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Overall Winner: Fireworks AI·82/ 100

Fireworks AI vs Lambda Labs

Side-by-side on valuation, funding, investors, founders & more

Comparison updated: April 2026

Neck and neck — Fireworks AI ($4B) and Lambda Labs ($4B) are valued within 20% of each other.

Head-to-Head Verdict

Lambda Labs leads on 3 of 5 metrics

Fireworks AI

0 wins

=Valuation
-Funding
=Awaira Score
-Team Size
-Experience

Lambda Labs

3 wins

=Valuation
+Funding
=Awaira Score
+Team Size
+Experience
Winner
Fireworks AI logo
Fireworks AI

🇺🇸 United States · Lin Qiao

Series CAI InfrastructureEst. 2022

Valuation

$4B

Total Funding

$327M

Awaira Score82/100

150 employees

Full Fireworks AI Profile →
Lambda Labs logo
Lambda Labs

🇺🇸 United States · Stephen Balaban

Series EAI InfrastructureEst. 2012

Valuation

$4B

Total Funding

$2.3B

Awaira Score82/100

300 employees

Full Lambda Labs Profile →
Market Context

This is a head-to-head contest: both operate in AI Infrastructure and share a home market in United States. Different stages (Series C vs Series E) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

In the AI Infrastructure market, Fireworks AI and Lambda Labs represent two distinct approaches. Fireworks AI, founded in 2022, develops infrastructure software for deploying and running large language models (LLMs) in production environments. Lambda Labs is a cloud infrastructure provider specializing in GPU and AI computing resources, founded in 2012 and headquartered in the USA.

The two trade at comparable valuations — Lambda Labs at $4B versus Fireworks AI at $4B. Lambda Labs has amassed $2.3B in total funding, far exceeding Fireworks AI's $327M.

Fireworks AI is the younger company by 10 years, having launched in 2022 compared to Lambda Labs's 2012 founding. Stage-wise, Fireworks AI is classified as Series C and Lambda Labs as Series E, reflecting divergent fundraising histories. Team sizes also differ: Fireworks AI employs 150 people versus Lambda Labs's 300.

Headquartered in 🇺🇸 United States, both Fireworks AI and Lambda Labs draw from the same local ecosystem of talent and capital. Awaira's composite score rates them neck-and-neck: Fireworks AI at 82 and Lambda Labs at 82 out of 100. Under Lin Qiao and Stephen Balaban respectively, both companies continue to chart aggressive growth paths.

Key Numbers

Valuation
$4B
$4B
Total Funding
$327M
$2.3B
Awaira Score
82/100
82/100
Employees
150
300
Founded
2022
2012
Stage
Series C
Series E
Fireworks AILambda Labs

Funding Velocity

Fireworks AI

Total Rounds2
Avg. Round Size$38.5M
Funding Span0.3 yrs

Lambda Labs

Total Rounds3
Avg. Round Size$388M
Funding Span2.4 yrs

Funding History

Fireworks AI has completed 2 funding rounds, while Lambda Labs has gone through 3. Fireworks AI's most recent round was a Series B of $52M, compared to Lambda Labs's Series C ($800M). Fireworks AI is at Series C while Lambda Labs is at Series E — different points in their growth trajectory.

Team & Scale

Team sizes are in the same ballpark: Fireworks AI has about 150 people and Lambda Labs has around 300. Lambda Labs has a 10-year head start, founded in 2012 vs Fireworks AI's 2022. Both are based in United States.

Metrics Comparison

MetricFireworks AILambda Labs
💰Valuation
$4B
$4B
📈Total Funding
$327M
$2.3BWINS
📅Founded
2022WINS
2012
🚀Stage
Series C
Series E
👥Employees
150
300
🌍Country
United States
United States
🏷️Category
AI Infrastructure
AI Infrastructure
Awaira Score
82
82

Key Differences

📈

Funding gap: Lambda Labs has raised $2B more ($2.3B vs $327M)

📅

Market experience: Lambda Labs has 10 years more (founded 2012 vs 2022)

🚀

Growth stage: Fireworks AI is at Series C vs Lambda Labs at Series E

👥

Team size: Fireworks AI has 150 employees vs Lambda Labs's 300

⚔️

Direct competitors: Both operate in the AI Infrastructure market segment

Which Should You Choose?

Use these signals to make the right call

Fireworks AI logo

Choose Fireworks AI if…

Top Pick
  • Fireworks AI, founded in 2022, develops infrastructure software for deploying and running large language models (LLMs) in production environments
Lambda Labs logo

Choose Lambda Labs if…

  • Stronger investor backing — raised $2.3B
  • More market experience — founded in 2012
  • Lambda Labs is a cloud infrastructure provider specializing in GPU and AI computing resources, founded in 2012 and headquartered in the USA

Funding History

Fireworks AI raised $327M across 2 rounds. Lambda Labs raised $2.3B across 3 rounds.

