Title	Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster
ID	31219821
External ID	120000297
Author
Published Date	April 27, 2026, 7 a.m.
Summary	This is a paid press release. Contact the press release distributor directly with any inquiries. Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster Alpha Compute Corp. Mon,
Tags
URL	https://finance.yahoo.com/sectors/technology/articles/alpha-compute-ai-gpu-launch-120000297.html
Sentiment	Negative: 0.01249 Neutral: 0.93488 Positive: 0.05263
Relevance	0.02778

Content ID	38213768
Key	6fb2c232-877f-4b56-b693-da0f1fdd3779
Content	This is a paid press release. Contact the press release distributor directly with any inquiries. Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster Alpha Compute Corp. Mon, April 27, 2026 at 8:00 AM EDT 5 min read NVDA ALP Alpha Compute Corp. NVIDIA Blackwell Cluster Launch Target of May 8, 2026; Additional Three-Cluster Deployment is Roadmap to $72 million in Annual Recurring Revenue ROAD TOWN, British Virgin Islands, April 27, 2026 (GLOBE NEWSWIRE) -- Alpha Compute Corp. (NASDAQ: ALP) , a pioneering technology leader in AI GPU-as-a-service (GPUaaS) and AI Confidential Compute, today provided an update on the deployment status of its NVIDIA Blackwell GPU infrastructure. The Company confirms that its first large-scale GPU cluster, a 504-chip NVIDIA B200 server deployment located in Canada, ALPHA-01 , is now in final testing and is targeted to hand over to AI compute customers on May 8, 2026. Upon the launch of the ALPHA-01 cluster, Alpha Compute's balance sheet is projected to reflect total assets of $48.1 million, total liabilities of $36.8 million, and total equity of $11.3 million. These enterprise-grade deployments follow Alpha Compute’s test bed deployments of NVIDIA B300s, B200s and H200s, which have been purchased, installed and upgraded to AI Confidential Computing from November 2025 through the present. Alpha Compute has been able to prove out its confidential computing thesis and capabilities, and is now in growth mode. ALPHA-01 B200 Cluster Go-Live Target of May 8, 2026 Alpha Compute's inaugural large-scale deployment consists of 504 NVIDIA B200 GPUs hosted in a Canadian data center. The cluster was originally targeted for a March 31, 2026 launch; however, delivery of critical hardware components from the manufacturer was subject to supply -chain delays that pushed the timeline by four weeks. The machines are now fully installed and in their final testing phase. The data center management team is on track to deploy the cluster into production for customer use on May 8, 2026. ALPHA-01 deployment is designed for scalability. Alpha Compute holds a contractual Right-of-First-Refusal (ROFR) on an expansion to more than 1,000 NVIDIA B200 chips at the same facility, with a targeted expansion go-live in August 2026 (ALPHA-03), providing a clear path to doubling Canadian compute capacity within the same operating year. "The May 8 handover marks a pivotal milestone — the moment our infrastructure business moves from pipeline to production. Our machines are in final testing, and customers will be coming online shortly. We've been building secure infrastructure for frontier AI workloads, and that infrastructure is now reaching enterprise-scale deployments." — Brittany Kaiser, CEO, Alpha Compute Corp. ALPHA-01 Cluster: Deployment Summary Location: Canada Hardware: 504 NVIDIA B200 GPUs Energy: 100% Hydro Status: Final testing phase; data center management targeting May 8, 2026 handover Original Timeline: March 2026 (delayed due to hardware delivery delays) Expansion ROFR: 1,000+ NVIDIA B200 GPUs; targeted August 2026 go-live Story Continues ALPHA-02 Sweden B300 Cluster: June 2026 Target Alpha Compute has secured a binding term sheet for bridge financing to fund its second major deployment, a 576-chip NVIDIA B300 cluster at Equinix's AtNorth datacenter in Sweden, one of Northern Europe's premier high-performance computing facilities. The cluster is targeted to go live in June 2026. Consistent with its Canadian deployment, Alpha Compute holds a ROFR to expand the Sweden facility to more than 1,000 NVIDIA B300 GPUs, with a second Sweden cluster targeted for September 2026. "Securing the bridge financing removes a key structural hurdle to our Sweden deployment. AtNorth