Space Forge raises $30M Series A to make chip materials in space
Space Forge raises $30M Series A to make chip materials in space https://techcrunch.com/2025/05/31/space-forge-raises-30m-series-a-to-make-chip-materials-in-space/
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Evidence-bound summary — expand sections for movement, risks, and signals.
Memo snapshot · May 20, 2026, 6:12 PM
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TL;DR
Seed (YC)Wafer Ship the fastest inference in the world.
Raised $4M across 1 funding round. Latest: $4M Seed (Jan 2026). Investors: Fifty Years, Liquid2, Y Combinator. (High).
Funding
Raised $4M across 1 funding round. Latest: $4M Seed (Jan 2026). Investors: Fifty Years, Liquid2, Y Combinator. (High).
Hiring
1 hiring‑related row(s); role‑spam risk if mostly generic boards (Low).
GitHub
1 GitHub‑linked row(s) (Low).
Product / news
21 product/news‑styled row(s); headline risk without filings (High).
Verified facts
+5 more in Recent movement below
Space Forge raises $30M Series A to make chip materials in space https://techcrunch.com/2025/05/31/space-forge-raises-30m-series-a-to-make-chip-materials-in-space/
Blog | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Wafer Blog Posts GitHub LinkedIn X June 10, 2026 Balaji Varadarajan and Wafer Team The Inference Alpha: Maximizing Frontier Models on AMD How DigitalOcean and Wafer unlo
$4M seed led by Fifty Years with Liquid2 and YC; AI performance engineers for GPU inference.
No open roles indexed yet.
The index price and activity score are algorithmic estimates based on observed public company-level signals. They may be incomplete, stale, or inaccurate and are not investment, legal, tax, or business advice.
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discovery:google:HTTP 403
Source types found
Strongest / recent news-style rows
techcrunch · Mon, Jun 29, 01:50 AM · confidence 78%high quality
official_site_funding · Mon, Jun 29, 01:50 AM · confidence 80%high quality
Wed, May 20, 06:12 PM · confidence 88%high quality
Newest first · 41 event(s)
Source: Blog
The fastest open source LLMs for enterprise.
Source: Careers page
The fastest open source LLMs for enterprise.
Source: Homepage
The fastest open source LLMs for enterprise.
Source: hackernews
Source: techcrunch
Space Forge raises $30M Series A to make chip materials in space https://techcrunch.com/2025/05/31/space-forge-raises-30m-series-a-to-make-chip-materials-in-space/
Source: official_site
Team | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Team Maximize intelligence per watt by using AI to optimize AI infrastructure A small, in-person team in SF working on performance across accelerato…
Source: official_site_funding
Blog | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Wafer Blog Posts GitHub LinkedIn X June 10, 2026 Balaji Varadarajan and Wafer Team The Inference Alpha: Maximizing Frontier Models on AMD How Digita…
Source: official_site
Blog | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Wafer Blog Posts GitHub LinkedIn X June 10, 2026 Balaji Varadarajan and Wafer Team The Inference Alpha: Maximizing Frontier Models on AMD How Digita…
Source: official_site
Careers | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Careers at Wafer We’re Creating Self-Enhancing AI Starting with GPU kernels and expanding to all ML systems. We’re not actively filling any posit…
Source: official_site
Wafer | LLMs for enterprise Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in The fastest open source LLMs for enterprise Serverless and dedicated inference for the world’s fastest open-source LLMs Get Started F…
$4M seed led by Fifty Years with Liquid2 and YC; AI performance engineers for GPU inference.
S25; AI that makes AI fast for chip and cloud customers.
Source: GitHub (linked from site)
GitHub presence linked from official site for Wafer.
Source: Blog / news
Give your AI coding assistant direct access to GPUs. No manual SSH setup, no Docker, or infrastructure management.
Source: Blog / news
We found a benchmark blind spot when using cpp_extension.load() in our own NVFP4 suite on KernelArena. JIT compilation triggers CPU core migration, quietly inflating kernel launch times and deflating benchmark scores. Here's the investigation.
Source: Blog / news
Wafer is the GPU development stack that lives inside your editor: profiling (NCU), compiler explorer, and enhanced GPU docs.
Source: Blog / news
Give your AI coding assistant direct access to GPU documentation, trace analysis, and remote kernel evaluation with the wafer-ai CLI.
Source: Blog / news
Get accurate 1:1 kernel mappings across hardware providers. Compare large vLLM traces in seconds with clean prefill vs. decode separation.
