EXO Labs
exolabs.net
Actively hiring
Open Source Projects & Foundations
AI Compute & Inference
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Overview
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Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Hiring now
2
+2 posted in 30 days
Grants
$6.8k
1 grant · CORDIS
Backers
1
Bodhi Ventures 2026 Webflow
Momentum
57/100
hiring for its size, in the news, rising traction
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
May 1, 2019
Won a grant $6.8k · CORDIS
Tractionpublic signals, read monthly
Hacker News stories
10
best: 61 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Grant | May 2019 | $6.8k | — | CORDIS |
Backed byfrom the funds' portfolios and accelerator catalogs
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Overview
EXO Labs is an AI infrastructure start-up whose open-source software connects everyday devices into a cluster to run frontier AI models on hardware users own. Its open-source repository has more than 30,000 GitHub stars and over a million downloads, and the in-person team is hiring founding engineers and researchers. The company is based in London, United Kingdom.
Connections
List
Graph
Found in company registers, site code, DNS and hiring. Each connection shows how sure we are and the evidence, with its source and date.
Shared investors
Bodhi Ventures 2026 WebflowVia a fund
Click a company to open it. Dashed lines are likely connections. The second step of the network is part of the Pro plan.
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News
Report
EXO Labs (@exolabs) on X
M3 Ultra Mac Studio Al ClusterUses EXO 1.0 with RDMA over Thunderbolt 5 (80Gbps) for 2TB unified memory @ 3.2TB/s.Runs Kimi K2 Thinking (1T parameters) at 28 tok/sec with MLX tensor parallel. Up to 1.8x TPS w/ 2 Macs, 3.2x w/ 4 Macs.EXO 1.0 is now open-so
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Combining NVIDIA DGX Spark + Apple Mac Studio for 4x Faster LLM Inference with EXO 1.0
How to optimize both TTFT and TPS by splitting prefill and decode across different hardware
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EXO Labs (@exolabs) on X
Clustering NVIDIA DGX Spark + M3 Ultra Mac Studio for 4x faster LLM inference.DGX Spark: 128GB @ 273GB/s, 100 TFLOPS (fp16), $3,999M3 Ultra: 256GB @ 819GB/s, 26 TFLOPS (fp16), $5,599The DGX Spark has 3x less memory bandwidth than the M3 Ultra but 4x more
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EXO Labs (@exolabs) on X
LLM running on Windows 98 PC26 year old hardware with Intel Pentium II CPU and 128MB RAM.Uses llama98.c, our custom pure C inference engine based on @karpathy llama2.cCode and DIY guide
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Alex Cheema (@alexocheema) on X
Backdoor attempt on @exolabs through an innocent looking PR.Read every line of code. Stay safu.
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Tech stack
Technologies named in job postings at EXO Labs over the last 12 months, by layer, with the share of postings for each.
Technologies in use
6
Postings analysed
2
Stack modernity
67/100
Languages
C++
Python
Rust
Frameworks & libraries
MLX ML
Practices & domains
Mixture of Experts
Quantization
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Growth
Hiring Momentum
53/100
Stable
Open positions
2
2 opened / 0 closed in 30 days
ATS activity
Every ~5 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
50% ▲
Backend
50% ▲
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
London
London
United Kingdom
HQ
2 open roles 2 posted in 90 days 100% engineering $361k Avg Salary
hires for AI/ML, Backend
Jobs
Apply
≈ $78k – $209k per year (Estimated) · In office · London
Python
Rust
C++
Quantization
MLX ML
Mixture of Experts
Apply
Financials
Total raised
$6.8k
Latest round
Grant
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Grant | 2019 | $6.8k | Details |