at Equinix is among the finest data center environments in Europe, and the NVIDIA B300 is the most advanced GPU we have deployed to date. With a June go-live and a clear ROFR path to 1,000+ B300s by September, we are executing on our plan to build the most capable confidential AI compute infrastructure in the world." - Brittany Kaiser, CEO, Alpha Compute Corp. ALPHA-02 Cluster: Deployment Summary Location: Equinix AtNorth Datacenter, Sweden Hardware: 576 NVIDIA B300 GPUs Energy: 100% Hydro Status: Bridge financing binding term sheet signed Target Go-Live: June 2026 Expansion ROFR: 1,000+ NVIDIA B300 GPUs; targeted September 2026 go-live ALPHA-03 and ALPHA-04 Deployments These deployments follow Alpha Compute's earlier testbed installations of NVIDIA B300, B200, and H200 GPUs that were purchased, installed, and upgraded to AI Confidential Computing between November 2025 and the present. Having validated its confidential computing thesis, the Company is now in growth mode. All four clusters operate NVIDIA Blackwell-generation GPUs within Trusted Execution Environments (TEEs) using Intel TDX — the foundation of Alpha Compute's confidential compute mandate. Once fully operational, the combined footprint of currently planned deployments is projected to generate $72 million in annual revenue ($6 million per month). Alpha Compute Deployment Roadmap ALPHA-01 Cluster - May 8, 2026: Canada B200s (504 chips) ALPHA-02 Cluster - June 2026: Sweden B300s at AtNorth/Equinix (576 chips) ALPHA-03 Cluster - August 2026: Canada B200s (Expansion to 1,000+ chips, ROFR) ALPHA-04 Cluster - September 2026: Sweden B300s (Expansion to 1,000+ chips, ROFR) About Alpha Compute Corp. Alpha Compute Corp. (NASDAQ: ALP), formerly AlphaTON Capital Corp. (NASDAQ: ATON), is a technology leader in AI GPU-as-a-service (GPUaaS) and AI Confidential Compute. Alpha Compute builds and operates businesses at the intersection of confidential compute, artificial intelligence, and digital assets. The Company’s GPU assets deliver privacy-preserving computation to partners and applications including Telegram, Animoca Brands, GAMEE, and Midnight Network. Alpha Compute is incorporated in the British Virgin Islands. Visit https://www.alphacompute.ai/ Forward-Looking Statements This press release contains forward-looking statements within the meaning of applicable securities laws. All statements other than statements of historical fact, including those preceded by, followed by, or incorporating words such as "believes," "expects," "anticipates," "intends," "estimates," "plans," "may," "will," "potential," "continues," or similar expressions are forward-looking statements. Forward-looking statements in this release include, without limitation: the expected timing and go-live dates for Alpha Compute's GPU cluster deployments; projected revenue from the Company's AI infrastructure buildout; anticipated benefits from the Company's confidential compute partnerships and infrastructure expansion; and the Company's broader business strategy and operational plans. These statements involve known and unknown risks and uncertainties that may cause actual results to differ materially from those expressed or implied, including: the timing and progress of the Company's strategic initiatives; reliance on third-party vendors and partners; the ability to secure additional financing; uncertainty around the Company's investments and legacy business; risks related to technology platforms and ecosystems; and general market and economic conditions. A more complete discussion of these risks is set forth under "Item 3 - Key Information - Risk Factors" in the Company's Annual Report on Form 20-F for the year ended March 31, 2025, and in the Company's Forms 6-K filed with the Securities and Exchange Commission on September 3, 2025 and January 13, 2026. Undue reliance should not be placed on these forward-looking statements. The forward-looking statements contained herein are made as of the date of this press release, and the Company undertakes no obligation to update or revise them publicly, except as required by law. Investor & Media Contact Alpha Compute Corp. ir@alphacompute.ai www.alphacompute.ai CONTACT: ir(at)alphacompute.ai View Comments Terms and Privacy Policy Privacy Dashboard More Info
Content Reference URL	None