Source: Blog / news
We used an AI agent to optimize AMD's topk_sigmoid kernel, achieving a 9x speedup over PyTorch. Here's exactly how our agent did it
Source: Blog / news
Large language models are driving a surge in inference workloads. While the AI community often gravitates toward more well-known GPUs, AMD's MI300X quietly stands out. Equipped with 192 GB of HBM3 and memory bandwidth of 5.3 TB/s, we explore how targeted opti…
Source: Blog / news
Profile AMD GPUs directly in VS Code and Cursor. View hardware metrics, roofline analysis, and kernel stats — all without leaving your editor.
Source: Blog / news
10 patterns we've tracked where LLMs game GPU kernel benchmarks, manipulating timers, returning garbage, caching results, and more, along with the defenses that catch them.
Source: Blog / news
How a fused kernel claiming 104x speedup passed our correctness checks while reading garbage memory, and the determinism check that catches it.
Source: Blog / news
How adding profiling tools to our CLI helped an agent break through a theory-based optimization plateau, achieving 11.65x speedup on the Kimi Delta Attention kernel.
Source: Blog / news
Open Chrome trace JSON files directly in your IDE with full Perfetto functionality — timeline, flamegraphs, SQL, and metrics.
Source: Blog / news
How a non-kernel-expert achieved 8x speedup on latency-critical CUDA clustering code using profile-guided optimization with Wafer.
Source: Blog / news
LLM-generated kernels are all the rage right now. We used frontier AI models to write HIP kernels for KernelBench and ran them on MI300Xs. Which ones performed the best?
Source: Blog / news
Wafer Pass now serves MiniMax-M2.7 live with a 204,800 token context window, built for long-context coding agents and production engineering workflows.
Source: Blog / news
An open platform for benchmarking AI-generated GPU kernels — with initial results from WaferBench NVFP4 on B200 and KernelBench HIP on MI300X.
Source: Blog / news
The GPU documentation tool that thousands of engineers loved in our IDE extension is now available as a standalone web app.
Source: Blog / news
Cloud CUDA compilation with PTX/SASS output, PyTorch headers, and VS Code integration. No local CUDA install required.
Source: Blog / news
As the AI hardware ecosystem rapidly expands, choosing the right accelerator has become increasingly complex. We're excited to introduce Chip Benchmark, an open-source benchmarking suite purpose-built to evaluate the performance of open-weight LLMs across div…
Source: npm_registry
Wafer SDK for Node.js
Source: npm_registry
Wafer chart by canvas
Source: npm_registry
Wafer SDK for Node.js
Source: npm_registry
Wafer chart
Source: npm_registry
Agent-native CLI for Wafer — the AI security gateway. Manage projects, guardrails, limits, logs and run guardrail tests from the terminal or an agent.
Source: hackernews
Source: hackernews
5 row(s)
The company's own site — the authoritative description of what they sell and to whom. Marketing-controlled, so treat claims as positioning rather than verified traction.
The fastest open source LLMs for enterprise.
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Team | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Team Maximize intelligence per watt by using AI to optimize AI infrastructure A small, in-person team in SF working on performance across accelerato…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Blog | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Wafer Blog Posts GitHub LinkedIn X June 10, 2026 Balaji Varadarajan and Wafer Team The Inference Alpha: Maximizing Frontier Models on AMD How Digita…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Careers | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Careers at Wafer We’re Creating Self-Enhancing AI Starting with GPU kernels and expanding to all ML systems. We’re not actively filling any posit…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗Wafer | LLMs for enterprise Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in The fastest open source LLMs for enterprise Serverless and dedicated inference for the world’s fastest open-source LLMs Get Started F…
Why it matters: Primary source — the company's own positioning; best read for what they sell and to whom, not for traction claims.
Open source ↗3 row(s)
Third-party press coverage. Independent reporting corroborates company claims; repeated coverage across outlets is a momentum signal.
S25; AI that makes AI fast for chip and cloud customers.
Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗Why it matters: Independent coverage — third-party corroboration of company claims; recurring coverage indicates rising visibility.
Open source ↗3 row(s)
Funding announcements and investor-database records. The strongest public signal of capitalization: round, amount, and syndicate quality when disclosed.
Space Forge raises $30M Series A to make chip materials in space https://techcrunch.com/2025/05/31/space-forge-raises-30m-series-a-to-make-chip-materials-in-space/
Why it matters: Funding signal — Series A per this source; verify against the linked original before relying on it.
Open source ↗Blog | Wafer Blog Team Careers Cases Manifesto Log in Sign up Sign up Blog Team Careers Cases Manifesto Log in Wafer Blog Posts GitHub LinkedIn X June 10, 2026 Balaji Varadarajan and Wafer Team The Inference Alpha: Maximizing Frontier Models on AMD How Digita…
Why it matters: Funding signal — Seed per this source; verify against the linked original before relying on it.