Fireworks AI

Series B

Jul 2024

Lead: Sequoia Capital

$52M

Series A

Mar 2024

Lead: Sequoia Capital

$25M

Lambda Labs

Series C

Aug 2024

Lead: Blackstone

$800M

Series B

Feb 2024

Lead: Thomas Tull

$320M

Series A

Apr 2022

Lead: Gradient Ventures

$44M

Investor Comparison

Shared Investors1
Gradient Ventures

Unique to Fireworks AI

Sequoia CapitalSoftBank Vision Fund

Unique to Lambda Labs

BlackstoneThomas TullUSITBloomberg Beta

Users Also Compare

FAQ — Fireworks AI vs Lambda Labs

Is Fireworks AI bigger than Lambda Labs?
By valuation, Lambda Labs is the larger company at $4B versus $4B — a 1x difference. Size can also be measured by team: Fireworks AI employs 150 people while Lambda Labs has 300 employees.
Which company raised more funding — Fireworks AI or Lambda Labs?
Lambda Labs has raised more in total funding at $2.3B, compared to Fireworks AI's $327M — a gap of $2B. Combined, the two companies have completed 5 known funding rounds.
Which company has a higher Awaira Score?
It's a dead heat — both Fireworks AI and Lambda Labs sit at 82/100 on the Awaira Score. That score factors in valuation, funding, stage, headcount, and category.
Who founded Fireworks AI vs Lambda Labs?
Fireworks AI was founded by Lin Qiao in 2022. Lambda Labs was founded by Stephen Balaban in 2012. Visit each company's profile on Awaira for a full founder biography.
What does Fireworks AI do vs Lambda Labs?
Fireworks AI: Fireworks AI, founded in 2022, develops infrastructure software for deploying and running large language models (LLMs) in production environments. The company provides a platform that enables organizations to deploy, fine-tune, and optimize open-source and proprietary models with reduced latency and cost. Fireworks AI's core offering focuses on inference acceleration, allowing enterprises to serve LLMs efficiently at scale through specialized hardware optimization and software acceleration techniques. The platform supports multiple model architectures and enables customization for specific use cases, including content generation, summarization, and code completion. The company has secured $327M in total funding at a $4.0B valuation as of Series C, reflecting significant investor confidence in AI infrastructure. Fireworks AI operates in a competitive segment alongside providers like Together AI, Modal, and cloud-based solutions from major vendors. The company targets enterprises seeking to reduce operational costs associated with LLM deployment while maintaining performance control and data privacy. Its position reflects broader market trends toward distributed AI infrastructure and the need for cost-efficient model serving solutions. The infrastructure layer Fireworks occupies addresses a critical gap between model development and production deployment, supporting the growing adoption of generative AI across industries. Fireworks AI specializes in inference optimization infrastructure, enabling cost-effective production deployment of large language models for enterprise customers. Lambda Labs: Lambda Labs is a cloud infrastructure provider specializing in GPU and AI computing resources, founded in 2012 and headquartered in the USA. The company operates a Series E funding stage with a valuation of $4.0 billion and has raised $2.3 billion in total funding. Lambda Labs provides on-demand cloud computing infrastructure optimized for machine learning, deep learning, and AI workloads, offering GPU instances, CPU resources, and storage solutions designed for researchers, enterprises, and AI practitioners. The platform enables users to access high-performance computing resources without significant capital expenditure, addressing the computational demands of training large-scale AI models. Lambda Labs competes in the AI infrastructure market alongside established providers like AWS, Google Cloud, and Microsoft Azure, as well as specialized competitors such as Lambda, Crusoe Energy, and CoreWeave. The company positions itself as an alternative to hyperscale cloud providers by offering specialized infrastructure optimized specifically for AI and machine learning workloads, potentially with competitive pricing and customer-focused service models. Lambda Labs serves various sectors requiring intensive computational resources, including academic research institutions, startups, and enterprise organizations developing AI applications. The company's growth trajectory reflects increasing demand for accessible, scalable AI computing infrastructure as organizations accelerate machine learning adoption. Its substantial funding and valuation indicate investor confidence in the expanding AI infrastructure market. Lambda Labs provides specialized GPU cloud infrastructure optimized for AI and machine learning workloads as an alternative to general-purpose hyperscale cloud providers.
Which company was founded first?
Lambda Labs got there first, launching in 2012 — that's 10 years of extra runway. Fireworks AI didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
Fireworks AI has about 150 employees; Lambda Labs has about 300. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are Fireworks AI and Lambda Labs competitors?
Yes — they're direct rivals. Both Fireworks AI and Lambda Labs compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

It's close. Both Fireworks AI and Lambda Labs are strong players, and picking a winner depends on what you're looking for. Check each profile for the full picture.

Who Should You Watch?

This one's genuinely too close to call. Both companies are competitive, and the winner will likely come down to execution over the next 12-18 months. Follow both profiles on Awaira to track funding rounds, team changes, and score updates.

Deep Dive