Publisher Name	Financial Planning (#6135)
Publisher URL	https://finance.yahoo.com
Description	None
Trust Flow Score	83
Citation Flow Score	57

Data Source Name	Yahoo Finance News (#2)
Data Source Type	news
Data Source URL	https://finance.yahoo.com/
Description	Yahoo! Finance is a media property that is part of the Yahoo! network. It provides financial news, data and commentary including stock quotes, press releases, financial reports, and original content. It also offers some online tools for personal finance management.
Weight	10

DJDT

Versions

Package	Name	Version
Django		5.2.1
Python		3.11.8
coverage	Coverage	7.4.4
debug_toolbar	Debug Toolbar	4.3.0
django_extensions	Django Extensions	5.2.1
grappelli	Grappelli	4.0.2

Time

Resource usage

Resource	Value
User CPU time	49.022 msec
System CPU time	4.605 msec
Total CPU time	53.627 msec
Elapsed time	89.272 msec
Context switches	12 voluntary, 0 involuntary

Browser timing

Timing attribute	Timeline	Milliseconds since navigation start (+length)

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SIGNING_BACKEND	`'django.core.signing.TimestampSigner'`
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SQL_FILES_DIR	`'/mnt/disks/pennyloupe_disk/pennyloupe/app/core/sql'`
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Response headers

Key	Value
Content-Type	text/html; charset=utf-8

WSGI environ

Since the WSGI environ inherits the environment of the server, only a significant subset is shown below.

Key	Value
CONTENT_LENGTH
CONTENT_TYPE
PATH_INFO	/ticker/ALP/content/31219821
QUERY_STRING
REMOTE_ADDR	216.73.216.21
REQUEST_METHOD	GET
SCRIPT_NAME
SERVER_NAME	pennyloupe.com
SERVER_PORT	443
SERVER_PROTOCOL	HTTP/1.1

Request

View information

View function	Arguments	Keyword arguments	URL name
`app.core.views.app.ticker_content_detail`	`()`	`{'content_id': 31219821, 'ticker': 'ALP'}`	`ticker_content_detail`

No cookies

No session data

No GET data

No POST data

SQL queries from 1 connection

default 17.28 ms (5 queries )

Query Timeline Time (ms) Action

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5.70

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/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
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3.27

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
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/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
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2.17

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
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/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
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2.23

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2336)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
FROM "pl_content"
WHERE "pl_content"."parent_content_id" = 31219821SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 31219821

3.91

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2348)
  return render(request, "ticker_content_detail.html", context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/shortcuts.py in render(25)
  content = loader.render_to_string(template_name, context, request, using=using)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader.py in render_to_string(62)
  return template.render(context, request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/backends/django.py in render(107)
  return self.template.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(171)
  return self._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(159)
  return compiled_parent._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(65)
  result = block.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in render(320)
  match = condition.eval(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in eval(61)
  return func(context, self.first, self.second)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in <lambda>(107)
  ">": infix(10, lambda context, x, y: x.eval(context) > y.eval(context)),

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in eval(886)
  return self.value.resolve(context, ignore_failures=True)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(722)
  obj = self.var.resolve(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(854)
  value = self._resolve_lookup(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in _resolve_lookup(925)
  current = current()

27	`<td><a href="{% url 'ticker_content_detail' ticker=ticker content_id=content_detail.content.parent.id %}">{{ content_detail.content.parent.title }}</a></td>`
28	`</tr>`
29	`{% endif %}`
30	`{% if content_detail.content.children.count > 0 %}`
31	`<tr>`
32	`<th>Children</th>`
33	`<td>`
34	`<ul>`

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html

Static files (720 found, 2 used)

Static file paths

None

Static file apps

grappelli
django.contrib.admin
django_htmx
app.core
django_extensions
debug_toolbar

Static files

css/pennyloupe.css: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
img/penny_loupe_logo.png: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png

django.contrib.staticfiles.finders.AppDirectoriesFinder (720 files)

Templates (6 rendered)