Open source ↗$4M seed led by Fifty Years with Liquid2 and YC; AI performance engineers for GPU inference.
Why it matters: Funding signal — Seed per this source; verify against the linked original before relying on it.
Open source ↗1 row(s)
Open roles and careers pages. Active hiring implies runway to spend and shows where the company is investing (engineering vs GTM vs ops).
The fastest open source LLMs for enterprise.
Why it matters: Hiring signal — open roles imply runway to spend and show where the company is investing.
Open source ↗6 row(s)
Public engineering activity. Sustained commits, releases, and stars indicate real product development and, for dev tools, developer adoption.
GitHub presence linked from official site for Wafer.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Wafer SDK for Node.js
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Wafer chart by canvas
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Wafer SDK for Node.js
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Wafer chart
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗Agent-native CLI for Wafer — the AI security gateway. Manage projects, guardrails, limits, logs and run guardrail tests from the terminal or an agent.
Why it matters: Engineering signal — public repo activity evidences active development and possible developer adoption.
Open source ↗3 row(s)
Social presence and mentions. A soft signal — useful for gauging attention and launch reception, not a substitute for verified traction.
Why it matters: Attention signal — social mention or presence; soft signal of market interest.
Open source ↗Why it matters: Attention signal — social mention or presence; soft signal of market interest.
Open source ↗Why it matters: Attention signal — social mention or presence; soft signal of market interest.
Open source ↗20 row(s)
Company blog and newsletters. Shipping cadence and technical depth of posts hint at product velocity and team quality.
The fastest open source LLMs for enterprise.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Give your AI coding assistant direct access to GPUs. No manual SSH setup, no Docker, or infrastructure management.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗We found a benchmark blind spot when using cpp_extension.load() in our own NVFP4 suite on KernelArena. JIT compilation triggers CPU core migration, quietly inflating kernel launch times and deflating benchmark scores. Here's the investigation.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Wafer is the GPU development stack that lives inside your editor: profiling (NCU), compiler explorer, and enhanced GPU docs.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Give your AI coding assistant direct access to GPU documentation, trace analysis, and remote kernel evaluation with the wafer-ai CLI.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Get accurate 1:1 kernel mappings across hardware providers. Compare large vLLM traces in seconds with clean prefill vs. decode separation.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗We used an AI agent to optimize AMD's topk_sigmoid kernel, achieving a 9x speedup over PyTorch. Here's exactly how our agent did it
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Large language models are driving a surge in inference workloads. While the AI community often gravitates toward more well-known GPUs, AMD's MI300X quietly stands out. Equipped with 192 GB of HBM3 and memory bandwidth of 5.3 TB/s, we explore how targeted opti…
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Profile AMD GPUs directly in VS Code and Cursor. View hardware metrics, roofline analysis, and kernel stats — all without leaving your editor.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗10 patterns we've tracked where LLMs game GPU kernel benchmarks, manipulating timers, returning garbage, caching results, and more, along with the defenses that catch them.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗How a fused kernel claiming 104x speedup passed our correctness checks while reading garbage memory, and the determinism check that catches it.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗How adding profiling tools to our CLI helped an agent break through a theory-based optimization plateau, achieving 11.65x speedup on the Kimi Delta Attention kernel.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Open Chrome trace JSON files directly in your IDE with full Perfetto functionality — timeline, flamegraphs, SQL, and metrics.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗How a non-kernel-expert achieved 8x speedup on latency-critical CUDA clustering code using profile-guided optimization with Wafer.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗LLM-generated kernels are all the rage right now. We used frontier AI models to write HIP kernels for KernelBench and ran them on MI300Xs. Which ones performed the best?
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Wafer Pass now serves MiniMax-M2.7 live with a 204,800 token context window, built for long-context coding agents and production engineering workflows.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗An open platform for benchmarking AI-generated GPU kernels — with initial results from WaferBench NVFP4 on B200 and KernelBench HIP on MI300X.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗The GPU documentation tool that thousands of engineers loved in our IDE extension is now available as a standalone web app.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Cloud CUDA compilation with PTX/SASS output, PyTorch headers, and VS Code integration. No local CUDA install required.
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗As the AI hardware ecosystem rapidly expands, choosing the right accelerator has become increasingly complex. We're excited to introduce Chip Benchmark, an open-source benchmarking suite purpose-built to evaluate the performance of open-weight LLMs across div…
Why it matters: Company publishing — post cadence and depth hint at product velocity.
Open source ↗Sign in as an active team member to view private notes, watchlist controls, transcript evidence, and interaction history.