
# the only change
base_url="https://alpha.sh/v1",
api_key="ALPHA_API_KEY",
)
completion = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V4.1-Flash-1017",
messages=[
{
"role": "user",
"content": "Summarize this."
},
],
)
print(completion.choices[0].message.content)
Fully managed by Alpha.sh. We hold the SLA and the security posture so you don't have to. Best token economics across heterogeneous hardware vendors.
Alpha.sh manages the control plane while inference runs in your VPC. You own the hardware, the data and the cloud credits.
The Alpha.sh serving engine in a container on your own infrastructure. NVIDIA, AMD, arm, Intel, TPU and Trainium: your hardware, your cloud, your rules.
The six questions every security, finance and platform review asks an inference vendor, answered with a document rather than a slide.
Credits computed from our telemetry and applied automatically on the schedule in your agreement. You never file a claim.
SLA & credit schedule · on requestPrompts and completions are not stored. EU or US residency per endpoint, single-tenant pools on request, subprocessor list published.
Security & residency brief · on requestLatency, uptime and SLA outcome per endpoint in the console, exported over OpenTelemetry to your own stack. Breaches are computed from those numbers.
Metrics & export guide · on requestOpenAI-compatible request and response shapes. Keep your router; send us the traffic that cannot fail.
Migration guide · on requestSavings come from deadline scheduling and utilization, not from swapping in a compressed copy. When we quantize, the endpoint says so, next to published evals.
Pricing · on requestCapacity is pre-committed against your contract. No spot, no silent fallback to another provider's build.
Reserve capacity · on requestRead current rates in the console and API model list, with input, output and reported cache hits priced separately.
$0.60 per 1M output tokens
Zero retention, region pinned, 99.9% uptime and p99 latency in the contract.
Send one production workload. In 7 days, see it on Alpha side by side with your stack.
A custom end-to-end deployment built around your models, hardware and performance goals.