Template path

templates

Templates

ticker_content_detail.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7eff2ccd6de0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7eff2ccd76a0>>'} {'content_detail': {'content': <Content: Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster - >, 'content_content': <ContentContent: Content ID: 38213768>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: Financial Planning>}, 'ticker': 'ALP'}
base.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7eff2ccd6de0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7eff2ccd76a0>>'} {'content_detail': {'content': <Content: Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster - >, 'content_content': <ContentContent: Content ID: 38213768>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: Financial Planning>}, 'ticker': 'ALP'}
components/leftnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7eff2ccd6de0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7eff2ccd76a0>>'} {'content_detail': {'content': <Content: Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster - >, 'content_content': <ContentContent: Content ID: 38213768>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: Financial Planning>}, 'ticker': 'ALP'} {'block': <Block Node: leftnav. Contents: [<TextNode: '\n <div'>, <IncludeNode: template=<FilterExpression '"components/leftnav.html"'>>, <TextNode: '\n </di'>]>}
components/header.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7eff2ccd6de0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7eff2ccd76a0>>'} {'content_detail': {'content': <Content: Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster - >, 'content_content': <ContentContent: Content ID: 38213768>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: Financial Planning>}, 'ticker': 'ALP'} {'block': <Block Node: header. Contents: [<TextNode: '\n\n '>, <IncludeNode: template=<FilterExpression '"components/header.html"'>>, <TextNode: '\n\n '>]>}
components/ticker_subnav.html: /mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/ticker_subnav.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7eff2ccd6de0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7eff2ccd76a0>>'} {'content_detail': {'content': <Content: Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster - >, 'content_content': <ContentContent: Content ID: 38213768>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: Financial Planning>}, 'ticker': 'ALP'} {'block': <Block Node: content. Contents: [<TextNode: '\n\n <div class="uk-flex'>, <IncludeNode: template=<FilterExpression '"components/ticker_subnav.html"'>>, <TextNode: '\n <!-- /SUB NAV--'>, <Variable Node: content_detail.content.title>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.external_id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.author>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.publish_dt>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.summary>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.tags>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.sentiment_negative>, <TextNode: '   \n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '   \n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '<br/>\n '>, <django.template.defaulttags.WidthRatioNode object at 0x7eff2e919a90>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7eff2e919e90>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7eff2e91a2d0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.relevance_score>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n <li clas'>, <Variable Node: content_detail.data_source.name>, <TextNode: '\n '>, <Variable Node: content_detail.data_source.id>, <TextNode: ')\n '>, <Variable Node: content_detail.data_source.type>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.url>, <TextNode: '" target="_blank">'>, <Variable Node: content_detail.data_source.url>, <TextNode: '</a></td>\n '>, <Variable Node: content_detail.data_source.description>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.weight>, <TextNode: '</td>\n '>]>} {'ticker': 'ALP'}
components/footer.html: /mnt/disks/pennyloupe_disk/pennyloupe/templates/components/footer.html; Toggle context
{'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7eff2ccd6de0>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7eff2ccd76a0>>'} {'content_detail': {'content': <Content: Alpha Compute AI GPU Launch Update; First Large-Scale NVIDIA Blackwell Cluster - >, 'content_content': <ContentContent: Content ID: 38213768>, 'data_source': <DataSource: Yahoo Finance News>, 'publisher': <ContentPublisher: Financial Planning>}, 'ticker': 'ALP'} {'block': <Block Node: footer. Contents: [<TextNode: '\n '>, <IncludeNode: template=<FilterExpression '"components/footer.html"'>>, <TextNode: '\n '>]>}

Context processors

django.template.context_processors.csrf: Toggle context
{'csrf_token': <SimpleLazyObject: <function csrf.<locals>._get_val at 0x7eff2ccd6de0>>}
django.template.context_processors.debug: Toggle context
{}
django.template.context_processors.request: Toggle context
{'request': <WSGIRequest: GET '/ticker/ALP/content/31219821'>}
django.contrib.auth.context_processors.auth: Toggle context
{'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7eff2ccd76a0>>)}
django.contrib.messages.context_processors.messages: Toggle context
{'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/ALP/content/31219821'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

Total calls	Total time	Cache hits	Cache misses
0	0 ms	0	0

Commands

add	get	set	get_or_set	touch	delete	clear	get_many	set_many	delete_many	has_key	incr	decr	incr_version	decr_version
0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Signals

Signal	Receivers
class_prepared
connection_created	register_type_handlers
got_request_exception
m2m_changed
post_delete
post_init
post_migrate	create_permissions, create_contenttypes
post_save	create_initial_trade_position
pre_delete
pre_init
pre_migrate	inject_rename_contenttypes_operations
pre_save
request_finished	close_old_connections, close_caches, reset_urlconf
request_started	reset_queries, close_old_connections
setting_changed	reset_cache, clear_cache_handlers, update_installed_apps, update_connections_time_zone, clear_routers_cache, reset_template_engines, storages_changed, clear_serializers_cache, language_changed, localize_settings_changed, complex_setting_changed, root_urlconf_changed, static_storage_changed, static_finders_changed, form_renderer_changed, auth_password_validators_changed, user_model_swapped, update_toolbar_config, reset_hashers, Options.setting_changed, update_level_tags, uninstall_if_needed, clear_caches, StaticFilesStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties

Path	Location
.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/.DS_Store
grappelli/.DS_Store	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/.DS_Store
grappelli/js/grappelli.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.js
grappelli/js/jquery.grp_related_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_m2m.js
grappelli/js/jquery.grp_autocomplete_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_fk.js
grappelli/js/jquery.grp_autocomplete_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_generic.js
grappelli/js/jquery.grp_timepicker.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_timepicker.js
grappelli/js/jquery.grp_collapsible_group.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible_group.js
grappelli/js/jquery.grp_related_generic.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_generic.js
grappelli/js/jquery.grp_related_fk.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_fk.js
grappelli/js/jquery.grp_collapsible.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible.js
grappelli/js/grappelli.min.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.min.js
grappelli/js/jquery.grp_autocomplete_m2m.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_m2m.js
grappelli/js/jquery.grp_inline.js	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_inline.js
grappelli/images/spritesheet-1694777276.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/spritesheet-1694777276.png
grappelli/images/backgrounds/loading-small.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/loading-small.gif
grappelli/images/backgrounds/changelist-results.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/changelist-results.png
grappelli/images/backgrounds/ui-sortable-placeholder.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/ui-sortable-placeholder.png
grappelli/images/backgrounds/nav-grabber.gif	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/nav-grabber.gif
grappelli/images/backgrounds/messagelist.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/backgrounds/messagelist.png
grappelli/images/icons/ui-datepicker-next.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/ui-datepicker-next.png
grappelli/images/icons/link-external-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-external-small_hover.png
grappelli/images/icons/tools-arrow-up-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-arrow-up-handler_hover.png
grappelli/images/icons/date-hierarchy-back.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/date-hierarchy-back.png
grappelli/images/icons/tools-delete-handler-predelete.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler-predelete.png
grappelli/images/icons/breadcrumbs-rtl.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs-rtl.png
grappelli/images/icons/datepicker_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/datepicker_hover.png
grappelli/images/icons/tools-trash-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-trash-handler_hover.png
grappelli/images/icons/selector-add-m2m-vertical_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/selector-add-m2m-vertical_hover.png
grappelli/images/icons/tools-related-remove-handler-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small_hover.png
grappelli/images/icons/sorted-descending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-descending.png
grappelli/images/icons/breadcrumbs_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/breadcrumbs_hover.png
grappelli/images/icons/tools-viewsite-link_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-viewsite-link_hover.png
grappelli/images/icons/object-tools-add-link.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/object-tools-add-link.png
grappelli/images/icons/tools-related-edit-handler-small-disabled.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-edit-handler-small-disabled.png
grappelli/images/icons/tools-related-remove-handler-small-disabled.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-related-remove-handler-small-disabled.png
grappelli/images/icons/sorted-ascending.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/sorted-ascending.png
grappelli/images/icons/link-internal-rtl-small_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/link-internal-rtl-small_hover.png
grappelli/images/icons/pulldown-handler_selected.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/pulldown-handler_selected.png
grappelli/images/icons/tools-delete-handler_hover.png	/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/images/icons/tools-delete-handler_hover.png

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